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Ira A. Fulton Schools of Engineering
Prognostic Analysis and Reliability Assessment
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Publications

Journal Publications

(highlighted Liu, Y/Yongming Liu indicating the corresponding author; * indicating my current/former students; ** indicating my current/former postdoc; *** indicating my current/former visiting scholars)

Submitted/under Revision Journal Article Drafts

  1. Zhang, Z.* & Liu, Y. Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations. arXiv Prepr. arXiv2107.07040 (2021) – Mechanical Systems and Signal Processing; first revision finished; under review).
  2. Haoyang Wei, Houpu Yao, Y. Liu. Fracture Pattern Prediction with Random Microstructure using a Physics-Informed Deep Neural Networks. Eng. Fract. Mech. (2021) – first revision received; under review.
  3. Yi Gao*, Yang Jiao, Y. Liu. Ultraefficient reconstruction of disordered biphase materials with effective hyperuniformity. Phys. Rev. B (2021) – first revision received; under revision.
  4. Hu, J., Xu, Z., Wang, W., Qu, G., Pang, Y.* & Liu, Y. Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. arXiv Prepr. arXiv2110.00096 (2021)-AAAI 2022; first abstract accepted, under revision.
  5. Yang Yu**, Y. Liu. Physics-guided generative adversarial network for probabilistic structural system identification. Expert Syst. Appl. (2021) – first revision received, under review.
  6. Chen, J.* & Liu, Y. Fatigue modeling using neural networks: a comprehensive review. Fatigue & Fracture of Engineering Materials (2021) – invited review article, first revision received, under review.
  7. Chen, J*, Gao, Y * & Liu, Y. “Multi-fidelity data aggregation using convolutional neural networks.” Computer Methods in Applied Mechanics and Engineering, (2021) – first revision finished, under review.
  8. Meng, C.* & Liu, Y. Nonlocal Damage-enhanced Plasticity Model for Ductile Fracture Analysis Using a Lattice Particle Method. arXiv Prepr. arXiv2108.01214 (2021) – Computational Mechanics, submitted.
  9. Pang, Y., Cheng, S., Hu, J. & Liu, Y. Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. arXiv Prepr. arXiv2106.09223 (2021)-Neural Computing, submitted.
  10. Nan Xu, Y. Liu. Smooth Orthogonal Projection on Uniform Riemannian Manifold. IEEE Trans. Pattern Anal. Mach. Intell. (2021) – submitted; under review.
  11. Zhiming Zhang*, Nan Xu, Y. Liu. Robust physics discovery via supervised and unsupervised pattern recognition using the Euler Characteristic. Nat. Commun. (2021) – submitted; under review.
  12. Chen, Jie*, and Yongming Liu. “Physics-guided mixture density networks for uncertainty quantification.” Reliability Engineering & System Safety (2021) -submitted; under review.

Published Journal Articles

  1. Zhang, Z.** and Liu, Y., 2021. A robust framework for identification of PDEs from noisy data. Journal of Computational Physics, 446, p.110657.
  2. Chen, J.* & Liu, Y. Fatigue property prediction of additively manufactured Ti-6Al-4V using probabilistic physics-guided learning. Addit. Manuf. 39, 101876 (2021).
  3. Chen, J.* & Liu, Y. Probabilistic physics-guided machine learning for fatigue data analysis. Expert Syst. Appl. 168, 114316 (2021).
  4. Zhao, P.** & Liu, Y. Physics Informed Deep Reinforcement Learning for Aircraft Conflict Resolution. IEEE Trans. Intell. Transp. Syst. (2021).
  5. Tien, S-C, Wei, H, Chen, J*, Liu, Y. Energy-based time derivative damage accumulation model under uniaxial and multiaxial random loadings. Fatigue Fract Eng Mater Struct. 2021; 1- 15. doi:10.1111/ffe.13591
  6. Gao, Y.*, Jiao, Y. & Liu, Y. Ultra-efficient reconstruction of 3D microstructure and distribution of properties of random heterogeneous materials containing multiple phases. Acta Mater. 204, 116526 (2021).
  7. Gao, Y.*, Jiao, Y. & Liu, Y. Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation. Appl. Math. Model. 91, 1117–1140 (2021).
  8. Gao, Y.* & Liu, Y. Reliability-based topology optimization with stochastic heterogeneous microstructure properties. Mater. Des. 205, 109713 (2021).
  9. Pang, Y.*, Zhao, X., Yan, H. & Liu, Y. Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach. Transp. Res. Part C Emerg. Technol. 130, 103326 (2021).
  10. Sharma, A., Chen, J., Diewald, E., Imanian, A., Beuth, J. & Liu, Y. Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V. ASCE-ASME J. Risk Uncertain. Eng. Syst. Part B Mech. Eng. 8, 11108 (2021).
  11. Yu, Y.*, Cai, C. S. & Liu, Y. Probabilistic vehicle weight estimation using physics‐constrained generative adversarial network. Comput. Civ. Infrastruct. Eng. (2021).
  12. Yu, Y.*, Kurian, B., Zhang, W., Cai, C. S. & Liu, Y. Fatigue damage prognosis of steel bridges under traffic loading using a time-based crack growth method. Eng. Struct. 237, 112162 (2021).
  13. Zhao, P.**, Erzberger, H. & Liu, Y. Multiple-Aircraft-Conflict Resolution Under Uncertainties. J. Guid. Control. Dyn. 1–19 (2021).
  14. Wang, Y., Pang, Y., Chen, O., Iyer, H. N., Dutta, P., Menon, P. K. & Liu, Y. Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion. Reliab. Eng. Syst. Saf. 212, 107650 (2021).
  15. Ke, L., Li, C., He, J., Lu, Y., Jiao, Y. & Liu, Y. Fatigue evaluation and CFRP strengthening of diaphragm cutouts in orthotropic steel decks. Steel Compos. Struct. 39, 453–469 (2021).
  16. Dai, R., Chandrasekaran, G., Chen, J.*, Jackson, C., Liu, Y., Nian, Q. & Kwon, B. Thermal conductivity of metal coated polymer foam: Integrated experimental and modeling study. Int. J. Therm. Sci. 169, 107045 (2021).
  17. Wang, W.*, Liu, Y., Srikant, R. & Ying, L. 3M-RL: Multi-Resolution, Multi-Agent, Mean-Field Reinforcement Learning for Autonomous UAV Routing. IEEE Trans. Intell. Transp. Syst. (2021).
  18. Yousaf, A., Gilliam, M. S., Chang, S. L. Y., Augustin, M., Guo, Y., Tahir, F.*, Wang, M., Schwindt, A., Chu, X. S. & Li, D. O. Exfoliation of Quasi-Two-Dimensional Nanosheets of Metal Diborides. J. Phys. Chem. C 125, 6787–6799 (2021).
  19. Chen, J.*, Ersoy, D. & Liu, Y. Probabilistic bulk property estimation using multimodality surface non-destructive measurements for vintage pipes. Struct. Saf. 87, 101995 (2020).
  20. Chen, J.*, Imanian, A., Wei, H., Iyyer, N. & Liu, Y. Piecewise stochastic rainflow counting for probabilistic linear and nonlinear damage accumulation considering loading and material uncertainties. Int. J. Fatigue 140, 105842 (2020).
  21. Chen, J., Liu, S., Zhang, W.* & Liu, Y. Uncertainty quantification of fatigue SN curves with sparse data using hierarchical Bayesian data augmentation. Int. J. Fatigue 134, 105511 (2020).
  22. Hu, J.*, Erzberger, H., Goebel, K. & Liu, Y. Probabilistic risk-based operational safety bound for rotary-wing unmanned aircraft systems traffic management. J. Aerosp. Inf. Syst. 17, 171–181 (2020).
  23. Wang, Y.* & Liu, Y. Bayesian entropy network for fusion of different types of information. Reliab. Eng. Syst. Saf. 195, 106747 (2020).
  24. Wang, Y., Peng, T., Lever, E. & Liu, Y. An Equivalent Creep Crack Growth Model for Probabilistic Life Prediction of Plastic Pipe Materials. J. Press. Vessel Technol. 142, 31501 (2020).
  25. Wei, H.*, Carrion, P., Chen, J., Imanian, A., Shamsaei, N., Iyyer, N. & Liu, Y. Multiaxial high-cycle fatigue life prediction under random spectrum loadings. Int. J. Fatigue 134, 105462 (2020).
  26. Wei, H., Chen, H. & Liu, Y. A nonlocal lattice particle model for J2 plasticity. Int. J. Numer. Methods Eng. 121, 5469–5489 (2020).
  27. Wei, H.* & Liu, Y. An energy-based model to assess multiaxial fatigue damage under tension-torsion and tension-tension loadings. Int. J. Fatigue 141, 105858 (2020).
  28. Yao, H., Gao, Y. & Liu, Y. FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction. Comput. Methods Appl. Mech. Eng. Accepted, (2020).
  29. Yu, Y.*, Yao, H. & Liu, Y. Structural dynamics simulation using a novel physics-guided machine learning method. Eng. Appl. Artif. Intell. 96, 103947 (2020).
  30. Zhao, P.**, Joerger, M., Liang, X., Pervan, B. & Liu, Y. A New Method to Bound the Integrity Risk for Residual-Based ARAIM. IEEE Trans. Aerosp. Electron. Syst. 57, 1378–1385 (2020).
  31. Zhao, P.*, Wang, W., Ying, L., Sridhar, B. & Liu, Y. Online Multiple-Aircraft Collision Avoidance Method. J. Guid. Control. Dyn. 43, 1456–1472 (2020).
  32. Ke, L., Li, C., He, J., Shen, Q., Liu, Y. & Jiao, Y. Enhancing fatigue performance of damaged metallic structures by bonded CFRP patches considering temperature effects. Mater. Des. 192, 108731 (2020).
  33. Wang, D., Wang, L., Liu, Y., Tan, B. & Liu, Y. Failure mechanism investigation of bottom plate in concrete box girder bridges. Eng. Fail. Anal. 116, 104711 (2020).
  34. Wei, Haoyang, Patricio Carrion, Jie Chen, Anahita Imanian, Nima Shamsaei, Nagaraja Iyyer, and Yongming Liu. “Multiaxial high-cycle fatigue life prediction under random spectrum loadings.” International Journal of Fatigue (2019): 105462.
  35. Wang, Yuhao, Tishun Peng, Ernest Lever, and Yongming Liu. “An equivalent creep crack growth model for probabilistic life prediction of plastic pipe materials.” ASME Journal of Pressure Vessel Technology (2019).
  36. Peng Zhao**, Yongming Liu. “Separation Risk Evaluation Considering Positioning Uncertainties from the Automatic Dependent Surveillance-Broadcast (ADS-B) System”. Journal of Navigation, Vol 72, Issue 5, September 2019.
  37. Yang Yu*, Houpu Yao, and Yongming Liu. “Aircraft Dynamics Simulation using a Novel Physics-based Learning Method”, Aerospace Science and Technology, 87(2019), 254-264.
  38. Yuan M***, Liu Y, Yan D, Liu Y. Probabilistic fatigue life prediction for concrete bridges using Bayesian inference. Advances in structural engineering. 2019 Feb;22(3):765-78.
  39. Ke L***, Li C, Luo N, He J, Jiao Y, Liu Y. Enhanced comprehensive performance of bonding interface between CFRP and steel by a novel film adhesive. Composite Structures. 2019 Dec 1;229:111393.
  40. Sun, Zhe, Cheng Zhang, Pingbo Tang, Yuhao Wang*, and Yongming Liu. “Bayesian Network Modeling of Airport Runway Incursion Occurring Processes for Predictive Accident Control.” In Advances in Informatics and Computing in Civil and Construction Engineering, pp. 669-676. Springer, Cham, 2019.
  41. Chang, Qinan, Tishun Peng, and Yongming Liu, ‘Tomographic Damage Imaging Based on Inverse Acoustic Wave Propagation Using K-Space Method with Adjoint Method’, Mechanical Systems and Signal Processing, 109 (2018), 379–98
  42. Chang, Qinan, Tishun Peng, and Yongming Liu, ‘Wave Propagation Simulation in Damaged Isotropic and Anisotropic Solids Using K-Space Method’, Journal of Theoretical and Computational Acoustics, 26 (2018), 1850023
  43. Dahire, Sonam, Fraaz Tahir, Yang Jiao, and Yongming Liu, ‘Bayesian Network Inference for Probabilistic Strength Estimation of Aging Pipeline Systems’, International Journal of Pressure Vessels and Piping, 162 (2018), 30–39
  44. Liu, Yongming, and Chao Zhang**, ‘A Critical Plane-Based Model for Mixed-Mode Delamination Growth Rate Prediction under Fatigue Cyclic Loadings’, Composites Part B: Engineering, 139 (2018), 185–94
  45. Luo, Guangen***, and Yongming Liu, ‘Two Simplified Methods for Fatigue Crack Growth Prediction under Compression-Compression Cyclic Loading’, Marine Structures, 58 (2018), 367–81
  46. Venkatesan, Karthik Rajan*, and Yongming Liu, ‘Subcycle Fatigue Crack Growth Formulation under Positive and Negative Stress Ratios’, Engineering Fracture Mechanics, 189 (2018), 390–404
  47. Wang, Da***, Yang Deng, Yong-ming Liu, and Yang Liu, ‘Numerical Investigation of Temperature Gradient-Induced Thermal Stress for Steel–concrete Composite Bridge Deck in Suspension Bridges’, Journal of Central South University, 25 (2018), 185–95
  48. Wang, Da***, Yongming Liu, and Yang Liu, ‘3D Temperature Gradient Effect on a Steel–concrete Composite Deck in a Suspension Bridge with Field Monitoring Data’, Structural Control and Health Monitoring, 25 (2018), e2179
  49. Wu, Jun, Jingrui He, and Yongming Liu, ‘ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data’, ArXiv Preprint ArXiv:1804.09222, 2018
  50. Yuan, Hao, Wei Zhang, Gustavo M Castelluccio, Jeongho Kim, and Yongming Liu, ‘Microstructure-Sensitive Estimation of Small Fatigue Crack Growth in Bridge Steel Welds’, International Journal of Fatigue, 112 (2018), 183–97
  51. Yuan, Ming, Yun Liu, Donghuang Yan, and Yongming Liu, ‘Probabilistic Fatigue Life Prediction for Concrete Bridges Using Bayesian Inference’, Advances in Structural Engineering, 22 (2019), 765–78
  52. H. Wei*, Y. Liu (2017), A critical plane-energy model for multiaxial fatigue life prediction, Fatigue and Fracture of Engineering Materials and Structures, Volume 40, Issue 12, December 2017, Pages 1973–1983.
  53. Liu, Y., Venkatesan, K. R., & Zhang, W. (2017). Time-based subcycle formulation for fatigue crack growth under arbitrary random variable loadings. Engineering Fracture Mechanics, 182, 1-18.
  54. Cang, R., Xu, Y., Chen, S., Liu, Y., Jiao, Y., & Ren, M. Y. (2017). Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design. Journal of Mechanical Design, 139(7), 071404.
  55. Chen Z, Li C, Ke L, Liu Y, Lin J. Study on fatigue damages and retrofit methods of steel box girder in a suspension bridge. Tumu Gongcheng Xuebao/China Civil Engineering Journal. 2017 Mar 1;50(3):91-100.
  56. Yuan, H., Zhang, W., Kim, J., & Liu, Y. (2017). A nonlinear grain-based fatigue damage model for civil infrastructure under variable amplitude loads. International Journal of Fatigue, 104, 389-396.
  57. Bridgeman, D., Tsow, F., Xian, X., Chang, Q., Liu, Y., & Forzani, E. (2017). Thermochemical Humidity Detection in Harsh or Non-Steady Environments. Sensors, 17(6), 1196.
  58. Tahir, F., Dahire, S., & Liu, Y. (2017). Image-based creep-fatigue damage mechanism investigation of Alloy 617 at 950° C. Materials Science and Engineering: A, 679, 391-400.
  59. Tahir F*, Liu Y. A new experimental testing method for investigation of creep-dominant creep-fatigue interaction in Alloy 617 at 950° C. International Journal of Pressure Vessels and Piping. 2017 Jul 1;154:75-82.
  60. Liu, Y.***, Zhang, H., Liu, Y., Deng, Y., Jiang, N., & Lu, N. (2017). Fatigue reliability assessment for orthotropic steel deck details under traffic flow and temperature loading. Engineering Failure Analysis, 71, 179-194.
  61. Wang, L., Zhang, X., Zhang, J., Dai, L., & Liu, Y. (2017). Failure analysis of corroded PC beams under flexural load considering bond degradation. Engineering Failure Analysis, 73, 11-24.
  62. Zhang, X., Wang, L., Zhang, J., Ma, Y.***, & Liu, Y. (2017). Flexural behavior of bonded post-tensioned concrete beams under strand corrosion. Nuclear Engineering and Design, 313, 414-424.
  63. Zhang, X., Wang, L., Zhang, J., & Liu, Y. (2017). Corrosion-induced flexural behavior degradation of locally ungrouted post-tensioned concrete beams. Construction and Building Materials, 134, 7-17.
  64. Ma, Y., Guo, Z., Wang, L., Zhang, J. and Liu, Y., 2017. Effects of Stress Ratio and Banded Microstructure on Fatigue Crack Growth Behavior of HRB400 Steel Bar. Journal of Materials in Civil Engineering, 30(3), p.04017314.
  65. Yuan, M.***, Yan, D., Zhong, H., & Liu, Y. (2017). Experimental investigation of high-cycle fatigue behavior for prestressed concrete box-girders. Construction and Building Materials, 157, 424-437.
  66. Wang D***, Liu Y, Kong B, Cai CS, Liu Y. Simple Analytical Model for Vibration Frequency Calculation of Anchor Span Strand in Suspension Bridges. Journal of Engineering Mechanics. 2017 Jul 20;143(10):04017115.
  67. Chen, H.*, Xu, Y., Jiao, Y., & Liu, Y. (2016). A novel discrete computational tool for microstructure-sensitive mechanical analysis of composite materials. Materials Science and Engineering: A, 659, 234-241.
  68. H. Chen*, Y. Jiao and Y. Liu (2016). A Nonlocal Lattice Particle Model for Fracture Simulation of Anisotropic Materials. Composites Part B: Engineering, Volume 90, 1 April 2016, Pages 141–151
  69. H. Chen*, and Y. Liu (2016). A Nonlocal 3D Lattice Particle Framework for Elastic Solids. International Journal of Solids and Structures. Volume 81, 1 March 2016, Pages 411–420.
  70. Chen, H.*, & Liu, Y. (2016). Deformation and failure analyses of cross-ply laminates using a nonlocal discrete model. Composite Structures, 152, 1007-1013.
  71. Peng, T.*, & Liu, Y. (2016). 3D crack-like damage imaging using a novel inverse heat conduction framework. International Journal of Heat and Mass Transfer, 102, 426-434.
  72. Chen, H.*, Meng, L., Chen, S., Jiao, Y., & Liu, Y. (2016). Numerical investigation of microstructure effect on mechanical properties of bi-continuous and particulate reinforced composite materials. Computational Materials Science, 122, 288-294.
  73. Yang, J., He, J., Guan, X., Wang, D., Chen, H., Zhang, W.*, & Liu, Y. (2016). A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating. Mechanical Systems and Signal Processing, 78, 118-133.
  74. He, J., Zhou, Y., Guan, X., Zhang, W.*, Zhang, W., & Liu, Y. (2016). Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental Validation. Sensors, 16(8), 1290.
  75. Wang, L., Zhang, X., Zhang, J., Yi, J., & Liu, Y. (2016). Simplified model for corrosion-induced bond degradation between steel strand and concrete. Journal of Materials in Civil Engineering, 04016257.
  76. Zhang, X., Wang, L., Zhang, J., & Liu, Y. (2016). Model for Flexural Strength Calculation of Corroded RC Beams Considering Bond–Slip Behavior. Journal of Engineering Mechanics, 142(7), 04016038.
  77. Zhang, X., Wang, L., Zhang, J., & Liu, Y. (2016). Bond Degradation–Induced Incompatible Strain between Steel Bars and Concrete in Corroded RC Beams. Journal of Performance of Constructed Facilities, 30(6), 04016058.
  78. Wang, D.***, Zhang, W., Liu, Y., & Liu, Y. (2016). Strand Tension Control in Anchor Span for Suspension Bridge Using Dynamic Balance Theory. Latin American Journal of Solids and Structures, 13(10), 1838-1850.
  79. Xiang Y**, Liu Y. Equivalent Stress Transformation for Efficient Probabilistic Fatigue-Crack Growth Analysis under Variable Amplitude Loadings. Journal of Aerospace Engineering. 2015 Sep 10:04015052.
  80. Liu Y, Zhang C*, Xiang Y. A critical plane-based fracture criterion for mixed-mode delamination in composite materials. Composites Part B: Engineering. 2015 Dec 1;82:212-20.
  81. Peng, T.*, Liu, Y., Saxena, A., and Goebel, K., “In-situ fatigue life prognosis for composite laminates based on stiffness degradation,” Composite Structures, Vol. 132, 2015, pp. 155-165.
  82. Lin E*, Chen H, Liu Y. Finite element implementation of a non-local particle method for elasticity and fracture analysis. Finite Elements in Analysis and Design. 2015 Jan 31;93:1-1.
  83. H. Chen*, Y. Jiao and Y. Liu (2015). Investigating the Microstructural Effect on Elastic and Fracture Behavior of Polycrystals Using a Nonlocal Lattice Particle Model. Materials Science and Engineering: A 631, 173-180.
  84. Yang J, He J, Guan X, Wang D, Chen H, Zhang W, Liu Y. A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating. Mechanical Systems and Signal Processing. 2015 Jul 7.
  85. Ma Y, Wang L, Zhang J, Xiang Y*, Liu Y. Closure to “Bridge Remaining Strength Prediction Integrated with Bayesian Network and In Situ Load Testing” by Yafei Ma, Lei Wang, Jianren Zhang, Yibing Xiang, and Yongming Liu. Journal of Bridge Engineering. 2015 Mar 12.
  86. Xuhui Zhang, Lei Wang, Jianren Zhang, Yongming Liu. “Model for flexural strength calculation of corroded RC beams considering bond-slip behavior.” ASCE J. Eng. Mech. , 10.1061/(ASCE)EM.1943-7889.0001079 , 04016038.
  87. Wang L, Ma Y, Zhang J, Zhang X***, Liu Y. Uncertainty Quantification and Structural Reliability Estimation Considering Inspection Data Scarcity. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 2015 Mar 17;1(2):04015004.
  88. Wang Lei, Ma Yafei, Ding Wei, Zhang Jianren, Liu Yongming. “Comparative study of flexural behavior of corroded beams with different types of steel bars.” Journal of Performance of Constructed Facilities, 29.6 (2015): 10.1061/(ASCE)CF.1943-5509.0000661.
  89. Lei Wang, Xuhui Zhang, Jianren Zhang, Yafei Ma***, Yongming Liu. “Effects of stirrup and inclined bar corrosion on shear behavior of RC beams.” Construction and Building Materials. 98 (2015): 537–546
  90. H. Chen, E. Lin*, Y. Jiao and Y. Liu (2014). A Generalized 2D Non-local Lattice Spring Model for Fracture Simulation. Computational Mechanics 54(6), 1541-1558.
  91. H. Chen, E. Lin* and Y. Liu (2014). A Novel Volume-Compensated Particle Method for 2D Elasticity and Plasticity Analysis. International Journal of Solids and Structures 51(9), 1819-1833.
  92. Xiang, Y; Liu, R; Peng, T*; Liu, Y. “A Novel Subcycle Fatigue Delamination Growth Considering Stress Ratio Effect”. Composite Structures.2014. 108(0): 31-40.
  93. Peng, T., He, J., Xiang, Y.*, Liu, Y., Saxena, A., Celaya, J., and Goebel, K., Probabilistic fatigue damage prognosis of lap joint using Bayesian updating. Journal of Intelligent Material Systems and Structures, 2014. 1045389X14538328.
  94. T. Peng, A. Saxena, K. Goebel, Y. Xiang, Y. Liu, Integrated experimental and numerical investigation for fatigue damage diagnosis in composite plates. Structural Health Monitoring , 2014. vol. 13 no. 5 537-547.
  95. Ma, Y., Xiang, Y.**, Wang, L., Zhang, J., and Liu, Y. Fatigue life prediction for aging RC beams considering corrosive environments. Eng. Struct., 2014, 79: 211-221.
  96. Ma, Y., Wang, L., Zhang, J., Xiang, Y.**, and Liu, Y. Bridge remaining strength prediction integrated with Bayesian network and in situ load testing. J. Bridge Eng., 2014, 19(10): 04014037.
  97. Ma, Y., Wang, L., Zhang, J., Xiang, Y.*, Peng, T., and Liu, Y. Hybrid uncertainty quantification for probabilistic corrosion damage prediction for aging RC bridges. J. Mater. Civ. Eng., 2014, 10.1061/(ASCE)MT.1943-5533.0001096, 04014152.
  98. Yang J, Zhang W, Liu Y. Existence and insufficiency of the crack closure for fatigue crack growth analysis. International Journal of Fatigue. 2014 May 31;62:144-53.
  99. Wang Lei, Zhang Xuhui, Zhang Jianren, Ma Yafei*, Xiang Yibing, Liu Yongming. Effect of insufficient grouting and strand corrosion on flexural behavior of PC beams. Construction & Building Materials, 2014, 53: 213-224.
  100. Peng, T., Saxena, A., Goebel, K., Xiang, Y.*, Sankararaman, S., and Liu, Y., A novel Bayesian imaging method for probabilistic delamination detection of composite materials. Smart Mater. Struct., 2013. 22(12): p. 125019.
  101. J He, X Guan, T Peng*, Y Liu, A Saxena, J Celaya, and K Goebel, A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves, Smart Materials and Structures, 2013 22(10), 105007.
  102. Li, H, Xiang, Y, Wang, L, Zhang, J, Liu, Y. Uncertainty propagation in fatigue crack growth analysis using dimension reduction technique. International journal of reliability and safety. 2013 Jan 1;7(3):293-317.
  103. Ma Yafei, Zhang Jianren, Wang Lei, Liu Yongming. Probabilistic prediction with Bayesian updating for strength degradation of RC bridge beams. Structural Safety, 2013, 44: 102-109.
  104. Wang Lei, Ma Yafei, Zhang Jianren, Liu Yongming. Probabilistic analysis of corrosion of reinforcement in RC bridge considering fuzziness and randomness. Journal of Structural Engineering, 2013, 139(9): 1529-1540.
  105. Lu Z, Xu J, Wang L**, Zhang J, Liu Y. Curvilinear Fatigue Crack Growth Simulation and Validation under Constant Amplitude and Overload Loadings. Journal of Aerospace Engineering. 2013 Feb 21;28(1):04014054.
  106. Guan, X.*, R. Jha, and Y. Liu, Maximum relative entropy-based probabilistic inference in fatigue crack damage prognostics. Probabilistic Engineering Mechanics, 2012. 29(0): p. 157-166.
  107. Guan, X.*, R. Jha, and Y. Liu, An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations. Reliability Engineering & System Safety, 2012. 97(1): p. 1-13.
  108. Guan, X.*, R. Jha, and Y. Liu, Probabilistic fatigue damage prognosis using maximum entropy approach. Journal of Intelligent Manufacturing, 2012. 23(2): p. 163-171.
  109. He, J., X. Guan, and Y. Liu, Structural response reconstruction based on empirical mode decomposition in time domain. Mechanical Systems and Signal Processing, 2012. 28(0): p. 348-366.
  110. Liu, Y., Z. Lu*, and J. Xu, A simple analytical crack tip opening displacement approximation under random variable loadings. International Journal of Fracture, 2012. 173(2): p. 189-201.
  111. Zhang, W.* and Y. Liu, In situ SEM testing for crack closure investigation and virtual crack annealing model development. International Journal of Fatigue, 2012. 43(0): p. 188-196.
  112. X. Guan*, R. Jha, and Y. Liu, “Model Selection, Updating and Averaging for Probabilistic Fatigue Damage Prognosis”, Structural Safety, Volume 33, Issue 3, May 2011, Pages 242-249.
  113. Lu, Z.*, Liu, Y., Experimental investigation of random loading sequence effect on fatigue crack growth, Materials and Design, Volume 32, Issue 10, December 2011, Pages 4773–4785.
  114. Lu, Z*, Liu, Y. A comparative study between a small time scale model and the two driving force model for fatigue analysis. International Journal of Fatigue. 2012 Sep 30;42:57-70.
  115. Zhang, W.* and Liu, Y. “Plastic Zone Size Estimation under Cyclic Loadings Using In-Situ Optical Microscopy Fatigue Testing”, Fatigue & Fracture of Engineering Materials & Structures, Volume 34, Issue 9, pages 717–727, September 2011.
  116. Zhang W*, Liu Y. Investigation of incremental fatigue crack growth mechanisms using in situ SEM testing. International Journal of Fatigue. 2012 Sep 30;42:14-23.
  117. He J, Lu Z, Liu Y. New method for concurrent dynamic analysis and fatigue damage prognosis of bridges. Journal of Bridge Engineering. 2011 Aug 10;17(3):396-408.
  118. Guan, X.*, Liu, Y., Jha, R., Saxena, A., Celaya, J. and Goebel, K., “Comparison of Two Probabilistic Fatigue Damage Assessment Approaches Using Prognostic Performance Metrics”, International Journal of PHM Society. Vol 2 (1) 005, pages: 11, 2011.
  119. Xiang, Y.* and Liu, Y. Application of Inverse first-order reliability method for probabilistic fatigue life prediction. Probabilistic Engineering Mechanics, Volume 26, Issue 2, April 2011, Pages 148-156.
  120. Xiang, Y.* and Liu, Y. “Inverse first-order reliability method for probabilistic fatigue life prediction of composite laminates under multiaxial loading”, ASCE Journal of Aerospace Engineering, 24, 189 (2011); doi:10.1061/(ASCE)AS.1943-5525.0000023.
  121. Xiang Y*, Liu Y. EIFS-based crack growth fatigue life prediction of pitting-corroded test specimens. Engineering Fracture Mechanics;77(8):1314-1324.
  122. Xiang Y*, Lu Z, Liu Y. Crack growth-based fatigue life prediction using an equivalent initial flaw model. Part I: Uniaxial loading. International Journal of Fatigue;32(2):341-349.
  123. Xiang Y*, Liu Y. Mechanism modelling of shot peening effect on fatigue life prediction. Fatigue & Fracture of Engineering Materials & Structures;33(2):116-125.
  124. Lu Z, Xiang Y, Liu Y. Crack growth-based fatigue-life prediction using an equivalent initial flaw model. Part II: Multiaxial loading. International Journal of Fatigue;32(2):376-381.
  125. Zizi Lu*, Yongming Liu, Concurrent fatigue crack growth simulation using extended finite element method. Frontiers of Architecture and Civil Engineering in China. 2010(4)3: 339-347.
  126. Zizi Lu*, Yongming Liu, Small time scale fatigue crack growth analysis. International Journal of Fatigue International Journal of Fatigue. 2010, 32(8): 1306-1321.
  127. Liu, Y., Mahadevan, S., “Probabilistic fatigue life prediction using an equivalent initial flaw size distribution”, International Journal of Fatigue, Vol. 31, Issue 3, pp. 476-487, 2009.
  128. Liu, Y., Mahadevan, S., “Fatigue limit prediction of notched components using short crack growth theory and an asymptotic interpolation method”, Engineering Fracture Mechanics, Volume 76, Issue 15, pp. 2317-2331, 2009.
  129. Liu, Y., Mahadevan, S. Efficient methods for time-dependent fatigue reliability analysis. AIAA Journal, Vol. 47, Number 3, pp. 494-504, 2009.
  130. Liu, Y., Liu, L., Stratman, B., Mahadevan, S. Multiaxial fatigue reliability analysis of railroad wheels. Reliability Engineering and System Safety, Vol. 93, Issue 3, pp. 456-467, 2008.
  131. Stratman, B., Liu, Y., Mahadevan, S. “Structural Health Monitoring of Railroad Wheels Using Wheel Impact Load Detectors”. Journal of Failure Analysis and Prevention, Volume 7, Number 3, pp. 218-225, 2007.
  132. Liu, Y., Liu, L., Mahadevan, S., Analysis of subsurface fatigue crack propagation under rolling contact loading. Engineering Fracture Mechanics, Vol. 74, pp. 2659-2674, 2007.
  133. Liu, Y., Mahadevan, S., Stochastic fatigue damage modeling under variable amplitude loading. International Journal of Fatigue, Vol. 29, pp. 1149-1161, 2007.
  134. Liu, Y., Mahadevan, S., Fatigue threshold intensity factor and crack growth rate prediction under mixed-mode loading. Engineering Fracture Mechanics, Vol. 74, pp. 332-345, 2007.
  135. Liu, Y., Mahadevan, S., A unified multiaxial fatigue model for isotropic and anisotropic materials. International Journal of Fatigue, International Journal of Fatigue, pp. 347-359, Vol. 29, 2007.
  136. Liu, Y., Stratman, B., Mahadevan, S., Fatigue crack initiation life prediction of railroad wheels. International Journal of Fatigue, Vol. 28, Issue 7, pp. 747-756, 2006.
  137. Liu, Y., Mahadevan, S., Stain based multiaxial fatigue damage modeling. Fatigue & Fracture of Engineering Materials & Structures, Vol. 28, pp. 1177-1189, 2005.
  138. Liu, Y., Mahadevan, S., Multiaxial high-cycle fatigue criterion and life prediction for metals. International Journal of Fatigue, Vol. 27, Issue 27, pp. 790-800, 2005.
  139. Liu, Y., Mahadevan, S., Probabilistic fatigue life prediction of multidirectional composite laminates. Composite Structures, Vol. 69, pp. 11-19, 2005.
  140. Rebba, R., Huang, S., Liu, Y., and Mahadevan S. Statistical validation of simulation models. International Journal of Materials and Product Technology, Vol. 25, pp. 164 – 181, 2006.
  141. Liu, Y., Chen, Y.Y., Chen, Y.J. Hysteresis model of steel frame connection considering partial fracture. Journal of Tongji University (Natural Science), Vol.31, No.5, pp.525-530, 2003. (in Chinese)
  142. Liu, Y., Zhang, Y., Chen, Y.Y. Chen, Y.J. Experimental research on fracture performance in weld heat-affect Zone. Shanghai Journal of Mechanics, Vol.23, No.2, 2002. (in Chinese)
  143. Chen, Y.Y., Liu, Y., Yue, C., Earthquake response analysis of steel tube frames based on the hysteresis model of columns with axial loading change. World Information on Earthquake Engineering, Vol. 16, No.4, 2000. (in Chinese)

Book Chapters

(highlighted Liu, Y/Yongming Liu indicating the corresponding author; * indicating my current/former students; ** indicating my current/former postdoc; *** indicating my current/former visiting scholars)

  1. Liu, Y and Mahadevan, S. Probabilistic fatigue damage modeling of composite laminates, Fatigue of Composite Materials, edited by Ronald F. Gibson, 2013, ISBN: 978-1-60595-085-3
  2. Xuefei Guan, Jingjing He, Ratneshwar Jha, Yongming Liu “Structure Reliability and Response Prognostics under Uncertainty Using Bayesian Analysis and Analytical Approximations”, (pages 358-375), Diagnostics and Prognostics of Engineering Systems, Editor: Seifedine Kadry, IGI Global, 2012. ISBN: 978-1-4666-2095-7
  3. Jingjing He, Xuefei Guan, Yongming Liu, “Fatigue Damage Prognostics and Life Prediction with Dynamic Response Reconstruction Using Indirect Sensor Measurements” (pages 376-390), Diagnostics and Prognostics of Engineering Systems, Editor: Seifedine Kadry, IGI Global, 2012. ISBN: 978-1-4666-2095-7
  4. Guan, X* and Liu, Y. Bayesian Analysis for Fatigue Damage Prognostics and Remaining Life Prediction (Chp 7). In Machine Learning and Knowledge Discovery for Engineering Systems Health Management. Edited by Ashok Srivastava and Jiawei Han, Chapman and Hall/CRC Press, 2011, ISBN-13: 978-1439841785.
  5. Liu, Y. and Mahadevan, S. Fatigue life prediction of composites and composite structures. Edited by A.P. Vassilopoulos, Woodhead Publishing, July 2010. ISBN 1 84569 525 9; ISBN-13: 978 1 84569 525 5.

Edited Volume

(highlighted Liu, Y/Yongming Liu indicating the corresponding author; * indicating my current/former students; ** indicating my current/former postdoc; *** indicating my current/former visiting scholars)

  1. Walbridge, Scott, and Yongming Liu, ‘Fatigue Design, Assessment, and Retrofit of Bridges’ (American Society of Civil Engineers, 2018)
  2. Zhu, Shun-Peng, Xiancheng Zhang, Chao Jiang, Yongming Liu, and Zhiyong Huang, ‘Physics-of-Failure-Based Reliability and Life Prediction for Critical Components’ (SAGE Publications Sage UK: London, England, 2017)

Conference Proceedings and Presentations

(highlighted Liu, Y/Yongming Liu indicating the corresponding author; * indicating my current/former students; ** indicating my current/former postdoc; *** indicating my current/former visiting scholars)

  1. J. Chen* and Y. Liu, “Physics-guided machine learning for multi-factor fatigue analysis and uncertainty quantification,” in AIAA Scitech 2021 Forum, 2021, p. 1242.
  2. J. Chen* and Y. Liu, “A new framework for fatigue life prediction under random loading conditions,” in AIAA Scitech 2021 Forum, 2021, p. 1352.
  3. Y. Pang, S. Cheng, J. Hu, and Y. Liu, “Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks,” arXiv Prepr. arXiv2106.09223, 2021.
  4. Y. Wang, Y. Gao, Y. Liu, S. Ghosh, and L. Wang, “A Constrained Semi-parametric Gaussian Process Using Bayesian-Entropy Regression,” in AIAA Scitech 2021 Forum, 2021, p. 180.
  5. N. Xu* and Y. Liu, “Fractal-based Manifold Learning for Structure Health Monitoring,” in AIAA Scitech 2021 Forum, 2021, p. 1167.
  6. X. Zhao, H. Yan, and Y. Liu, “Hierarchical Tree-based Sequential Event Prediction with Application in the Aviation Accident Report,” in 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021, pp. 1925–1930.
  7. J. Chen* and Y. Liu, “Multimodality data fusion for probabilistic strength estimation of aging materials using Bayesian networks,” 2020.
  8. J. Chen* and Y. Liu, “Bayesian Information Fusion of Multmodality Nondestructive Measurements for Probabilistic Mechanical Property Estimation,” in ASME International Mechanical Engineering Congress and Exposition, 2020, vol. 84669, p. V014T14A006.
  9. J. Chen* and Y. Liu, “Uncertainty quantification of fatigue properties with sparse data using hierarchical Bayesian model,” in AIAA Scitech 2020 Forum, 2020, p. 680.
  10. Y. Gao, H. Yao, H. Wei*, and Y. Liu, “Physics-based Deep Learning for Probabilistic Fracture Analysis of Composite Materials,” in AIAA Scitech 2020 Forum, 2020, p. 1860.
  11. J. Hu*, H. Erzberger, K. Goebel, and Y. Liu, “Conflict Probability Estimation Using a Risk-Based Dynamic Anisotropic Operational Safety Bound for UAS Traffic Management,” in AIAA Scitech 2020 Forum, 2020, p. 738.
  12. J. Hu* and Y. Liu, “UAS Conflict Resolution Integrating a Risk-Based Operational Safety Bound as Airspace Reservation with Reinforcement Learning,” in AIAA Scitech 2020 Forum, 2020, p. 1372.
  13. J. Hu*, X. Yang, W. Wang, P. Wei, L. Ying, and Y. Liu, “UAS Conflict Resolution in Continuous Action Space Using Deep Reinforcement Learning,” 2020.
  14. Y. Pang* and Y. Liu, “Conditional generative adversarial networks (CGAN) for aircraft trajectory prediction considering weather effects,” in AIAA Scitech 2020 Forum, 2020, p. 1853.
  15. Y. Pang* and Y. Liu, “Probabilistic aircraft trajectory prediction considering weather uncertainties using dropout as bayesian approximate variational inference,” in AIAA Scitech 2020 Forum, 2020, p. 1413.
  16. Y. Pang, Y. Wang, and Y. Liu, “Probabilistic Aircraft Trajectory Prediction with Weather Uncertainties using Approximate Bayesian Variational Inference to Neural Networks,” in AIAA AVIATION 2020 FORUM, 2020, p. 2897.
  17. Y. Wang, P. Tang, Y. Shi, Y. Liu, and N. J. Cooke, “Predicting terminal mid-air collisions through simulator experiments of air traffic control,” in 2020 Winter Simulation Conference (WSC), 2020, pp. 2536–2548.
  18. P. Zhao** and Y. Liu, “Efficient Multiple Aircraft Conflict Resolution Using A* Algorithm and Indexing Method,” in AIAA AVIATION 2020 FORUM, 2020, p. 2918.
  19. Yuhao Wang, Yang Yu* and Houpu Yao, Yongming Liu, “Prognostics from materials to systems using physics-based learning”, PHM Asia Pacific conference, 2019, Beijing, China.
  20. Yu Y**, Liu Y. A Hybrid Learning Approach for the Simulation of Dynamics of Unmanned Aircraft Vehicle. InAIAA Aviation 2019 Forum 2019 (p. 2940).
  21. Gao Y*, Liu Y, Dutta P, Chen O, Iyer H, Yang BJ. Active Learning-based Efficient Separation Risk Assessment in National Airspace System. InAIAA Aviation 2019 Forum 2019 (p. 2942).
  22. Gao Y*, Liu Y. Adjoint Gradient-enhanced Kriging Model for Time-dependent Reliability Analysis. InAIAA Scitech 2019 Forum 2019 (p. 0441).
  23. Chen J*, Liu Y, Cooke N, Tang P. Real-time Facial Expression and Head Pose Analysis for Monitoring the Workloads of Air Traffic Controllers. InAIAA Aviation 2019 Forum 2019 (p. 3412).
  24. Pang Y, Yao H, Hu J*, Liu Y. A Recurrent Neural Network Approach for Aircraft Trajectory Prediction with Weather Features From Sherlock. InAIAA Aviation 2019 Forum 2019 (p. 3413).
  25. Zhao P**, Liu Y, Ying L, Wang W. Multiple Aircraft Collision Avoidance Method Based on ADS-B System. InAIAA Aviation 2019 Forum 2019 (p. 3417).
  26. Wang Y*, Zhe S, Liu Y, Tang P. Predicting Collisions between Aircraft through Spatiotemporal Data-Driven Simulation of Airport Ground Operations. InAIAA Aviation 2019 Forum 2019 (p. 3414).
  27. Wang Y*, Pang Y, Liu Y, Dutta P, Yang BJ. Aircraft Trajectory Prediction and Risk Assessment Using Bayesian Updating. InAIAA Aviation 2019 Forum 2019 (p. 2936).
  28. Yao H*, Ren Y, Liu Y. FEA-Net: A Deep Convolutional Neural Network With PhysicsPrior For Efficient Data Driven PDE Learning. InAIAA Scitech 2019 Forum 2019 (p. 0680).
  29. Zhao X, Yan H, Li J, Pang Y*, Liu Y. Spatio-temporal Anomaly Detection, Diagnostics, and Prediction of the Air-traffic Trajectory Deviation using the Convective Weather. InProceedings of the Annual Conference of the PHM Society 2019 Sep 22 (Vol. 11, No. 1).
  30. Pang Y, Xu N, Liu Y. Aircraft Trajectory Prediction using LSTM Neural Network with Embedded Convolutional Layer. InProceedings of the Annual Conference of the PHM Society 2019 Sep 22 (Vol. 11, No. 1).
  31. Jueming Hu*, Heinz Erzberger, Kai Goebel, and Yongming Liu. “Risk-Based Dynamic Anisotropic Operational Safety Bound for Rotary UAS Traffic Control.” In Proceedings of the Annual Conference of the PHM Society, vol. 11, no. 1. 2019.
  32. Chen J*, Liu Y. Probabilistic Aging Pipe Strength Estimation Using Multimodality Information Fusion. InProceedings of the Annual Conference of the PHM Society 2019 Sep 22 (Vol. 11, No. 1).
  33. Chen, H.*, Jiao, Y. and Liu, Y. (2019) ‘An Integrated Computational Framework for Microstructure-Sensitive Materials Modeling’, in AIAA Scitech 2019 Forum, p. 691.
  34. Gao, Y.* and Liu, Y. (2019a) ‘Adjoint Gradient-enhanced Kriging Model for Time-dependent Reliability Analysis’, in AIAA Scitech 2019 Forum, p. 441.
  35. Gao, Y.* and Liu, Y. (2019b) ‘Probabilistic Failure Analysis for ICME Using An Adjoint-based Lattice Particle Method.’, in AIAA Scitech 2019 Forum, p. 970.
  36. Wang, Y.* and Liu, Y. (2019) ‘An Adaptive Probabilistic Maintenance Framework for Decision Planning Optimization’, in AIAA Scitech 2019 Forum, p. 442.
  37. Wei, H.* and Liu, Y. (2019) ‘Simulation of elastoplastic deformation of isotropic material using a nonlocal yield criterion and Lattice Particle Model’, in AIAA Scitech 2019 Forum, p. 964.
  38. Yao, H.*, Ren, Y. and Liu, Y. (2019) ‘FEA-Net: A Deep Convolutional Neural Network With PhysicsPrior For Efficient Data Driven PDE Learning’, in AIAA Scitech 2019 Forum, p. 680.
  39. Yu, Y.*, Venkatesan, K. R. R. and Liu, Y. (2019) ‘Fatigue damage prognosis of aircraft wing structures using time-based subcycle formulation and hybrid learning’, in AIAA Scitech 2019 Forum, p. 2384.
  40. Yu, Y.*, Yao, H. and Liu, Y. (2019) ‘A Hybrid Learning Approach for the Simulation of Aircraft Dynamical Systems’, in AIAA Scitech 2019 Forum, p. 436.
  41. Zhao, P.** and Liu, Y. (2019) ‘Separation Risk Evaluation for NextGen Air Traffic Management System’, in AIAA Scitech 2019 Forum, p. 1361.
  42. Gao, Y.** and Liu, Y. (2018) ‘Adjoint-FORM for efficient reliability analysis of large-scale structural problems’, in 2018 AIAA Non-Deterministic Approaches Conference, p. 435.
  43. Liu, Y. and Goebel, K. (2018) ‘Information Fusion for National Airspace System Prognostics’, in PHM Society Conference.
  44. Wang, Y.*, Liu, Y., Sun, Z., et al. (2018) ‘A Bayesian-entropy Network for Information Fusion and Reliability Assessment of National Airspace Systems’, in PHM Society Conference.
  45. Wang, Y.*, Liu, Y., Peng, T., et al. (2018) ‘Probabilistic life prediction of plastic pipes using an equivalent crack growth model’, in 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, p. 1640.
  46. Wang, Y.* and Liu, Y. (2018) ‘A Novel Bayesian Entropy Network for Probabilistic Damage Detection and Classification’, in 2018 AIAA Non-Deterministic Approaches Conference. American Institute of Aeronautics and Astronautics (AIAA SciTech Forum). doi: doi:10.2514/6.2018-1407.
  47. Wei, H.* and Liu, Y. (2018) ‘Energy-based multiaxial fatigue damage modelling’, in 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, p. 646.
  48. Yu, Y.*, Yao, H. and Liu, Y. (2018) ‘Physics-based Learning for Aircraft Dynamics Simulation’, PHM Society Conference, 10(1), pp. 1–9.
  49. Yuan, H., Zhang, W. and Liu, Y. (2018) ‘Correction: Quantification of Time Distribution to Initial Long Crack with Reduced Order Microstructural Representation on Microstructurally Short Fatigue Crack Growth Model’, in 2018 AIAA Non-Deterministic Approaches Conference, pp. 1409-c1.
  50. Yu, Y.*, Liu, Y., Venkatesan, K., and Kurian, B.* (2018). “Concurrent fatigue crack growth and vehicle-bridge dynamics analysis using time-based subcycle formulation”, 2018 Engineering Mechanics Institute (EMI) International Conference, Shanghai, China, Nov. 2-4, 2018.
  51. Yu, Y.*, Yao, H., and Liu, Y. (2018). “Hybrid intelligence for solving complex engineering problems: an integrated human and machine learning approach”, 2018 Engineering Mechanics Institute (EMI) International Conference, Shanghai, China, Nov. 2-4, 2018.
  52. Yu, Y.*, Yao, H., and Liu, Y. (2018). “Physics-based Learning for Simulation and Prognostic of Aircraft Dynamical System”, 2018 INFORMS Annual Meeting, Phoenix, Arizona, United States, Nov. 4-7, 2018.
  53. Yu, Y.**, Liu, Y. and Cai, C.S. (2018). “Time-dependent reliability analysis of a highway bridge subject to traffic growth and material deterioration using Bayesian inference”, 2018 Engineering Mechanics Institute (EMI) Conference, Cambridge, Massachusetts, United States, May 29 – June 1, 2018.
  54. Haoyang Wei*, Yongming Liu, ‘A Nonlocal Yield Criterion for Modeling Elastoplastic Deformation in Volume-Compensated Particle Model’, presentation at the 13th World Congress on Computational Mechanics / 2nd Pan American Congress on Computational Mechanics, New York City, July 23, 2018.
  55. Wang, Yuhao*, and Yongming Liu. “Maximum Entropy method in Bayesian framework for classification and inference.” In Engineering Mechanics Institute Conference 2018. 2018
  56. Yongming Liu, and Wang, Yuhao*. ” A Hybrid Network Model for Information Fusion in National Airspace System.” In 2018 INFORMS Annual Meeting. 2018.
  57. Karthik Rajan*, Yongming Liu, Subcycle Fatigue Crack Growth Formulation under positive and negative stress ratios, International Congress of Fracture, Rhodes Island, Greece, June, 2017.
  58. Fraaz Tahir*, Yongming Liu, Creep-Fatigue Damage Investigation and Modeling of Alloy 617 at High Temperatures, International Congress of Fracture, Rhodes Island, Greece, June, 2017.
  59. Hailong Chen*, Yongming Liu, Micro/Meso Scale Fracture Modeling Using A Novel Discrete Model, , International Congress of Fracture, Rhodes Island, Greece, June, 2017.
  60. Yuan, Hao, et al. “Mesoscale Simulation of Corrosion Fatigue by An Integrated Transgranular and Intergranular Crack Growth Method.” 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 2017.
  61. Chang, Qinan*, and Yongming Liu. “A Novel Computational Method Modeling Wave propagation using K-space method and Damage Detection using Adjoint Method.” 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 2017.
  62. Dahire, Sonam*, Yongming Liu, and Yang Jiao. “Probabilistic pipe strength and toughness estimation through information fusion with Bayesian updating.” 19th AIAA Non-Deterministic Approaches Conference. 2017.
  63. Qinan Chang, Tishun Peng, Y. Liu, Simulation of Wave Propagation in Damaged Anisotropic Material Using a K-space Method. ASME-IMECE2016-67755, 2016.
  64. T. Peng*, Y. Liu, Probabilistic detection of delamination in composite laminates using Bayesian inference of Lamb wave signals, ASCE EMI and PMC 2016, Nashville, TN, 2016.
  65. Fraaz Tahir*, Y Liu, ” Creep-Fatigue Life Prediction of Alloy 617 at 950°C using an Effective Hold Time Approach ” Transactions of ANS Winter Meeting, 2016,
  66. Y. Ma, L. Wang, J. Zhang, Y. Liu, Probabilistic fatigue life assessment of reinforced concrete structures subjected to corrosion, ASCE EMI and PMC 2016, Nashville, TN, 2016.
  67. Tahir F*, Liu Y. Development of creep-dominant creep-fatigue testing for Alloy 617. In57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2016 (p. 0668).
  68. Pan D, Tahir F, Liu Y. An equivalent crack growth model for creep fatigue life prediction of metals. In57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2016 (p. 0724).
  69. Peng T*, Liu Y. 3D delamination profile reconstruction for composite laminates using inverse heat conduction. In57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2016 (p. 0724).
  70. Fraaz Tahir*, Yongming Liu, “Development of Creep-Dominant Creep-Fatigue Tests for Alloy 617.” Transactions of ANS Winter Meeting, 2015, Vol. 113, Pg. 133-144
  71. Tishun Peng* and Yongming Liu. “Probabilistic fatigue life prediction of composite laminates using Bayesian updating”, 17th AIAA Non-Deterministic Approaches Conference, AIAA SciTech, (AIAA 2015-1145).
  72. H. Chen* and Y. Liu (2015). The Effective Elastic and Fracture Properties of Particulate Reinforced Composites Using a New Non-local Particle Method. 56th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Kissimmee, FL, USA.
  73. E. Lin*, H. Chen and Y. Liu (2015). Coupling between Non-local Particle and Finite Element Methods. 56th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Kissimmee, FL, USA.
  74. Ma Yafei, Wang Lei, Zhang Jianren, Yongming Liu. “EIC-based fatigue life prediction for aging reinforced concrete beams.” IABSE Conference 2015, Structural Engineering: Providing Solutions to Global Challenges, Geneva, 2015, September 23-25.
  75. Ma Yafei, Xiang Yibing**, Wang Lei, Zhang Jianren, Liu Yongming. “Probabilistic fatigue life prediction of existing RC bridge members subjected to corrosion.” 2nd International Symposium on Life-Cycle Performance of Bridges and Structures, Changsha, 2015, December 18-20.
  76. H. Chen* and Y. Liu (2014). Static and Dynamic Fracture Simulation Using a Novel Particle Method with Multi-body Potentials. 55th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, National Harbor, MD, USA.
  77. H. Chen* and Y. Liu (2014). A Novel Volume-Compensated Particle Method (VCPM) for Elasticity and Plasticity Analysis. 55th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, National Harbor, MD, USA.
  78. T. Peng*, Y. Liu. A novel Bayesian Imaging Method for probabilistic delamination detection of composite materials. 55th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, National Harbor, MD, USA.
  79. T. Peng*, A. Saxena, K. Goebel, Y. Liu. Integrated experimental and numerical investigation for damage diagnosis in composite materials. 55th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, National Harbor, MD, USA.
  80. Tahir, F.*, Liu, Y., Wang, L., Fracture simulation of co-continuous composite materials under static loading, Society of Engineering Science 51st Annual Technical Meeting, Oct 2014
  81. H. Chen* and Y. Liu (2014). Fracture Simulation using a Non-local Particle Model. SES Annual Technical Meeting, Purdue University, West Lafayette, IN
  82. H. Chen*, Y. Jiao and Y. Liu (2014). A Unified Framework for Microstructure Evolution and Property Quantification. SES Annual Technical Meeting, Purdue University, West Lafayette, IN.
  83. Zhang Wei*，Liu Yongming，”In-situ SEM Testing for Transient Fatigue Crack Growth Behavior Investigation Subjected to a Single Tensile Overload”，Proceedings of the ASME 2014 International Mechanical Engineering Congress & Exposition, November 14-20, 2014, Montreal, Quebec, Canada
  84. T. Peng*, A. Saxena, K. Goebel, S. Sankararaman, Y. Xiang, Y. Liu, Probabilistic delamination diagnosis of composite materials using a novel Bayesian Imaging Method. 2013 Annual Conference of the Prognostics and Health Management Society, New Orleans, LA., Oct. 14 – 17, 2013.
  85. Enqiang Lin*, Hailong Chen, Yongming Liu, “atomistic simulations of fatigue crack growth in single crystal aluminum”, ASME 2013 International Mechanical Engineering Congress & Exposition, San Diego, CA.
  86. Jian Yang, Wei Zhang, Yongming Liu, “Subcycle fatigue crack growth mechanism investigation for allumnium alloys and steels”, International Conference of Fracture, 2013, Beijing, China.
  87. Jingjing He; Xuefei Guan; Yongming Liu, “Concurrent structural and material fatigue damage prognosis integrating sensor data”, AIAA SDM conference, 2013, Boston, MA.
  88. Wei Zhang*; Yongming Liu, “A time-based formulation for real-time fatigue damage prognosis under variable amplitude loadings”, AIAA SDM conference, 2013, Boston, MA.
  89. Jian Yang; Wei Zhang; Yongming Liu, “Subcycle Fatigue Crack Growth Mechanism Investigation for Aluminum Alloys and Steels”, AIAA SDM conference, 2013, Boston, MA.
  90. Wei Zhang*, Yongming Liu, “Subcycle fatigue damage mechanism investigation using In-situ SEM testing”, ASME 2012 International Mechanical Engineering Congress & Exposition, Houston, TX.
  91. X. Guan, J. He, R. Jha, Y. Liu, “Time-dependent reliability analysis using efficient Bayesian method”, 53rd Structures, Structural Dynamics, and Materials and Co-located Conferences, Honolulu, Hawaii , April, 2012.
  92. C. Zhang *, J. Xu, Z. Lu, Y. Liu,” General Fracture Criterion for Mixed-mode Delamination in Composite Materials”, 53rd Structures, Structural Dynamics, and Materials and Co-located Conferences, Honolulu, Hawaii , April, 2012.
  93. Z. Lu*, J. Xu, Y. Liu, “Experimental investigation and model analysis of uncertain loading effect on fatigue crack growth”, 53rd Structures, Structural Dynamics, and Materials and Co-located Conferences, Honolulu, Hawaii , April, 2012.
  94. H. Li*, Y. Xiang, Y. Liu, “Probabilistic fatigue life prediction using Subset Simulation”, 53rd Structures, Structural Dynamics, and Materials and Co-located Conferences, Honolulu, Hawaii , April, 2012.
  95. W. Zhang*, Y. Liu, “In-situ fatigue testing on the existence and insufficiency of the crack closure”, International Conference on Fatigue Damage of Structural Materials IX, Hyannis, MA, USA, September, 2012.
  96. Tishun peng, jingjing he, yongming liu, abhinav saxena, jose r. celaya, kai goebel, “Integrated Fatigue Damage Diagnosis and Prognosis Under Uncertainties”, Annual Conference of the Prognostics and Health Management Society 2012. ISBN: 978-1-936263-05-9
  97. Jian yang, wei zhang, yongming liu, “A Multi-Resolution Experimental Methodology for Fatigue Mechanism Verification of Physics-Based Prognostics”, Annual Conference of the Prognostics and Health Management Society 2012. ISBN: 978-1-936263-05-9
  98. Liu, Y. “Uncertainty management in prognostics”, Invited Tutorial Speaker, 2010 Annual Conference of the Prognostics and Health Management Society, Portland, OR, Oct. 10 – 16, 2010.
  99. Xiang, Y.*, Liu, Y., Optimization of Fatigue Maintenance Strategies based on Prognosis Results, Prognostics and Health Management 2011, Montreal, Canada, September, 2011.
  100. Guan, X.*, Jha, R., Liu, Y. Bayesian Fatigue Damage and Reliability Analysis using Laplace Approximation and Inverse Reliability Method, Prognostics and Health Management 2011, Montreal, Canada, September, 2011.
  101. Guan, X.*, Jha, R., Liu, Y. Probabilistic multi-model Bayesian network for fatigue damage prognosis. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, April 2011, Denver, Co.
  102. He, J.*, Liu, Y., Fatigue prognosis integrating usage monitoring system. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, April 2011, Denver, Co.
  103. Zhang, W.*, Liu, Y., In-Situ Fatigue Crack Growth Testing of Al7075-T651 under Scanning Electron Microscopy. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, April 2011, Denver, Co.
  104. Xiang, Y.*, Liu, Y., An equivalent stress level model for efficient fatigue crack growth prediction. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, April 2011, Denver, Co.
  105. Zhang, W.*, Liu, Y., Hypotheses verification of a novel multi-scale fatigue damage prognosis model, IEEE Aerospace Conference, March 2011, Big Sky, MT. 10.1109/AERO.2011.5747568.
  106. Lu, Z.*, Liu, Y., “A comparative study of small time scale fatigue crack growth model and the two parameter approach. International Conference on Fatigue Damage of Structural Materials VIII, 19-24 September 2010, Hyannis, MA.
  107. Zhang, W*. and Liu, Y., “In-Situ Optical Microscopy/SEM Fatigue Crack Growth Testing of Al7075-T6”, Aircraft Airworthiness & Sustainment 2010. 11 May–14 May. Austin, TX.
  108. Zhang, W., Lu, Z and Liu, Y., ” In-Situ Optical Microscopy Study on Plastic Zone Size Estimation of Aluminum Alloy 7075-T6 under Cyclic Loading”, Materials Science & Technology 2010. October 17-21 , Houston, Texas.
  109. Zhang, W.* and Liu, Y., “In-situ fatigue testing and imaging analysis for forward and reversed plastic zone measurements”, International Conference on Fatigue Damage of Structural Materials VIII, 19-24 September 2010, Hyannis, MA.
  110. He, J.* and Liu, Y., “Structural fatigue prognosis using limited sensor data”, 2010 Annual Conference of the Prognostics and Health Management Society, Portland, OR, Oct. 10 – 16, 2010.
  111. X. Guan*, R. Jha, and Y. Liu, “Trans-dimensional MCMC for Fatigue Prognosis Model Determination, Updating, and Averaging,” 2010 Annual Conference of the Prognostics and Health Management Society, Portland, OR Oct. 10 – 16, 2010
  112. Lu, Z.*, Liu, Y. “Concurrent fatigue crack growth simulation using XFEM and a small time scale crack growth model”, ASCE Engineering Mechanics Institute conference, 2010, LA, CA.
  113. Li, H.*, Xiang, Y., Liu, Y. “Efficient probabilistic methods for crack growth-based fatigue life prediction”, ASCE Engineering Mechanics Institute conference, 2010, LA, CA.
  114. He, J., Lu, Z. and Liu, Y., “A new method for concurrent structural fatigue damage prognosis”, International Symposium on Life-Cycle Performance of Bridges and Structures, Changsha, China, 2010.
  115. Guan, X.*, Jha, R., and Liu, Y., “Maximum entropy method for model and reliability updating using inspection data”, SDM 2010. 12 April – 16 April 2010. Orlando, FL.
  116. He, J.* and Liu, Y., “Concurrent structural prognosis under random loading”, 2010 AIAA SDM conference, Orlando, FL, 2010.
  117. Xiang, Y.* and Liu, Y., “Inverse FORM method for probabilistic fatigue prognosis”, 51th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Orlando, April, 2010.
  118. Lu, Z.* and Liu, Y., “Small time scale fatigue crack growth analysis under variable amplitude loading”, 51th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Orlando, April, 2010.
  119. Xiang, Y.* and Liu, Y., “Probabilistic fatigue crack growth prediction under variable amplitude loading”, Aircraft Airworthiness & Sustainment Conference, 2010, Austin, Texas.
  120. He, J., Lu, Z., Liu, Y., ” A New Method for Concurrent Multi-scale Fatigue Damage Prognosis”, The 7th International Workshop Structural Health Monitoring, Stanford University, CA, 2009.
  121. Guan, X.*, Liu, Y., Saxena, A., Celaya, J., Goebel, K., “Entropy-based probabilistic fatigue damage prognosis and algorithmic performance comparison”, annual conference of the prognostics and health management society, San Diego, CA, 2009.
  122. He, J.* and Liu, Y., “A state-space model for multi-scale fatigue damage prognosis”, annual conference of the prognostics and health management society, San Diego, CA, 2009.
  123. Lu, Z.* and Liu, Y., “An Incremental Crack Growth Model for Multi-Scale Fatigue Analysis”, 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Palm Springs, May, 2009.
  124. Xiang, Y.* and Liu, Y., “Probabilistic damage tolerance analysis considering shot peening”, 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Palm Springs, May, 2009.
  125. Lu, Z.* and Liu, Y., “A new formulation for multi-scale fatigue damage modeling”, Joint ASCE-ASME-SES conference on mechanics and materials, Blacksburg, VA, 2009.
  126. Xiang, Y.* and Liu, Y., “Fatigue reliability of composite laminates under multiaxial loading”, Joint ASCE-ASME-SES conference on mechanics and materials, Blacksburg, VA, 2009.
  127. Liu, Y., “Probabilistic fatigue life prediction considering short crack growth”, 12th international conference on fracture, Ottawa, Canada, 2009.
  128. Lu, Z.*, Liu, Y., “Crack growth-based multiaxial fatigue life prediction”, 12th international conference on fracture, Ottawa, Canada, 2009.
  129. Xiang, Y.*, Liu, Y., “Fatigue life prediction of corroded specimen”, 12th international conference on fracture, Ottawa, Canada, 2009.
  130. He, J., Lu, Z. and Liu, Y., “A new method for concurrent multi-scale fatigue damage prognosis”, International workshop on structural health monitoring, San Francisco, CA, September, 2009.
  131. Liu, Y., Xiang, Y.*, Shantz, C., Mahadevan, S. “A new EIFS methodology for fatigue life prediction of rotorcraft materials”,11th Aging Aircraft Conference, Phoenix, AZ, April, 2008.
  132. Liu, Y., Mahadevan, S., “An Efficient Method for Equivalent Initial Flaw Size (EIFS) Calculation”, 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Chicago, IL, 2008.
  133. Liu, Y., Mahadevan, S., “CORRELATION EFFECT OF S-N CURVES ON FATIGUE RELIABILITY ANALYSIS”, Inaugural International Conference of the Engineering Mechanics Institute (EM08), Minneapolis, Minnesota, May, 2008.
  134. Shantz, C., Liu, L., Liu, Y., Mahadevan, S., “Mixed-Mode Crack Growth Under Variable Amplitude Loading”,11th Aging Aircraft Conference, Phenix, AZ, April, 2008.
  135. Liu, L, Liu, Y., Mahadevan, S., “Mixed- Mode I+II Fatigue Crack Growth Prediction Using Local Stresses”, 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Chicago, IL, 2008.
  136. Liu, Y., Stratman, B., Liu, L., Mahadevan, S., Probabilistic fatigue life prediction of railroad wheels. SAE World Congress & Exhibition, April 16-19, 2007, Detroit, MI, USA.
  137. F. Hernandez, V. Sura, L. Liu, Y., Liu, S. Mahadevan, D. H. Stone Investigation of the Effect of Defects on Wheel Fatigue Performance Life, 15th International Wheel Set Congress, September 23-27, 2007.
  138. Liu, Y., Stratman, B., Liu, L., Mahadevan, S., Shattered rim failure analysis in railroad wheels. Proceedings of IMECE2006, ASME International Mechanical Engineering Congress and Exposition, Chicago, Illinois, USA, 2006.
  139. Liu, Y., Mahadevan, S., Mixed-mode fatigue crack threshold and growth rate prediction. International Conference on Fatigue Damage of Structural Materials VI, Hyannis, MA, USA, 2006.
  140. Liu, Y., Mahadevan, S., A Critical Plane Method for Multiaxial Fatigue Life Prediction. 9th International Congress of Fatigue, Atlanta, GA, May 2006.
  141. Liu, Y., Mahadevan, S., Uncertainty Modeling in Fatigue Life Prediction. 9th International Congress of Fatigue, Atlanta, GA, May 2006.
  142. Liu, Y., Mahadevan, S., Multiaxial High-Cycle Fatigue Life Prediction of Isotropic and Anisotropic Materials. 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference, Austin, TX, April 2005.
  143. Liu, Y., Mahadevan, S., Fatigue Damage Modeling of Composite Laminates. Proceedings of PMC’04, Albuquerque, New Mexico, USA, July 2004.
  144. Liu, Y., Mahadevan, S., Probabilistic Fatigue Damage of Composite Laminates. ASC/ASTM-D30 Joint 19thAnnual Technical Conference, Atlanta, GA, USA, October 2004.
  145. Liu, Y., Stratman, B., Mahadevan, S., Stochastic Multiaxial Damage Modeling for Metal Fatigue. 9th International Conference on Structural Safety and Reliability, Rome, Italy, June 2005.
  146. Chen, Y.Y., Liu, Y., Bian, R., Numerical Model for Partial Fracture Failure of Steel Beam-to-Column Joints. Proceedings of 13th World Conference on Earthquake Engineering, Vancouver, BC Canada, Aug 2004.
  147. Liu, Y., Chen, Y.Y., Chen, Y.J. Earthquake response of steel tube frames under multi-directional seismic shock. 9th National Conference on Structural Engineering and Engineering Mechanics, Vol. 3, pp 152~157, 2000.

Synergistic Activities

• Guest Editor, ” Integrated Design and Operation Of Engineering Systems With Predictive Modeling.” ASME Journal of Mechanical Design, 2021
• Associated Editor, ASCE Journal of Bridge Engineering, 2010 – present; responsible for the submission on fatigue, fracture, and structural reliability
• Editorial board of ASCE/ASME Journal of Risk and Uncertainty Analysis, 2013~
• Guest Editor, “Fatigue Design, Assessment, and Retrofit of Bridges.” ASCE Journal of Bridge Engineering, 2018
• Guest Editor for the Special Issue on “Physics-of-Failure based reliability and life prediction for critical components”, Advances in Mechanical Engineering, Springer, 2017.
• Editorial board of Journal of Chongqing University (English Edition); 2008~2011.
• Associate Fellow of AIAA, member of ASCE
• Vice Chair, Structures and Material Committee, ASME, 2021 (Elected)
• Student paper Chair of AIAA SciTech – NDA conference, 2015 (Elected)
• Deputy Technical Chair of AIAA SciTech – NDA conference, 2017 (Elected)
• Technical Chair of AIAA SciTech – NDA conference, 2018 (Elected)
• Scientific committee, 2016/2018 ASCE EMI & PMC
• Member of Nondeterministic Approach Technical Committee, AIAA
• Member of Probabilistic Methods committee, ASCE
• Member of advanced materials and structures committee, ASCE
• Member of SEI-ASCE Technical Council on Life-Cycle Performance, Safety, Reliability and Risk of Structural Systems.
• Conference session Chair and co-Chair: MS&T 2010, 49th ~ 51th Structures, Dynamics, and Materials Conference; 10th AIAA Non-Deterministic Approaches Conference; ASCE Engineering Mechanics 2008, ASCE.
• Proposal review for DOE, NSF, UTRC, Houston University
• Technical reviewer of many prestigious journals in engineering mechanics, including Nature Communication, International Journal of Fatigue, Reliability Engineering and System Safety, etc.
• Personnel committee, School of Engineering, Matter, and Transport, ASU, 2019-2022 (Elected)
• Chair, Personnel committee, School of Engineering, Matter, and Transport, ASU, 2020-2021 (Elected)
• University senator, ASU 2016-2021
• ASU task force group for improving the university facility services, 2015

Ira A. Fulton Schools of Engineering, Arizona State University
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