Preprints/ Submitted Papers
Wang, B., Warner, M., Tian, A., Scotzniovsky, L., and Hwang, J. T., "A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing," AIAA Scitech 2025 Forum, submitted.
Wang, B.*, Kim, M. S.*, ..., and Hwang, J. T., "Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modelling approach," arXiv preprint, 2024, arXiv:2411. 08149. [Preprint]
Wang, B., Orndorff, N. C., Sperry, M., and Hwang, J. T., "Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method," arXiv preprint, 2024, arXiv:2305.0556. [Preprint]
Published Journal Articles
Wang, B., Orndorff, N. C., and Hwang, J. T., "Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification. Aerospace Science and Technology, vol. 155, 2024, p. 109607. [Preprint, DOI]
Wang, B., Orndorff, N. C., Sperry, M., and Hwang, J. T., "A gradient-enhanced univariate dimension reduction method for uncertainty propagation," Aerospace Science and Technology, vol. 155, 2024, p. 109602. [Preprint, DOI]
Wang, B., Sperry, M., Gandarillas, V. E., and Hwang, J. T., "Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations", Aerospace Science and Technology, vol. 145, 2024, p. 108843. [Preprint, DOI]
Wang, B., Joshy, A. J., and Hwang, J. T., "Equality-Constrained Engineering Design Optimization Using a Novel Inexact Quasi-Newton Method," AIAA Journal, vol. 60, no. 11, 2022, pp. 6157-6167. [Preprint, DOI]
Duan, C., Deng, C., and Wang, B., "Multi-phase sequential preventive maintenance scheduling for deteriorating repairable systems," Journal of Intelligent Manufacturing, vol. 30, 2019, pp. 1779-1793. [DOI]
Duan, C., Deng, C., Gharaei, A., Wu, J., and Wang, B., "Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions", International Journal of Production Research, vol. 56, no. 23, 2018, pp., 7160-7178. [DOI]
Duan, C., Deng, C., and Wang, B., "Optimal maintenance policy incorporating system level and unit level for mechanical systems", International Journal of Systems Science, vol. 49, no. 5, 2018, pp. 1074-1087. [DOI]
Duan, C., Deng, C., and Wang, B., "Optimal multi-level condition-based maintenance policy for multi-unit systems under economic dependence", The international journal of advanced manufacturing technology, vol. 91, pp. 4299-4312. [DOI]
Conference Papers
Wang, B., Orndorff, N. C., Sperry, M., and Hwang, J. T., "A gradient-enhanced univariate dimension reduction method for uncertainty propagation", AIAA SCITECH 2024 Forum, 2024, p. 1234. [DOI] (2024 SwRI Student Paper Award in Non-Deterministic Approaches)
Wang, B., Orndorff, N. C., Joshy, A. J., and Hwang, J. T., "Graph-accelerated large-scale multidisciplinary design optimization under uncertainty of a laser-beam-powered aircraft", AIAA SCITECH 2024 Forum, 2024, p. 0169. [DOI]
Wang, B., Orndorff, N. C., Sperry, M., and Hwang, J. T., "High-dimensional uncertainty quantification using graph-accelerated non-intrusive polynomial chaos and active subspace methods", AIAA AVIATION 2023 Forum, 2023, p. 4264. [DOI] (MDO Student Paper Competition 1st Place)
Orndorff, N. C., Wang, B., Ruh, M. L., Fletcher, A., and Hwang, J. T., "Gradient-based sizing optimization of power-beaming-enabled aircraft", AIAA AVIATION 2023 Forum, 2023, p. 4019. [DOI]
Wang, B., Orndorff, N. C., & Hwang, J. T., "Optimally tensor-structured quadrature rule for uncertainty quantification", AIAA SCITECH 2023 Forum, 2023, p. 0741. [DOI] (2023 SwRI Student Paper Award in Non-Deterministic Approaches)
Wang, B., Sperry, M., Gandarillas, V. E., and Hwang, J. T., "Efficient uncertainty propagation through computational graph modification and automatic code generation", AIAA AVIATION 2022 Forum, 2022, p. 3997. [DOI]
Wang, B., Joshy, A. J., and Hwang, J. T., "An adaptive, inexact gradient-based algorithm for multidisciplinary design optimization", AIAA AVIATION 2021 FORUM, 2021, p. 3041. [DOI]