Publications and Conference Papers

INSTITUTE FOR PREDICTIVE PERFORMANCE METHODOLOGIES

2025

  • Kothari, T., Liu, X., Kobir, M., Yang, Y., and Tao, F., 2025, Design and analysis of reinforced I-beam body-centered cubic lattices for enhanced energy absorption, Composite Structures, 355, 118841.
  • Liu, B., Costa, S., Liu, X., Wilhelmsson, D., and Jia, X., 2025, Convolutional neural network for predicting mechanical behavior of composites with fiber waviness, Composites part A: Applied Science and Manufacturing, 188, 108574.

2024

  • Liu, B., Costa, S., Liu, X., Wilhelmsson, D., and Jia, X., 2024, Convolutional neural network for predicting mechanical behavior of composites with fiber waviness, Composites part A: Applied Science and Manufacturing, published online.
  • Kothari, T. and Liu, X., 2024. Experiment and Simulation Study of Compression Behaviors of Beam and Honeycomb Lattices. In Proceedings of the American Society for Composites—39th Technical Conference, 10/21-10/24, San Diego, CA.
  • Liu, B. and Liu, X., 2024. Benchmark Machine Learning Models in Design Optimization of Tow-steered Composite Structures. In Proceedings of the American Society for Composites—39th Technical Conference, 10/21-10/24, San Diego, CA.
  • Liu, X., Kothari, T., Tao, F., Kobir, M.H. and Yang, Y., 2024. Multiscale modeling of quasi-static crushing behavior of body-centered cubic lattices with I-shape beams and reinforced joints. In AIAA SCITECH 2024 Forum (p. 2290).
  • Tian, S., Kothari, T., Liu, X. and Yu, W., 2024. A Multiscale Thermomechanical Design Tool for Tailorable Composites and Hybrid Material Systems. In AIAA SCITECH 2024 Forum (p. 1883).
  • Liu, X., Liu, B., Tian, S. and Yu, W., 2024. Analysis of Tow-steered Laminates of Composites Using a Mixed-fidelity Neural Network Model. In AIAA SCITECH 2024 Forum (p. 0266).

2023

  • Rabby, M. M., Das, P. P., Rahman, M., Vadlamudi, V., & Raihan, R. Fast and accurate prediction of cure quality and mechanical performance in fiber‐reinforced polymer composite using dielectric variables and machine learning. Polymer Composites (November, 2023).
  • Rahman, M., Rahman, T., Rafa, R. R., Deb, S., Raihan, R. (2023, October). “Workforce Development for Composite Manufacturing Based on Immersive Technology.” CAMX 2023 Proceedings.
  • Rahman, Minhazur, Monjur Morshed Rabby, Vamsee Vadlamudi, and Rassel Raihan. “A multi-parameter approach to predicting adhesive bond strength in carbon fiber reinforced composites through surface and dielectric characterization.” International Journal of Adhesion and Adhesives (October, 2023): 103531.
  • Rahman, M.,Vadlamudi, V., & Raihan, R. (September, 2023). Relaxation Behaviors of Adhesive Bonded Carbon Fiber Reinforced Composites Using Dielectric Relaxation Spectroscopy and Thermally Stimulated Depolarization Current. Proceedings of The American Society for Composites-Thirty-eighth Technical Conference.
  • Rabby, Monjur Morshed, Minhazur Rahman, Partha Pratim Das, Vamsee Vadlamudi, and Rassel Raihan. “Carbon Fibers Recycling from Degraded Prepregs and Mechanical Properties or Recycled Composite.” Society of the Advancement of Material and Process Engineering. SAMPE Conference Proceedings. Seattle, WA, April 17-20, 2023, 2023.
  • Das, P. P., Elenchezhian, M., Vadlamudi, V., & Raihan, R. (January, 2023). Artificial Intelligence Assisted Residual Strength and Life Prediction of Fiber Reinforced Polymer Composites. In AIAA SCITECH 2023 Forum (p. 0773)., 14(20), 4403.
  • Liu, X., Kobir, M., Yang, Y., Jiang, F. and Kothari, T., 2023, Improving stiffness and strength of body-centered cubic metamaterials with a I-shape beam cross-section, Mechanics of Materials, p. 104665.
  • Liu, X., Zhou, X., Liu, B., and Gao, C., 2023, Multiscale modeling of plain woven composites by deep learning neural networks and its application in design optimization, Composites Structures, 324, p. 117553.
  • Kobir, M., Liu, X., and Yang, Y., 2023, Additive manufacturing of body-centered cubic metamaterials with novel I-shaped beam lattice towards enhanced mechanical properties, Manufacturing Letter, 35, 509-515.
  • Ye, Z., Liu, X., Peng, B., and Kan, C., 2024, Predicting Mechanical Behavior of Additively Manufactured Mechanical Metamaterials using Point Cloud Representation Learning, Journal of Computing and Information Science in Engineering, 24, 060901-1.
  • Liu, X., Liu, B., Kothari, T., Tian, S., Long, Y., Leone, F. and Yu, W., 2023. An Integrated Design Tool for Tow-steering Composites in Abaqus and MSC. Patran/Nastran. In AIAA SCITECH 2023 Forum (p. 2594).
  • Tian, S., Long, Y., Liu, X., Leone, F.A. and Yu, W., 2023. A New MSG-based Design Framework for Tow-steered Composites. In AIAA SCITECH 2023 Forum (p. 0582).

2022

  • Veysel Erel, Pavan Nuthi, Yixin Gu, Himanshu Purandare, Nischita Haldipurkar, Muthu B. J. Wijesundara (2022). “Numerical Modeling of Air Cell Cushion and Estimation of Shear Force Distribution at Sitting Interface.” Polymers14-04403.
  • Das, P. P., Rabby, M. M., Vadlamudi, V., & Raihan, R. (2022). “Moisture Content Prediction in Polymer Composites Using Machine Learning Techniques.” Polymers, 14(20), 4403. Polymers
  • Qhobosheane, R. G., Rabby, M. M., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2022). “Smart Self-Sensing Piezoresistive Composite Materials for Structural Health Monitoring.” Ceramics, 5(3), 253-268.
  • Das, P. P., Vadlamudi, V., & Raihan, R. (2022). “Dielectric State Variables as Qualitative Indicators of Moisture Absorption-caused Mechanical Property Degradation in GFRP Composite Structures.” Composites Part C: Open Access, 100295.
  • Rahman, M., Vadlamudi, V., & Raihan, R. (2022). “Mechanical and Dielectric Modeling of Adhesive Bonded Fiber Reinforced Composite Single Lap Joints.” Proceedings of The American Society for Composites-Thirty-seventh Technical Conference.
  • Rabby, M. M., Vadlamudi, V., & Raihan, R. (2022). “A Data-Driven Mechanical Property Prediction in Epoxy/Glass Fiber Composite.” Proceedings of The American Society for Composites-Thirty-seventh Technical Conference.
  • Das, P. P., Rabby, M. M., Vadlamudi, V., & Raihan, R. (2022). “Dielectric Analysis to Predict Moisture Absorption in Structural Composites: A Data-Driven Approach.” Proceedings of The American Society for Composites-Thirty-seventh Technical Conference.
  • Rabby, M. M., Das, P. P., Rahman, M., Vadlamudi, V., & Raihan, R. (2022). “The Effect of Plasma Treatment on The Cure Behavior of Out-of-Life Prepregs and An Investigation of The Mechanical Properties of Composite Parts Manufactured from Plasma-Treated Prepregs.” Society of the Advancement of Material and Process Engineering. SAMPE Conference Proceedings. Charlotte, NC, May 23-26, 2022.
  • Das, P. P., Rabby, M. M., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2022). “Coupled Effects in Dielectric and Thermal Properties of Polymer Matrix Composite Structures Due to Moisture Absorption.” Society of the Advancement of Material and Process Engineering. SAMPE Conference Proceedings. Charlotte, NC, May 23-26, 2022″.
  • Rahman, M., Qhobosheane, R. G., Vadlamudi, V., & Raihan, R. (2022). “Effects of Different Surface Characteristics on the Fracto-emission of Carbon Fiber Reinforced Composite Adhesive Bond Failures.” Society of the Advancement of Material and Process Engineering. SAMPE Conference Proceedings. Charlotte, NC, May 23-26, 2022.
  • Adluru, H.K., Zhou, E., Popelar, C., Ballard, M.K., Mollenhauer, D., Riha, D., Selvarathinam, A.S., Iarve, E.V. (2022) “Performance Prediction of Interlock Woven Composites by Independent Mesh Method”, Composites Part A: Applied Science and Technology, https://doi.org/10.1016/j.compositesa.2022.107317
  • W-T Lu, Z Gao, HK Adluru, KH Hoos, WP Seneviratne, DH Mollenhauer, EV Iarve, (2022) “Fatigue damage modeling in laminated composites by using Rx-FEM and strength tracking method, Composites: Part A,” Applied Science and Manufacturing, 163 (107199)
  • M Kirby, KH Hoos, DS Riha, EV Iarve, ML Stanfield, MK Ballard, “Probabilistic Sensitivity Studies of Homogenized Elastic Properties Predicted Using 3D Textile Mesoscale Models,” AIAA SciTech 2022 Forum, paper 2279
  • A Harman, LJ Webb, KH Hoos, EV Iarve, D Mollenhauer, “Enhanced failure prediction of single-lap countersunk fastened composite joints in bearing using discrete damage modelling,” AIAA SciTech 2022 Forum, paper 2149
  • KH Hoos, MK Ballard, HK Adluru, EV Iarve, E Zhou, D Mollenhauer, “Determination of Effective Elastic Properties of Realistic 3D Textile Mesoscale Models Using Periodic Cluster Method,” AIAA SciTech 2022 Forum, paper 2278
  • YJ Liang, Z Gao, EV Iarve, “An Implementation of Regularized Extended Finite Element Method in Abaqus/Explicit,” SciTech 2022 Forum, paper 2282
  • V Goayal, KH Hoos, WT Lu, J Action, (2022), “Progressive Damage Predictions of Composite Subelements Using Discrete Damage Modeling,” AIAA SciTech 2022 Forum, paper 0107
  • MK Ballard, EV Iarve, J Whitcomb, D Mollenhauer, O Shor, D Rittel (2022), “An Extended Critical Failure Volume Method for Strength Prediction in 3D Woven Textile Composites,” AIAA SciTech 2022 Forum, paper 2597
  • Z Gao, HK Adluru, W-T Lu, KH Hoos, EV Iarve (2022), “Two-way Global Local Coupled Failure Modeling with Rx-FEM, Proceedings of The American Society for Composites-Thirty-Seventh Technical Conference,” Tucson, AZ, Sept, 19-21, 2022
  • MK Ballard, EV Iarve, J Whitcomb, V Sankar, H Sundar, Remaining Challenges in the “Application of High-Performance Computing to a Process-to-Performance Pipeline for Textile Composites,” Proceedings of The American Society for Composites-Thirty-Seventh Technical Conference, Tucson, AZ, Sept, 19-21, 2022
  • Liu, X., Kan, C. and Ye, Z., 2022. Real-time multiscale prediction of structural performance in material extrusion additive manufacturing, Additive Manufacturing, 49, p.102503.
  • Tao, F., Liu, X., Du, H and Yu, W. 2022, FE coupled positive definite deep neural networks mechanics system for constitutive modeling of composites, Computer Methods in Applied Mechanics and Engineering, 391, p. 114548.
  • Yang, Y., Kan, C. and Liu, X., 2022 Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials, Journal of Manufacturing Systems, 65, p. 591-604.
  • Yang, Y., Kan, C. and Liu, X., 2022 Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials, Journal of Manufacturing Systems, 65, p. 591-604.
  • Yang, Y., Kan, C. and Liu, X., 2022 Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials, Journal of Manufacturing Systems, 65, p. 591-604.
  • Tao, F., Liu, X., Du, H., Tian, S. and Yu, W., 2022. Discover failure criteria of composites from experimental data by sparse regression. Composites Part B: Engineering, 239, p.109947.
  • Yang, Y., Kan, C. and Liu, X., 2022 Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials, Journal of Manufacturing Systems, 65, p. 591-604.
  • Kobir, M.H., Liu, X., Yang, Y. and Jiang, F., 2022, June. Additive Manufacturing of Novel Beam Lattice Metamaterials With Hollow Cross-Sections Towards High Stiffness/Strength-to-Weight Ratio. In International Manufacturing Science and Engineering Conference (Vol. 85802, p. V001T01A027). American Society of Mechanical Engineers.
  • Liu, X., Costa, S., Liu, B. and Trehan, S., 2022. Convolutional Neural Network for Predicting Mechanical Behavior of Composites with Fiber Waviness. In Proceedings of the American Society for Composites—Thirty-Seventh Technical Conference.
  • Liu, X., Kan, C. and Ye, Z., 2022. In-process multiscale performance evaluation of FDM-based honeycomb structures with geometric defects. In AIAA Scitech 2022 Forum (p. 1425).

2021

  • Elenchezhian, M. R. P., Das, P. P., Rahman, M., Vadlamudi, V., Raihan, R., & Reifsnider, K. (2021). “Stiffness degradation in fatigue life of composites using dielectric state variables.” Composite Structures, 273, 114272.
  • Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., Reifsnider, K., & Reifsnider, E. (2021). “Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties–a review.” Smart Materials and Structures.
  • Das, P. P., Elenchezhian, M. R. P., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2021). “RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications.” SoftwareX, 13, 100645.
  • Rabby, M. M., Rahman, M., Das, P. P., Elenchezhian, M. R. P., Qhobosheane, R. G., Vadlamudi, V., Reifsnider, K. & Raihan, R. (2021). “The Effect of Room-Temperature Aging on Enthalpy and Dielectric Property of Carbon-Fiber/Epoxy Composite Prepreg and the Mechanical Property of Manufactured Composite.” SAMPE neXus Proceedings, 2021.
  • Qhobosheane, R. G., Rabby, M. M., Durham, B., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2021). “A Study of the Mechanical Performance of a Composites Embedded with Nano-Particles.” SAMPE neXus Proceedings, 2021.
  • Durham,B., Mahroumi, M.K., Vadlamudi, V., Raihan, R., Reifsnider, K., Rahman, M., Rabby, M. M., Das, P. P. & Elenchezhian, M. R. P., (2021, October). “Damage Assessment of Glass Fiber Composites using Dielectric Spectroscopy and Thermally Stimulated Depolarization Current.” CAMX 2021 Proceedings.
  • Kola, G., Rahman, M., Vadlamudi, V., Raihan, R., & Reifsnider, K. (2021, October). “Effects of Surface Heterogeneity on Work of Adhesion of Carbon Fiber Reinforced Composites.” CAMX 2021 Proceedings.
  • Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., & Reifsnider, K. (2021, September). “Data-Driven Discovery of Material States in Composites Under Fatigue Loads.” Proceedings of the American Society for Composites—Thirty-sixth Technical Conference.
  • Rahman, M., Kola, G., Rabby, M. M., Elenchezhian, M. R. P., Qhobosheane, R. G., Vadlamudi, V., Reifsnider, K. & Raihan, R., (2021, September). “Effects of Surface Characteristics on Mechanical and Dielectric Properties of Adhesively Bonded Carbon Fiber Composites.” Proceedings of the American Society for Composites—Thirty-sixth Technical Conference.
  • Qhobosheane, R. G., Elenchezhian, M. R. P., Vadlamudi, V., Reifsnider, K. & Raihan, R., (2021, September). “Ordinary Differential Equations with Machine Learning for Prediction of Smart Composite Fracture Toughness.” Proceedings of the American Society for Composites—Thirty-sixth Technical Conference.
  • Yang, Y., Kan, C. and Liu, X., 2022 Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials, Journal of Manufacturing Systems, 65, p. 591-604.
  • Liu, X., Peng, B. and Yu, W., 2021. Multiscale modeling of the effective thermal conductivity of 2D woven composites by mechanics of structure genome and neural networks. International Journal of Heat and Mass Transfer, 179, p.121673.
  • Liu, X., Tian, S., Tao, F. and Yu, W., 2021. A review of artificial neural networks in the constitutive modeling of composite materials. Composites Part B: Engineering, p.109152.
  • Liu, X., Peng, B. and Yu, W., 2021. Multiscale modeling of the effective thermal conductivity of 2D woven composites by mechanics of structure genome and neural networks. In Proceedings of the American Society for Composites—36th Technical Conference.
  • Tao, F., Liu, X., Du, H. and Yu, W., 2021. Discovering Failure Criteria of Composites by Sparse Identification and Compressed Sensing, In Proceedings of the American Society for Composites—36th Technical Conference.
  • Liu, X., Tian, S., Tao, F., Du, H. and Yu, W., 2021. Machine learning-assisted modeling of composite materials and structures: a review. In AIAA Scitech 2021 Forum (p. 2023).
  • Tao, F., Liu, X., Du, H. and Yu, W., 2021. Learning damage constitutive law of composites via lamination theory enhanced Abaqus-PDNN mechanics system. In AIAA Scitech 2021 Forum (p. 2022).

2020

  • Qhobosheane, R. G., Elenchezhian, M. R. P., Das, P. P., Rahman, M., Rabby, M. M., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2020). “Smart Self-Sensing Composite: Piezoelectric and Magnetostrictive FEA Modeling and Experimental Characterization Using Wireless Detection Systems.” Sensors, 20(23), 6906.
  • Vadlamudi, V., Elenchezhian, M. R. P., Das, P. P., Raihan, R., & Reifsnider, K. (2020, September). “Assessment of Material State for Predicting the Durability of Composites.” Proceedings of the American Society for Composites—Thirty-fifth Technical Conference.
  • Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., & Reifsnider, K. (2020, September). “Unsupervised Learning Methods for Identification of Defects in Heterogeneous Materials.” Proceedings of the American Society for Composites—Thirty-fifth Technical Conference.
  • Mazed, R. J., Elenchezhian, M. R. P., Vadlamudi, V., Ahmed, M. R. U., Raihan, R., & Reifsnider, K. (2020). “Performance Enhancement and Prediction of Composite Materials with Embedded Electrospun Piezoelectric Sensors.” SAMPE Virtual Conference Proceedings, 2020.
  • Brinkman, K. S., Grote, R., Reifsnider, K. L., Cao, Y., Raihan, R., & Vadlamudi, V. (2020). “Durability of composite materials for nuclear energy systems.” In Durability of Composite Systems (pp. 313-340). Woodhead Publishing.
  • Raihan, R., Elenchezhian, M. R. P., & Vadlamudi, V. (2020). “Durability of bonded composite systems.” In Durability of Composite Systems (pp. 383-401). Woodhead Publishing.

2019

  • Elenchezhian, M. R. P., Vadlamudi, V., Md Raihan, R., & Reifsnider, K. (2019). “Damage Precursor Identification in Composite Laminates using Data Driven Approach”. In AIAA Scitech 2019 Forum (p. 0401). https://arc.aiaa.org/doi/abs/10.2514/6.2019-0401

2018

  • Elenchezhian, M., Vadlamudi, V., Raihan, R., Reifsnider, K., “Data Driven Composites:  The Challenge and Path Forward”, Proceedings of CAMX 2018 http://hdl.handle.net/10106/27613
  • Reifsnider, K., Raihan, R., Vadlamudi,V., Elenchezhian, M., “State Variable Methods of Assessment, Prognosis and Control of Composite and Bonded Structures” , Proceedings of ASC 2018 http://hdl.handle.net/10106/27611
  • Vadlamudi, V., Elenchezhian, M., Shaik, R., Raihan, R., Reifsnider, K., “Global Prediction of Discrete Local Damage Interactions Using Broadband Dielectric Spectroscopy”,  Proceedings of ASC 2018  http://hdl.handle.net/10106/27610
  • Chahal, R., Adnan, A., Reifsnider, K., Raihan R., Wu, Y.T., Vadlamudi, V., Elenchezhian, M., “Molecular Dynamics for the Prediction of the Interfacial Shear Stress and Interface Dielectric Properties of Carbon Fiber Epoxy Composites”, Proceedings of ASC 2018 http://hdl.handle.net/10106/27609
  • Isaac, B., Taylor, R., Reifsnider, K., Raihan, R., Adnan, A., “Variability of Mechanical and  Dielectric Properties in Testing  Electrospun PAN Nanofiber  Mat”, Proceedings of ASC 2018 http://www.dpi-proceedings.com/index.php/asc33/article/view/26059
  • Munaganuru, S., Elenchezhian, M., Vadlamudi, V., Shaik, R., Adluru, H., Raihan, R., Reifsnider, K., “Effects of Build Parameters on the Mechanical and Di-Electrical Properties of AM parts” – Proceedings of the 29th Annual International 2018 Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference http://hdl.handle.net/10106/27612
  • Elenchezhian, M., Raihan R., Reifsnider, K., “The role of uncertainty in machine learning as an element of control for material systems and structures” Proceedings of the ASME 2018 Pressure Vessels and Piping Conference PVP2018 http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2712068
  • Patel K., Riaz M., Rabbi F., Raihan R., Reifsnider K. (2018) Morphological Study of Dispersion Phases in Heterogeneous Waste Form Materials for Efficient Nuclear Waste Containment. In: & Materials Society T. (eds) TMS 2018 147th Annual Meeting & Exhibition Supplemental Proceedings. TMS 2018. The Minerals, Metals & Materials Series. Springer, Cham https://link.springer.com/chapter/10.1007/978-3-319-72526-0_38
  • Elenchezhian, M., Nandini, A., Vadlamudi, V., Raihan, R., Reifsnider, K., “Detection and Prediction of Defects in Composite materials using Di-Electric Characterization and Neural Networks”, Proceedings of SAMPE 2018 http://hdl.handle.net/10106/27498
  • Nandini, A., Elenchezhian, M.,  Vadlamudi, V., Raihan, R., Reifsnider, K., “Dielectric Property Investigation of Degraded Pre-preg and Performance Prediction of the final composite part”, SAMPE 2018 –Proceedings of SAMPE 2018 http://hdl.handle.net/10106/27499

2017

  • Vadlamudi, V., Raihan, R. and Reifsnider, K., 2017. Multiphysics Based Simulation of Damage Progression in Composites. Materials Sciences and Applications, 8(05), p.389. http://file.scirp.org/pdf/MSA_2017052514563931.pdf
  • Reifsnider, K., Rabbi, F., Vadlamudi, V. et al. J Mater Sci (2017) 52: 4796. https://doi.org/10.1007/s10853-017-0791-5
  • Elenchezhian, M., Vadlamudi, V., Banerjee, P., Dave, C., Mahmood, A., Raihan, R.,   Reifsnider, K., “Quality Assessment of Adhesive Bond Based on Dielectric Properties”, Proceedings of SAMPE (2017), Seattle http://hdl.handle.net/10106/27245
  • Vadlamudi, V., Raihan, R., Elenchezhian, M., Banerjee, P., Dave, C., Mahmood, A.,  Reifsnider, K., “Study of Defect Coalescence in Heterogeneous Material Systems using Broad Band Dielectric Spectroscopy”, Proceedings of the American Society for Composites—Thirty-second Technical Conference   http://hdl.handle.net/10106/27290
  • Banerjee, P., Elenchezhian, M., Shute, N., Vadlamudi, V., Raihan, R., Reifsnider, K., “Predicting the Adhesive Bond Performance Based on Initial Dielectric Properties”, Proceedings of the American Society for Composites—Thirty-second Technical Conference http://hdl.handle.net/10106/27289
  • ISAAC, B., TAYLOR, R., ADNAN, A. and RAIHAN, R., 2017. Electrospinning Approach for the Improvement of Mechanical and Shielding Properties of Nanofiber Mats. In Proceedings of the American Society for Composites—Thirty-second Technical Conference.
    http://www.dpi-proceedings.com/index.php/asc32/article/view/15335

2016

2013

  • Liu, Qianlong and Reifsnider, Kenneth L., “Heterogeneous mixtures of elliptical particles: Directly resolving local and global properties and responses,”Journal of Computational Physics, 235, 2013, pp. 161-181
  • Reifsnider, Kenneth L., Raihan, R. and Liu, Q., “Rational durability design of heterogeneous functional materials: Some first principles,” Mechanics of Composite Materials, 49, No. 1, 2013, pp. 21-34

2009

  • Xing, Liqun, Reifsnider, Kenneth L. and Huang, Xinyu, “Progressive damage modeling for large deformation loading of composite structures,” Composites Science and Technology, 69, No. 6, 2009, pp. 780-784

2008

  • Fazzino, Paul and Reifsnider, Kenneth L. “Electrochemical Impedance Spectroscopy Detection of Damage in Out of Plane Fatigued Fiber Reinforced Composite Materials, Applied Composite Materials,” 15, No. 3, 2008, pp. 127-138
  • Ju, Gang, Reifsnider, Kenneth L. and Huang, Xinyu, “Infrared Thermography and Thermoelectrical Study of a Solid Oxide Fuel Cell,” Journal of Fuel Cell Science and Technology (Transactions of the ASME), 5, No. 3, 2008, pp. 031006 (6 pp)

2006

  • Reifsnider, Kenneth L., Tamuzs, Vitauts and Ogihara, Shinji, “On nonlinear behavior in brittle heterogeneous materials,” Composites Science and Technology, 66, No. 14, 2006, pp. 2473-2478
  • Huang, Xinyu, Solasi, Roham, Zou, Yue, Feshler, Matthew, Reifsnider, Kenneth L., Condit, David, Burlatsky, Sergei and Madden, Thomas, “Mechanical endurance of polymer electrolyte membrane and PEM fuel cell durability,” Journal of Polymer Science, Part B, Polymer Physics, 44, No. 16, 2006, pp. 2346-2357
  • Reifsnider, Kenneth L., Huang, Xinyu, Ju, G. and Solasi, R., “Multi-scale modeling approaches for functional nano-composite materials,” Journal of Materials Science, 41, No. 20, 2006, pp. 6751-6759

2005

  • An, Ke, Halverson, Howard G, Reifsnider, Kenneth L., Case, S. W. and McCord, Marshall H., “Comparison of Methodologies for Determination of Fracture Strength of 8 mol Yttria-Stabilized Zirconia Electrolyte Materials,” Journal of Fuel Cell Science and Technology (Transactions of the ASME), 2, No. 2, 2005, pp. 99-103
  • Reifsnider, Kenneth L., Huang, Xinyu, Solasi, Roham and Feshler, Matthew, “ENGINEERING DESIGN OF ELASTOMERIC COMPONENTS,” Rubber Expo 05: 168th Technical Meeting of the American Chemical Society, Rubber Division 2005; Pittsburgh, PA; USA; 1-3 Nov. 2005 2005
  • Reifsnider, Kenneth L., Huang, Xinyu, Ju, G., Feshler, M. and An, K., “MECHANICS OF COMPOSITE MATERIALS IN FUEL CELL SYSTEMS,” Mechanics of Composite Materials (Latvia), 41, No. 1, 2005, pp. 1-8

2001

  • South, J. T, Reifsnider, Kenneth L. and Case, S. W., “Strain rate and temperature effects on the mechanical properties of an E-glass/vinyl ester composite system,” ASTM Journal of Composites Technology & Research (USA), 23, No. 3, 2001, pp. 189-196
  • Mahieux, C. A, Reifsnider, Kenneth L. and Case, S. W., “Property modeling across transition temperatures in PMC’s: Part I. Tensile properties,” Applied Composite Materials (Netherlands), 8, No. 4, 2001, pp. 217-234

2000

  • Reifsnider, Kenneth L., Case, S. W. and Duthoit, J., “The mechanics of composite strength evolution,” Composites Science and Technology (UK), 60, No. 12-13, 2000, pp. 2539-2546
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