Full title: Large-scale multidisciplinary design optimization of power-beaming-enabled air platforms
Relevant papers
- Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang. Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method. Aerospace Science and Technology, 2025.DOIPDF
@article{wang2025extension, author = {Bingran Wang and Nicholas C. Orndorff and Mark Sperry and John T. Hwang}, title = {Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method}, journal = {Aerospace Science and Technology}, year = {2025}, volume = {160}, pages = {110074}, doi = {10.1016/j.ast.2025.110074}, url = {https://doi.org/10.1016/j.ast.2025.110074}, note = {Metadata verification: Crossref DOI} } - Bingran Wang, Mark Sperry, Victor E. Gandarillas, John T. Hwang. Accelerating Model Evaluations in Uncertainty Propagation on Tensor Grids Using Computational Graph Transformations. Aerospace Science and Technology 145 (2024), p. 108843, 2024.PDF
@article{wang2023accelerating, author = {Bingran Wang and Mark Sperry and Victor E. Gandarillas and John T. Hwang}, title = {Accelerating Model Evaluations in Uncertainty Propagation on Tensor Grids Using Computational Graph Transformations}, journal = {Aerospace Science and Technology 145 (2024), p. 108843}, year = {2023}, note = {Metadata verification: Crossref unavailable: HTTPError} } - Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang. A gradient-enhanced univariate dimension reduction method for uncertainty propagation. Aerospace Science and Technology, 2024.DOIPDF
@article{wang2024gradient, author = {Bingran Wang and Nicholas C. Orndorff and Mark Sperry and John T. Hwang}, title = {A gradient-enhanced univariate dimension reduction method for uncertainty propagation}, journal = {Aerospace Science and Technology}, year = {2024}, volume = {155}, pages = {109602}, doi = {10.1016/j.ast.2024.109602}, url = {https://doi.org/10.1016/j.ast.2024.109602}, note = {Metadata verification: Crossref DOI} } - Bingran Wang, Nicholas C. Orndorff, John T. Hwang. Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification. Aerospace Science and Technology, 2024.DOIPDF
@article{wang2024graph, author = {Bingran Wang and Nicholas C. Orndorff and John T. Hwang}, title = {Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification}, journal = {Aerospace Science and Technology}, year = {2024}, volume = {155}, pages = {109607}, doi = {10.1016/j.ast.2024.109607}, url = {https://doi.org/10.1016/j.ast.2024.109607}, note = {Metadata verification: Crossref DOI} } - Bingran Wang, Nicholas C. Orndorff, Anugrah J. Joshy, John T. Hwang. Graph-accelerated large-scale multidisciplinary design optimization under uncertainty of a laser-beam-powered aircraft. AIAA SCITECH 2024 Forum, 2024.DOIPDF
@inproceedings{wang2024grapha, author = {Bingran Wang and Nicholas C. Orndorff and Anugrah J. Joshy and John T. Hwang}, title = {Graph-accelerated large-scale multidisciplinary design optimization under uncertainty of a laser-beam-powered aircraft}, booktitle = {AIAA SCITECH 2024 Forum}, year = {2024}, doi = {10.2514/6.2024-0169}, url = {https://doi.org/10.2514/6.2024-0169}, note = {Metadata verification: Crossref DOI} } - Nicholas C. Orndorff, Bingran Wang, Marius L. Ruh, Andrew H. Fletcher, John T. Hwang. Gradient-Based Sizing Optimization of Power-Beaming-Enabled Aircraft. AIAA AVIATION 2023 Forum, p. 4019, 2023.DOIPDF
@inproceedings{orndorff2023gradient, author = {Nicholas C. Orndorff and Bingran Wang and Marius L. Ruh and Andrew H. Fletcher and John T. Hwang}, title = {Gradient-Based Sizing Optimization of Power-Beaming-Enabled Aircraft}, booktitle = {AIAA AVIATION 2023 Forum}, pages = {4019}, year = {2023}, doi = {10.2514/6.2023-4019}, url = {https://doi.org/10.2514/6.2023-4019} } - Nicholas C. Orndorff, Darshan Sarojini, Luca Scotzniovsky, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Shuofeng Zhao, Chris Mi, John T. Hwang. Air-taxi transition trajectory optimization with physics-based models. AIAA SCITECH 2023 Forum, 2023.DOIPDF
@inproceedings{orndorff2023air, author = {Nicholas C. Orndorff and Darshan Sarojini and Luca Scotzniovsky and Hyunjune Gill and Seongkyu Lee and Zeyu Cheng and Shuofeng Zhao and Chris Mi and John T. Hwang}, title = {Air-taxi transition trajectory optimization with physics-based models}, booktitle = {AIAA SCITECH 2023 Forum}, year = {2023}, doi = {10.2514/6.2023-0324}, url = {https://doi.org/10.2514/6.2023-0324}, note = {Metadata verification: Crossref title} } - Bingran Wang, Nicholas C. Orndorff, Mark Sperry, John T. Hwang. High-Dimensional Uncertainty Quantification Using Graph-Accelerated Non-Intrusive Polynomial Chaos and Active Subspace Methods. AIAA Aviation 2023 Forum, 2023.PDF
@inproceedings{wang2023high, author = {Bingran Wang and Nicholas C. Orndorff and Mark Sperry and John T. Hwang}, title = {High-Dimensional Uncertainty Quantification Using Graph-Accelerated Non-Intrusive Polynomial Chaos and Active Subspace Methods}, booktitle = {AIAA Aviation 2023 Forum}, year = {2023}, note = {Metadata verification: Crossref unavailable: HTTPError} } - Bingran Wang, Nicholas C. Orndorff, John T. Hwang. Optimally tensor-structured quadrature rule for uncertainty quantification. AIAA SCITECH 2023 Forum, 2023.DOIPDF
@inproceedings{wang2023optimally, author = {Bingran Wang and Nicholas C. Orndorff and John T. Hwang}, title = {Optimally tensor-structured quadrature rule for uncertainty quantification}, booktitle = {AIAA SCITECH 2023 Forum}, year = {2023}, doi = {10.2514/6.2023-0741}, url = {https://doi.org/10.2514/6.2023-0741}, note = {Metadata verification: Crossref title} }
This project pioneers large-scale multidisciplinary design optimization as a sizing tool for power-beaming-enabled UAVs, replacing lost design-database knowledge with physics-based models of structures, thermal behavior, aerodynamics, motors, batteries and photovoltaic cells. It addresses coupling to the energy web, expensive trajectory analysis, and large technology, mission and model uncertainties.
Research connections