Publications

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JOURNAL PUBLICATIONS

30. Du, X., Xu, H., Zhu, F., “A Data Mining Method for Structure Design with Uncertainty in Design Variables”, Computers and Structures, accepted
29. Xu, H., Usseglio-Viretta, F., Kench, S., Cooper, S., Finegan, D., “Microstructure Reconstruction of Battery Polymer Separators by Fusing 2D and 3D Image Data for Transport Property Analysis”, Journal of Power Sources, 480 (2020): 229101.
28. Tang, H., Chen, Z., Xu, H., Liu, Z., Sun, Q., Zhou, G., Yan, W., Han, W., Su, X., “Computational Micromechanics Model based Failure Criteria for Chopped Carbon Fiber Sheet Molding Compound Composites”, Composites Science and Technology, 200 (2020): 108400
27. Pan, Z., Zhu, J., Xu, H., Sedlatschek, T., Zhang, X., Li, W., Gao, T., Xia, Y., Wierzbicki, T., “Microstructural deformation patterns of a highly orthotropic polypropylene separator of lithium-ion batteries: Mechanism, model, and theory”, Extreme Mechanics Letters, 37 (2020): 100705
26. Xu, H., “Constructing Oscillating Function-based Covariance Matrix to allow Negative Correlations in Gaussian Random Field Models for Uncertainty Quantification”, Journal of Mechanical Design, 142, no.7 (2020).
25. Liu, Z., Xu, H., Zhu, P., “An adaptive multi-fidelity approach for design optimization of mesostructure-structure systems”, Structural and Multidisciplinary Optimization (2020): 1-12
24. Xu, H., Bae, C., “Stochastic 3D Microstructure Reconstruction and Mechanical Modeling of Anisotropic Battery Separators”, Journal of Power Sources, 430 (2019): 67-73.
23. Xu, H., Liu, Z., “Control variate multi-fidelity estimators for the variance and sensitivity analysis of mesostructure-structure systems”, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2 (2019): 020907
22. Chen, Z., Tang, H., Shao, Y., Sun, Q., Zhou, G., Li, Y., Xu, H., Zeng, D., Su, X., “Failure of chopped carbon fiber Sheet Molding Compound (SMC) composites under uniaxial tensile loading: Computational prediction and experimental analysis.” Composites Part A: Applied Science and Manufacturing, 118 (2019): 117-130.
21. Yang, J., Xu, H., Zhan, Z., Chuang, C-H., “A Structural Equation Modeling-Based Strategy for Design Optimization of Multilayer Composite Structural Systems”, Journal of Mechanical Design, 140.11 (2018), 111407
20. Li, Y., Chen, Z., Su, L., Chen, W., Jin, X., Xu, H., “Stochastic Reconstruction and Microstructure Modeling of SMC Chopped Fiber Composites”, Composite Structures, 200 (2018): 153-164.
19. Bostanabad, R., Liang, B., Gao, J., Liu, W.K., Cao, J., Zeng, D., Su, X., Xu, H., Li, Y., Chen, W., “Uncertainty quantification in multiscale simulation of woven fiber composites”, Computer Methods in Applied Mechanics and Engineering, 338 (2018): 506-532.
18. Chen, Z., Huang, T., Shao, Y., Li, Y., Xu, H., Avery, K., Zeng, D., Chen, W., Su, X., “Multiscale Finite Element Modeling of Sheet Molding Compound (SMC) Composite Structure based on Stochastic Mesostructure Reconstruction”, Composite Structures, 188 (2018): 25-38.
17. Xu, H., Zhu, M., Marcicki, J., and Yang, X. G., “Mechanical Modeling of Battery Separator based on Microstructure Image Analysis and Stochastic Characterization”,Journal of Power Sources, 345 (2017): 137-145.
16. Li, Y., Chen, Z., Xu, H., Dahl, J., Zeng, D., Mirdamadi, M. and Su, X., “Modeling and Simulation of Compression Molding Process for Sheet Molding Compound (SMC) of Chopped Carbon Fiber Composites”,SAE International Journal of Materials and Manufacturing, 10, No. 2017-01-0228 (2017).
15. Xu, H., Li, Y., and Zeng, D., “Process Integration and Optimization of ICME Carbon Fiber Composites for Vehicle Lightweighting: A Preliminary Development”,SAE International Journal of Materials and Manufacturing, 10, No. 2017-01-0229 (2017).
14. Zheng, K., Yang, R., Xu, H., and Hu, J., “A new distribution metric for comparing Pareto optimal solutions”,Structural and Multidisciplinary Optimization, 55, no. 1 (2017): 53-62.
13. Hassinger, I., Li, X., Zhao, H., Xu, H., Huang, Y., Prasad, A., Schadler, L., Chen, W. and Brinson, L.C., “Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions”,Journal of Materials Science, 9 (2016), pp.4238-4249.
12. Xu, H., Jiang, Z., Apley, D. W., and Chen, W., “New Metrics for Validation of Data-Driven Random Process Models in Uncertainty Quantification”, Journal of Verification, Validation and Uncertainty Quantification 1, no. 2 (2016): 021002.
11. Xu, H., Chuang, C., and Yang, R., “Towards Optimization of Multi-Material Structure: Metamodeling of Mixed-Variable Problems”,SAE International Journal of Materials and Manufacturing, 9, no. 2016-01-0302 (2016): 400-409.
10. Xu, H., Chuang, C., and Yang, R., “A Data Mining-Based Strategy for Direct Multidisciplinary Optimization.”SAE International Journal of Materials and Manufacturing 2015-01-0479 (2015): 357-363.
9. Xu, H., Liu, R., Choudhary, A. Chen, W., “A Machine Learning-based Design Representation Method for Designing Heterogeneous Microstructures”, Journal of Mechanical Design, 137.5 (2015), 051403.
8. Xu, H., Dikin, D., Chen, W., “Descriptor-based Methodology for Statistical Characterization and 3D Reconstruction for Polymer Nanocomposites”, Computational Material Science, Vol. 85 (2014), 206-216.
7. Xu, H., Li, Y., Brinson, L. C., Chen, W., “A Descriptor-based Design Methodology for Developing Heterogeneous Microstructural Materials System”, Journal of Mechanical Design, 5 (2014): 051007 (JMD Editor’s Choice Paper Award).
6. Majcher, M., Xu, H., Chuang, C., Fu, Y., Yang, R. J., “A Comparative Benchmark Study of using Different Multi-Objective Algorithms for Restraint System Design”,SAE International journal of transportation safety 2014-01-0564 (2014): 301-306.
5. Xu, H., Greene, M. S., Deng, H., Dikin, D., Brinson, L. C., Liu, W. K., Burkhart, C., Papakonstantopoulos, G., Poldneff, M., Chen, W., “A Stochastic Reassembly Strategy for Managing Informatio​n Complexity in Heterogene​ous Materials Analysis and Design”, Journal of Mechanical Design, 135(10), 2013.
4. M. Breneman, L.C. Brinson, L.S. Schadler, B. Natarajan, M. Krein, K. Wu, L. Morkowchuk, Y. Li, H. Deng, H. Xu, “Stalking the Materials Genome: A Data-driven Approach to the Virtual Design of Nanostructured Polymers”, Advanced Functional Materials, DOI: 10.1002/adfm.201301744, 2013.
3. Greene, M. S., Xu, H., Tang, S., Chen, W., Liu, W. K., “A generalized uncertainty propagation criterion from benchmark studies of microstructured material systems”, Computer Methods in Applied Mechanics and Engineering, 254, pp 271-291, 2012.
2. Li, G., Zhang, C., Xu, H., Luo, J., Liu, S., “The Film Behaviors of Grease in Point Contact during Micro-oscillation”. Tribology Letters, 38(3), pp 259-266, 2010.
1. Xu, H., Zhang, C.H., “Finite element analysis of roller bearing based on the plastic material models.” Mech. Eng. 46.11 (2010): 29-35.

    FULL LENGTH CONFERENCE PUBLICATIONS

    17. Du, X., Bilgen, O., Xu, H., “Generating Pseudo-Data to Enhance the Performance of Classification-based Engineering Design: a Preliminary Investigation”, ASME 2020 International Mechanical Engineering Congress and Exposition (IMECE), accepted.
    16. Wang, Z., Xu, H.*, “Quantification of Uncertainties distributed in Network-like Systems, ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), IDETC2020-15955.
    15. Wang, Z., Xu, H., Li, Y., “Material Model Calibration by Deep Learning for Additively Manufactured Alloys”, ASME 2020 International Symposium on Flexible Automation, ISFA2020-16724.
    14. Li, Y., Xu, H., Lai, W.J., Li, Z., Su, X., A Multiscale Material Modeling Approach to Predict the Mechanical Properties of Powder Bed Fusion (PBF) Metal, ASTM International’s STP: Selected Technical Papers, in Structural Integrity of Additive Manufactured Materials & Parts, edited by Shamsaei, N. and Seifi, M. (West Conshohocken, PA: ASTM International, 10.1520/STP163120190135), pp.203-213, 2020.
    13. Yang, J., Chuang, C.H., Zhan, Z., Fang, Y., Xu, H. and Guo, G., A Data Mining and Optimization Process with Shape and Size Design Variables Consideration for Vehicle Application (No. 2018-01-0584). SAE Technical Paper (2018).
    12. Liu, Z., Zhu, P., Wang, L., Chuang, C.H. and Xu, H., Multidisciplinary optimization of auto-body lightweight design using hybrid metamodeling technique and particle swarm optimizer. SAE International Journal of Materials and Manufacturing, 11(4), pp.373-384, (2018)
    11. Chen, Z., Wang, M., Shao, Y., Sun, Q., Tang, H., Xu, H., Avery, K., Zeng, D., Su, X., “A Comparative Study of Two ASTM Shear Test Standards for Chopped Carbon Fiber SMC”, SAE Technical Paper 2018-01-0098, (2018)
    10. Xu, H., Yang, J., Chuang, C., and Zhan, Z., “Study of the Design Representative Methods for the Optimization of Multi-layer Composite Structures”, ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC2017-67309.
    9. Chen, Z., Li, Y., Shao, Y., Huang, T., Xu, H., Li, Y., Chen, W., Zeng, D., Avery, K., Kang, H. and Su, X., “A Comparative Study of Two RVE Modelling Methods for Chopped Carbon Fiber SMC”, SAE Technical Paper, No. 2017-01-0224.
    8. Zhao, X., Xi, Z., Xu, H. and Yang, R.J., “Model Bias Characterization Considering Discrete and Continuous Design Variables”, ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC2016-60109.
    7. Xu, H., Chuang, C.H. and Yang, R.J., “Mixed-Variable Metamodeling Methods for Designing Multi-Material Structures”, ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC2016-59176.
    6. Li, Y., Chen, W., Jin, X., and Xu, H., “3D Representative Volume Element Reconstruction of Fiber Composites via Orientation Tensor and Substructure Features”, Proceedings of the American Society for Composites: Thirty-First Technical Conference. 2016.
    5. Xu, H., Chuang, C., and Yang, R., “Improving Multiobjective Multidisciplinary Optimization with a Data Mining-based Hybrid Method”, ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC2015-47361.
    4. Xu, H., Liu, R., Choudhary, A. Chen, W., “A Machine Learning-based Design Representation Method for Designing Heterogeneous Microstructures”, ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC2014-34570 (Best Paper Award).
    3. Xu, H., Majcher, M., Chuang, C., Fu, Y., Yang, R. J., “Comparative Benchmark Studies of Response Surface Model-based Optimization and Direct Multidisciplinary Design Optimization”, SAE World Congress 2014.
    2. Xu, H., Li, Y., Brinson, L. C., Chen, W., “Descriptor-based Methodology for Designing Heterogeneous Materials System”, ASME 2013 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC2013-12232.
    1. Xu, H., Greene, M. S., Deng, H., Brinson, L. C., Dikin, D., Chen, W., “Stochastic Reassembly for Managing the Information Complexity in Multilevel Analysis of Heterogeneous Materials”, ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC2012-70668 (Best Paper Award).

    BOOK CHAPTERS

    • Bostanabad, R., Liang, B., van Beek, A., Gao, J., Liu, W. K., Cao, J., Zeng, D., Su, X., Xu, H., Li, Y. and Chen, W., “Multiscale simulation of fiber composites with spatially varying uncertainties.” In Uncertainty Quantification in Multiscale Materials Modeling, pp. 355-384. Woodhead Publishing, 2020.

    PATENT APPLICATIONS

    • Xu, H., Friske, D.D., Selvasekar, S., Lee, E., Chuang, C.H. and Pfeiffer, J.J., “Article with solid, lattice, and hollow sub-regions.” U.S. Patent Application 15/879,852, filed July 25, 2019. US20190224910A1
    • Xu, H., Selvasekar, S., Chuang, C., and Lee, E., “Integrated digital thread for additive manufacturing design optimization of lightweight structures.” U.S. Patent Application 15/817,330, filed May 23, 2019. US20190152150A1.

    INVITED TALKS

    • Uncertainty Quantification Methods for the Computational Design of Microstructure-Structure Systems”, Dassault Systemes Simulia Corporation, Jan 21, 2020
    • Failure Model of Separators based on Statistical Analysis of Microstructures”, 11th MIT workshop on Computational Modeling of Lithium-ion Batteries for Crash Safety, Nov 13, 2019
    • Uncertainty Quantification Methods for Stochastic Microstructure Characterization and Reconstruction”, Stony Brook University, Oct 25, 2019
    • Computational Design and Uncertainty Quantification of Microstructure, Mesostructure, and Structure”, Rutgers University, Jan 19, 2018
    • Application of data mining methods in direct and RSM-based optimization”, ESTECO Academy Workshop, Wayne State University, Jun 9, 2016