Journal Articles

#Graduate Student, $Undergraduate researcher, cCorresponding author

Note: “Ravi Kiran” is used in place of “Ravi Kiran Yellavajjala” in all publications.

J64) Afgan S, Kiran Rc and Qi X “Corrosion Mitigation Using Biobased Polyols in a Crude Oil Simulant Environment” (accepted for ASCE Journal of Materials in Civil Engineering).

J63) Hesami M.# and Kiran Rc (2025). “Starch-based hydrogel powder for enhanced dust suppression” (accepted for Cleaner Engineering and Technology).

J62) Arumugam D. #, and Kiran Rc (2025). “Trustworthy Contextual Neural Networks for Deciphering Fracture in Metals”, accepted for Fracture & Fatigue of Engineering Materials & Structures, DoI: https://doi.org/10.1111/ffe.14686.

J61) Dey S. #, and Kiran Rc (2025). “A Data-driven Geometry-specific Surrogate Model for Forecasting the Load-Displacement Behavior until Ductile Fracture”, International Journal of Fracture, Volume 249, article number 31, P. 1-32.

J60) Venkatraju A. #, Arumugam D. #, Kiran Rc and Peters T. (2024). “Automated Approaches for the Early Stage Distinguishing of Palmer Amaranth from Waterhemp”, V.6, P. 1425425, Frontiers in Agronomy, DoI: https://doi.org/10.3389/fagro.2024.1425425.

J59) Merkel G. #, Hesami M.#, and Kiran Rc. (2025) “Super Absorbent Polymers (SAPs) as Concentration Preservers in Brine Deicers for Enhanced Ice Melting Capacity”, V.6(1), Journal of Infrastructure Preservation and Resilience, DoI: https://doi.org/10.1186/s43065-024-00105-z.

J58) Afgan S. #, Kiran Rc, and Qi X., (2025). “Mitigating Corrosion Damage in Steel Employing Biobased Erythritol and Xylitol as Corrosion Inhibitions”, V.37, I.4, P. 04025047-1-14, ASCE Journal of Materials in Civil Engineering, DoI: https://doi.org/10.1061/JMCEE7.MTENG-18945.

J57) Ashutosh Maurya#., Arumugam D#., Kiran R., and Rajan S., (2024). “On Point Cloud Failure Criterion Predictions”, Journal of Composite Materials, V 58, I 27, P. 2851-2878, DoI: https://doi.org/10.1177/0021998324127096.

J56) Sajid H.U.#, and Kiran Rc. (2024). “Effect of fiber reinforcement, mineral admixtures, and air entrainment on the fire performance of concrete: A review”, Construction and Building Materials, V 430, P 136420, DoI: https://doi.org/10.1016/j.conbuildmat.2024.136420.

J55) Jalal A. #, and Kiran Rc (2024). “Sustainable Bio-based Hydrogel as an Alternative Air Entrainment Agent in Cement-Based Materials”, ASCE Journal of Materials in Civil Engineering, V. 36(11), P. 04024342-1-15, DoI: https://doi.org/10.1061/JMCEE7/MTENG-17763.

J54) Anto A.D.#, Dey S.#, and Kiran Rc (2023). “Deciphering the Fracture Initiation Mechanism in Additive Manufactured 17-4 Steel Employing Statistical Analysis of Tomography Data”, ASCE Journal of Materials in Civil Engineering, V. 26(6), P. 04024122-1-17, DoI: https://doi.org/10.1061/JMCEE7.MTENG-17445

J53) Afgan S.#, Kiran Rc, Qi X., and Bajwa D.S., (2023). “Enhancement of Corrosion Resistance and Bond Strength in Rebars Employing Abrasives-Infused Soy-Protein Isolate Coatings”, Construction and Building Materials, V. 407, DoI: https://doi.org/10.1016/j.conbuildmat.2023.133455.

J52) Dey S. #, Kiran Rc, and Ulven C. (2023). “Experimental Evaluation of Microvoid Characteristics and their Relationship with Stress and Strain for Ductile Fracture”, accepted for ASCE Journal of Materials in Civil Engineering, DoI: 10.1061/JMCEE7/MTENG-16698.

J51) Jalal A. #, and Kiran Rc (2023). “A Novel Method for Characterization of the Internal Curing Potential of Commercial and Corn Starch Hydrogels in a Cementitious Matrix”, Journal of Materials Research and Technology, V.24, P. 4336-4352, DoI: https://doi.org/10.1016/j.jmrt.2023.04.031.

J50) Yasoda R.D., Huang Y., Kiran R and Qi X. (2023). “Post-fire performance of wire arc sprayed Zn-15Al anti-corrosive coatings on structural steels”, Journal of Thermal Spray Technology, DoI: https://doi.org/10.1007/s11666-023-01577-3.

J49) Rai N., Zhang Y., Ram B.G., Schumacher L., Kiran R, Bajwa S., Sun X. (2023) “A review study on integrating deep learning techniques to address site-specific weed management in precision agriculture”, Computers and Electronics in Agriculture, V 206, P. 107698, DoI: https://doi.org/10.1016/j.compag.2023.107698.  

J47) Arumugam D. #, and Kiran Rc (2023). “Compact Representation and Identification of Important Regions of Metal Microstructures Using Complex-step Convolutional Autoencoders”, Materials and Design, V. 223, P. 111263, DoI: https://doi.org/10.1016/j.matdes.2022.111236.

J48) Arumugam D.#, and Kiran Rc (2023). “Interpretation of autoencoders employing a gradient-based approach”, Pattern Recognition, V 136, P. 109212, DoI: https://doi.org/10.1016/j.patcog.2022.109212.

J46) Venkatraju A.#, Arumugam D. #, Calvin S.$, Kiran Rc, Peters T. (2023). “A review of Machine Learning techniques for weed detection in Corn”, Smart Agricultural Technology, V.3, P. 100102-1-16, DoI: https://doi.org/10.1016/j.atech.2022.100102.

J45) Sajid H.U. #, Kiran Rc and Bajwa D.S., (2022). “Soy-protein and Corn-derived Polyol based Coatings for Corrosion Mitigation in Reinforced Concrete”, Construction and Building Materials, V 319, P. 126056, DoI: https://doi.org/10.1016/j.conbuildmat.2021.126056.

J44) Sajid H.U.#, Jalal A. #, Kiran Rc, Md. Abdullah-Al-Rahim# (2022). “A Survey on the Effects of Deicing Materials on Properties of Cement-based Materials”, Construction and Building Materials, V 319, P. 126062, DoI: https://doi.org/10.1016/j.conbuildmat.2021.126062.

J43) Rolle B.$, Kiran Rc, and Straub J., (2022) “A Pathfinding Algorithm for Lowering Infection Exposure of Health Care Personnel working in Makeshift Hospitals”, MDPI Healthcare, V 10, 344. https://doi.org/10.3390/healthcare10020344.

J42) Sajid H.U. #, Kiran Rc, and Bajwa D.S., (2021).  “Effect of agro-derived corrosion inhibitors on the properties of Portland cement mortar”, Construction and Building Materials 310 (2021): 125236, DoI: https://doi.org/10.1016/j.conbuildmat.2021.125236.

J41) Arumugam D. #, Naik D. #, Sajid H.U. #, and Kiran Rc (2021). “Relationship between Nano and Macroscale Properties of Post-fire ASTM A36 Steels”, Journal of Materials in Civil Engineering, V. 34(6), P. 04022100 -1-16. DoI: 10.1061/(ASCE)MT.1943-5533.0004218.   

J40) Naik D.#, and Kiran Rc (2021). “A Novel Sensitivity Analysis-based Method for Feature Selection”, Journal of Big Data 8, 128, DoI: https://doi.org/10.1186/s40537-021-00515-w.

J39) Naik D. #, Sajid H.U.#, Kiran Rc, and Sun R. (2022). “Hyperspectral Imaging for the Elimination of Visual Ambiguity in Corrosion Detection and Identification of Corrosion Sources”, Structural Health Monitoring, V. 21(4), P 1678-1693. DoI: https://doi.org/10.1177/14759217211041690.    

J38) Kiran Rc, and Naik D.# (2021).  “Novel Sensitivity Method for Evaluating the First Derivative of the Feed-Forward Neural Network Outputs”, Journal of Big Data, 8:88, P. 1-13, DoI: https://doi.org/10.1186/s40537‑021‑00480‑4.  

J37) Abbas T. #, Naik D. #, and Kiran Rc. (2021). “Exploring the use of polyols, corn, and beet juice for decreasing the freezing point of brine solution for deicing of pavements,” Sustainability, 13(11), 5765; https://doi.org/10.3390/su13115765.

J36) Parvez S.#, Naik D. #, Sajid H.U.#, Kiran Rc., Huang Y., Thanki N.# (2021). “Fugitive Dust Suppression in Unpaved Roads: State of the art research review”, Sustainability, V. 13, P. 2399, DoI: https://doi.org/10.3390/su13042399.

J35) Flores P., Zhang Z., Igathinathane C., Jithin M.#, Naik D.#, Stenger J., Ransom J., and Kiran R. (2021). “Distinguishing seedling volunteer corn from soybean through greenhouse color, color-infrared and fused images using machine and deep learning”, Industrial Crops and Products, V. 161, P. 113223-1-13, DoI: https://doi.org/10.1016/j.indcrop.2020.113223.

J34) Sajid H.U.# and Kiran Rc. (2021). “Improving the Wettability of Structural Steels by Employing Ionic Liquids”, Journal of Molecular Liquids, V. 324, P. 115137-1-12, DoI: https://doi.org/10.1016/j.molliq.2020.115137.

J33) Sajid H.U.#, Naik D. #, and Kiran Rc. (2020). “Improving the ice-melting capacity of traditional deicers” (in press: Construction and Building Materials), DoI: https://doi.org/10.1016/j.conbuildmat.2020.121527.

J32) Naik D. #, Sajid H.U.#, Kiran Rc, and Chen G. (2020). “Detection of corrosion in steel bridges under varying illuminations, shadows, and wetting conditions”, MDPI Metals, V. 10(11), P. 1439, DoI: https://doi.org/10.3390/met10111439.

J31) Sajid H.U.# and Kiran Rc, Qi X., Bajwa D.S., Battocchi D. (2020). “Employing corn derived products to reduce the corrosivity of pavement deicing materials”, Construction and Building Materials, V. 263, P. 120662, DoI: https://doi.org/10.1016/j.conbuildmat.2020.120662.

J30) Zhang Z., Flores J.P., Igathinathane C., Naik D. #, Kiran R. and Ransom J.K. (2020). “Wheat lodging detection from UAS imagery using machine learning algorithms”, MDPI Remote Sensing, 12, 1838. DoI: https://doi.org/10.3390/rs12111838.

J29) He P., Du Wc., Wang L., Kiran Rc, and Yang Mc. (2020). “Additive manufacturing and mechanical performance of trifurcated steel joints for architecturally exposed steel structures”, MDPI Materials, V. 13(8), P. 1901, DoI: https://doi.org/10.3390/ma13081901.

J28) Zhu Y., Kiran R., Xing J., Pan Z., and Li L.(2020). “A modified micromechanics framework to predict shear involved ductile fracture in structural steels at intermediate and low triaxialities”, Engineering Fracture Mechanics, V.225, P. 106860, DoI: https://doi.org/10.1016/j.engfracmech.2019.106860.

J27) Li Z., Kiran Rc., Fadi AF., Hector L.G., Hu J., and Bower A.(2020). “Analysis and design of a three-phase TRIP steel microstructure for enhanced fracture resistance”, International Journal of Fracture, P.1-33, DOI: https://doi.org/10.1007/s10704-019-00405-6.

J26) Sajid H.U.#, Naik D. #, and Kiran Rc. (2020). “Microstructure-mechanical property relationships for post-fire structural steels”, ASCE Journal of Materials in Civil Engineering, V. 32, I.6, P. 04020133-1-14, DoI: https://doi.org/10.1061/(ASCE)MT.1943-5533.0003190. (ASCE JMCE Editor’s choice article)

J25) Naik D. #, and Kiran Rc. (2019). “Identification and characterization of fracture in metals using machine learning based texture recognition algorithms”, Engineering Fracture Mechanics, V. 219, 106618, DoI: https://doi.org/10.1016/j.engfracmech.2019.106618.

J24) Naik D. #, Sajid H.U.#, and Kiran Rc. (2019). “Texture-based metallurgical phase identification in structural steels: a supervised machine learning approach”, Metals, (Special Issue: Advances in Structural Steel Research), V.9(5), 546, P. 1-27, DoI: https://doi.org/10.3390/met9050546.

J23) Sajid H.U.# and Kiran Rc. (2019). “Post-fire mechanical behavior of ASTM A572 steels subjected to high stress triaxialities”, Engineering Structures, V.191, P. 323-342, DoI: https://doi.org/10.1016/j.engstruct.2019.04.055.

J22) Naik D.#, Sharma A.#, Chada R.R.#, Kiran R., and Sirotiak T. (2019). “Modified pullout test for indirect characterization of natural fiber and cementitious matrix interface properties”, Construction and Building Materials, V.208, P. 381-393, DoI: https://doi.org/10.1016/j.conbuildmat.2019.03.021.

J21) Naik D. #, and Kiran Rc. (2018). “On anisotropy, strain rate and size effects in Vat photopolymerization based specimens”, Additive Manufacturing, V.23, P.181-196, DoI: https://doi.org/10.1016/j.addma.2018.08.021

J20) Sajid H.U.# and Kiran Rc. (2018). “Influence of stress concentration and cooling methods on post-fire mechanical behavior of ASTM A36 steels”, Construction and Building Materials, V. 186, P. 920-945, DoI: https://doi.org/10.1016/j.conbuildmat.2018.08.006.

J19) Zhu Y., Engelhardt M.D., and Kiran R.(2018). “Combined effects of triaxiality, Lode parameter and shear stress on void growth and coalescence”, Engineering Fracture Mechanics, V. 199, P. 410-437, https://doi.org/10.1016/j.engfracmech.2018.06.008.

J18) Sajid H.U.#, and Kiran Rc. (2018). “Influence of high stress triaxiality on mechanical strength of ASTM A36, ASTM A572 and ASTM A992 steels”, Construction and Building Materials, V. 176, P.129-134, DoI: https://doi.org/10.1016/j.conbuildmat.2018.05.018.

J17) Naik D. #, and Kiran Rc. (2018). “Data mining and equi-accident zones for US pipeline accidents”, ASCE Journal of Pipeline Systems Engineering and Practice, V. 9(4), P. 04018019-1-28, DoI: https://doi.org/10.1061/(ASCE)PS.1949-1204.0000340.

J16) Kiran Rc., and Khandelwal K. (2018). “On the application of multipoint root-solvers for improving global convergence of fracture problems”, Engineering Fracture Mechanics, V. 193, P. 77-95, DoI: https://doi.org/10.1016/j.engfracmech.2018.02.031.

J15) Sajid H.U.#, and Kiran Rc. (2018). “Influence of corrosion and surface roughness on wettability of ASTM A36 steels”, Journal of Constructional Steel Research, V.144C, P. 310-326, DoI: https://doi.org/10.1016/j.jcsr.2018.01.023.

J14) Naik D. #, and Kiran Rc. (2018). “Naive Bayes classifier, multivariate linear regression and experimental testing for classification and characterization of wheat straw”, Industrial Crops and Products, V.112, P. 434-448, DoI: https://doi.org/10.1016/j.indcrop.2017.12.034.

J13-closure) Kiran R., Li, L., and Khandelwal K. (2017). “Closure to ‘Complex perturbation method for the sensitivity analysis of nonlinear truss structures’ by Ravi Kiran, Lei Li and Kapil Khandelwal”, ASCE Journal of Structural Engineering, V. 143(12), P. 07017006-2, DoI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0001919.

J13) Kiran R., Li, L., and Khandelwal K. (2016). “A complex perturbation method for the sensitivity analysis of nonlinear truss structures”, ASCE Journal of Structural Engineering, V.143, I.1, P. 04016154-1-12, DoI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0001619.

J12) Kiran R., and Khandelwal K. (2015). “A coupled microvoid elongation and dilation based ductile fracture model for structural steels”, Engineering Fracture Mechanics, V. 145, P. 15-42, DoI: https://doi.org/10.1016/j.engfracmech.2015.06.071.

J11) Kiran R., Li L., and Khandelwal K. (2015). “Performance of cubic convergent methods for implementing nonlinear constitutive models”, Computers & Structures, V. 156, P. 83-100, DoI: https://doi.org/10.1016/j.compstruc.2015.04.011.

J10) Kiran R., and Khandelwal K. (2015). “Automated implementation of anisotropic hyperelastic constitutive models”, Computational Mechanics, V. 55, issue 1, P. 229-248, DoI: https://doi.org/10.1007/s00466-014-1094-1.  

J9) Kiran R., and Khandelwal K. (2015). “A micromechanical cyclic void growth model for ultra-low cycle fatigue”, International Journal of Fatigue, V.70, P.24-37, DoI: https://doi.org/10.1016/j.ijfatigue.2014.08.010.

J8) Kiran R., and Khandelwal K. (2014). “Triaxiality and Lode parameter dependent ductile fracture criterion”, Engineering Fracture Mechanics, V.128, P.121-138, DoI: https://doi.org/10.1016/j.engfracmech.2014.07.010.

J7) Kiran R., and Khandelwal K. (2014). “Numerically approximated Cauchy integral (NACI) for implementation of constitutive models”, Finite Elements in Analysis and Design, V. 89, P. 33-51, DoI: https://doi.org/10.1016/j.finel.2014.05.016.

J6) Kiran R., and Khandelwal K. (2014). “Complex step derivative approximation for numerical evaluation of tangent moduli”, Computers & Structures, V.140, P. 1-13, DoI: https://doi.org/10.1016/j.compstruc.2014.04.009.

J5) Kiran R., and Genesio G. (2014). “A case study on pre 1970’s constructed concrete exterior beam-column joints”, Case Studies in Structural Engineering, V.1, P. 20-25, DoI: https://doi.org/10.1016/j.csse.2014.04.002.

J4) Kiran R., and Khandelwal K. (2014). “Fast-to-compute weakly coupled ductile fracture model for structural steels”, ASCE Journal of Structural Engineering, V. 140(6), P. 04014018, DoI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0001025.

J3) Kiran R., and Khandelwal K. (2014). “Gurson model parameters for ductile fracture simulation in ASTM A992 steels”, Fatigue & Fracture of Engineering Materials & Structures, V. 37(2), P. 171-183, DoI: https://doi.org/10.1111/ffe.12097.

J2) Kiran R., and Khandelwal K. (2013). “Experimental studies and models for ductile fracture in ASTM A992 steels at high triaxiality”, ASCE Journal of Structural Engineering, V. 140(2), P. 1-11, DoI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0000828.

J1) Kiran R., and Khandelwal K. (2013). “A micromechanical model for ductile fracture prediction in ASTM A992 steels”, Engineering Fracture Mechanics, V. 102, P. 101-117, DoI: https://doi.org/10.1016/j.engfracmech.2013.02.021.