Funded projects

Large-scale MDAO of urban air mobility vehicle concepts

NASA · University Leadership Initiative

Full title: Rapid development of urban air mobility vehicle concepts through full-configuration multidisciplinary design, analysis, and optimization

Collaborating institutions: UC San Diego, San Diego State University, UC Davis, Brigham Young University, Aurora Flight Sciences, M4 Engineering

Relevant papers

  1. Marius L. Ruh, Michael A. P. Warner, Luca Scotzniovsky, Andrew H. Fletcher, Mark Z. Sperry, John T. Hwang. System-Level, Large-Scale Multidisciplinary Design Optimization of an Air Taxi Concept. Journal of Aircraft, 2026.
    DOIPDF
  2. Sebastiaan P. van Schie, John T. Hwang. Computational Framework for High-Fidelity Aerodynamic Shape Optimization Using Weighted POD. AIAA AVIATION 2026 Forum, 2026.
    DOIPDF
  3. Sebastiaan P. van Schie, John T. Hwang. Towards Hyper-Reduced Weighted POD for Large-Scale Aerodynamic Design Optimization. AIAA SCITECH 2026 Forum, 2026.
    DOIPDF
  4. Zeyu Cheng, Zhi Cao, Chris Mi, John T. Hwang. Cost Optimization of Electric Vertical Takeoff and Landing Aircraft Through Powertrain Modeling. Journal of Air Transportation, 2025.
    DOIPDF
  5. Zeyu Cheng, Zhi Cao, John T. Hwang, Chris Mi. Weight minimization of electric vertical takeoff and landing aircraft: From the comprehensive powertrain perspective. International Journal of Electrical Power & Energy Systems, 2025.
    DOIPDF
  6. Joshua Krokowski, John T. Hwang. Penalty-Based Coupling of Non-Matching Beam Cross-Section Meshes for Large-Scale Design Optimization. AIAA AVIATION FORUM AND ASCEND 2025, 2025.
    DOIPDF
  7. Marius L. Ruh, John T. Hwang. Differentiable Surface Mesh Deformation for Non-Conformal, Independently Parameterized Components with Large Shape Changes. AIAA AVIATION FORUM AND ASCEND 2025, 2025.
    DOIPDF
  8. Marius L. Ruh, Michael Warner, John T. Hwang. Toward Large-Scale Multidisciplinary Design Optimization of Aircraft With CFD and Mixed-Fidelity System Models. AIAA SCITECH 2025 Forum, 2025.
    DOIPDF
  9. Luca Scotzniovsky, Ru Xiang, Zeyu Cheng, Gabriel Rodriguez, David Kamensky, Chris Mi, John T. Hwang. Geometric design of electric motors using adjoint-based shape optimization. Optimization and Engineering, 2025.
    DOIPDF
  10. Mark Z. Sperry, John T. Hwang. Ozone: an open-source ordinary differential equation solver for gradient-based optimization. Optimization and Engineering, 2025.
    DOIPDF
  11. Sebastiaan P. van Schie, Marius L. Ruh, Andrew H. Fletcher, Michael Warner, Mark Sperry, Luca Scotzniovsky, Nicholas C. Orndorff, Ru Xiang, Jiayao Yan, Han Zhao, Joshua Krokowski, Jiun-Shyan Chen, Darshan Sarojini, Hyunjune Gill, Seongkyu Lee, Andrew C. Tagg, Ryan Anderson, Eric Green, Cibin Joseph, Andrew Ning, Zeyu Cheng, Zhi Cao, Chunting Mi, Alexandre T. Guibert, Ashley Cronk, Alicia A. Kim, Shirley Meng, Christopher Silva, John T. Hwang. Large-Scale Distributed Multidisciplinary Design Optimization of the NASA Lift-Plus-Cruise Air Taxi Concept. AIAA SCITECH 2025 Forum, 2025.
    DOIPDF
  12. 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
  13. Han Zhao, John T. Hwang, Jiun-Shyan Chen. Open-source shape optimization for isogeometric shells using FEniCS and OpenMDAO. Engineering with Computers, 2025.
    DOIPDF
  14. Marius L. Ruh, Andrew Fletcher, Darshan Sarojini, Mark Sperry, Jiayao Yan, Luca Scotzniovsky, Sebastiaan P. van Schie, Michael Warner, Nicholas C. Orndorff, Ru Xiang, Anugrah J. Joshy, Han Zhao, Joshua Krokowski, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Zhi Cao, Chris Mi, Christopher Silva, Lauren Wolfe, Jiun-Shyan Chen, John T. Hwang. Large-scale multidisciplinary design optimization of a NASA air taxi concept using a comprehensive physics-based system model. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  15. Darshan Sarojini, Marius Ruh, Jiayao Yan, Luca Scotzniovsky, Nicholas C. Orndorff, Ru Xiang, Han Zhao, Joshua Krokowski, Michael Warner, Sebastiaan van Schie, Ashley Cronk, Alexandre T. Guibert, Jeffrey T. Chambers, Lauren Wolfe, Rachel Doring, Robin Despins, Cibin Joseph, Ryan Anderson, Andrew Ning, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Zhi Cao, Chris Mi, Ying Shirley Meng, Christopher Silva, Jiun-Shyan Chen, Alicia A. Kim, John T. Hwang. Review of Computational Models for Large-Scale MDAO of Urban Air Mobility Concepts. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  16. Mark Sperry, Kavish Kondap, John T. Hwang. Static Task Scheduling for Parallel Execution of Large-Scale Multidisciplinary Design Optimization Models. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  17. Sebastiaan P. van Schie, Michael Warner, Andrew Fletcher, John T. Hwang. Enforcing Work Conservation in Modular Aeroelastic Coupling For Multidisciplinary Design Optimization. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  18. 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
  19. Michael Warner, Andrew Fletcher, Sebastiaan P. van Schie, John T. Hwang. A Method for Modular MDO Model Assembly via a Solver Independent Field Representation. AIAA SCITECH 2024 Forum, 2024.
    DOIPDF
  20. Ru Xiang, Sebastiaan P. C. van Schie, Luca Scotzniovsky, Jiayao Yan, David Kamensky, John T. Hwang. Automating adjoint sensitivity analysis for multidisciplinary models involving partial differential equations. Structural and Multidisciplinary Optimization (in press 2024, per CV), 2024.
    DOIPDF
  21. Han Zhao, David Kamensky, John T. Hwang, Jiun-Shyan Chen. Automated shape and thickness optimization for non-matching isogeometric shells using free-form deformation. Engineering with Computers, 2024.
    DOIPDF
  22. Han Zhao, John T. Hwang, Jiun-Shyan Chen. Shape optimization of non-matching isogeometric shells with moving intersections. Computer Methods in Applied Mechanics and Engineering, 2024.
    DOIPDF
  23. Ryan M. Anderson, Andrew Ning, Ru Xiang, Sebastiaan P. C. van Schie, Mark Sperry, Darshan Sarojini, David Kamensky, John T. Hwang. Aerostructural Predictions Combining FEniCS and a Viscous Vortex Particle Method FLOWVPM. AIAA SciTech 2023 Forum, 2023.
    PDF
  24. Zeyu Cheng, Zhi Cao, John T. Hwang, Chris Mi. A Novel Single-Turn Permanent Magnet Synchronous Machine for Electric Aircraft. Energies, 2023.
    DOIPDF
  25. Victor Gandarillas, Anugrah Jo Joshy, Mark Z. Sperry, Alexander K. Ivanov, John T. Hwang. A Graph-Based Methodology for Constructing Computational Models that Automates Adjoint-Based Sensitivity Analysis. Structural and Multidisciplinary Optimization 67.5 (2024), p. 76, 2023.
    PDF
  26. Thomas Nascenzi, Timothy Cuatt, Tyler F. Winter, Marius L. Ruh, Darshan Sarojini, John T. Hwang, Sarina Kiani. Physics-based Surrogate Models for Urban Air Mobility Vehicle Weight Prediction. AIAA SCITECH 2023 Forum, 2023.
    DOIPDF
  27. 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
  28. 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
  29. Marius L. Ruh, Xiangbei Liu, Rose Yu, John T. Hwang. Airfoil shape parameterization using reconstruction-error-minimizing generative adversarial networks. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  30. Marius L. Ruh, John T. Hwang. Fast and Robust Computation of Optimal Rotor Designs Using Blade Element Momentum Theory. AIAA Journal, 2023.
    DOIPDF
  31. Marius L. Ruh, Darshan Sarojini, Andrew H. Fletcher, Isaac Asher, John T. Hwang. Large-Scale Multidisciplinary Design Optimization of the NASA Lift-Plus-Cruise Concept Using a Novel Aircraft Design Framework. VFS Autonomous VTOL Technical Meeting, Mesa AZ, Jan 24–26 2023; preprint arXiv:2304.14889, 2023.
    PDF
  32. Shaadi Sabeti, Thomas Nascenzi, Timothy Cuatt, Tyler F. Winter, Marius L. Ruh, Darshan Sarojini, John T. Hwang. Generating Structural Weight Estimation Equations for a Category of UAM Aircraft. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  33. Darshan Sarojini, Marius L. Ruh, Mark Sperry, Jiayao Yan, Andrew Fletcher, Anugrah Jo Joshy, Luca Scotzniovsky, Alexander Ivanov, Nicholas Orndorff, Victor Gandarillas, Isaac Asher, Jeff Chambers, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Gabriel Rodriguez, Shuofeng Zhao, Chunting Mi, Thomas Nascenzi, Timothy Cuatt, Tyler Winter, Alexandre Guibert, Ashley Cronk, Alicia Kim, Shirley Meng, John T. Hwang. Large-Scale Multidisciplinary Design Optimization of an eVTOL Aircraft Using Comprehensive Analysis. AIAA SciTech 2023 Forum, 2023.
    PDF
  34. Mark Sperry, Kavish Kondap, John T. Hwang. Automatic adjoint sensitivity analysis of models for large-scale multidisciplinary design optimization. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  35. Sebastiaan P. van Schie, John T. Hwang. Model Reduction of Isogeometric Shell Structures For Large-Scale Design Optimization. AIAA AVIATION 2023 Forum, 2023.
    DOIPDF
  36. 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
  37. Nicholas C. Orndorff, John T. Hwang. Investigation of Optimal Air-Taxi Transition Profiles using Direct-Transcription Trajectory Optimization. AIAA AVIATION 2022 Forum, 2022.
    DOIPDF
  38. Bingran Wang, Mark Sperry, Victor E. Gandarillas, John T. Hwang. Efficient Uncertainty Propagation Through Computational Graph Modification and Automatic Code Generation. AIAA Aviation 2022 Forum, 2022.
    PDF
  39. Bingran Wang, Anugrah Jo Joshy, John T. Hwang. Equality-Constrained Engineering Design Optimization Using a Novel Inexact Quasi-Newton Method. AIAA Journal, 2022.
    DOIPDF
  40. Jiayao Yan, John T. Hwang. A frequency-domain-inspired reformulation of the unsteady vortex lattice method. AIAA AVIATION 2022 Forum, 2022.
    DOIPDF
  41. Jiayao Yan, Ru Xiang, David Kamensky, Michael T. Tolley, John T. Hwang. Topology optimization with automated derivative computation for multidisciplinary design problems. Structural and Multidisciplinary Optimization, 2022.
    DOIPDF
  42. Han Zhao, Xiangbei Liu, Andrew H. Fletcher, Ru Xiang, John T. Hwang, David Kamensky. An open-source framework for coupling non-matching isogeometric shells with application to aerospace structures. Computers & Mathematics with Applications, 2022.
    DOIPDF

This project develops computational models and optimization algorithms for faster, more effective design of urban air mobility vehicles. It builds a large-scale multidisciplinary design, analysis and optimization framework and applies it to three technical challenge problems.

Animation of the 15 modeled design conditions, including nominal flight, motor-failure, static structural-sizing, and quasi-steady transition cases. [1]

Research connections

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