pyOptSparse in published works

pyOptSparse has been used extensively in the field of engineering design optimization. The following is a non-exhaustive list of works that have used pyOptSparse. The citations are organized by the optimization framework for which pyOptSparse is used within.

MACH-Aero

MACH-Aero is an open-source aerodynamic shape optimization framework developed by the MDO Lab at the University of Michigan. Since the vast majority of publications from the MDO Lab uses the MACH framework (and as a result pyOptSparse), only a few select publications from the lab are listed below. The rest are works in conjunction with collaborators.

  • Nathalie Bartoli, Mostafa Meliani, Joseph Morlier, Thierry Lefebvre, Mohamed-Amine Bouhlel, and Joaquim R. R. A. Martins. Multi-fidelity efficient global optimization: methodology and application to airfoil shape design. In AIAA Aviation Forum. June 2019. doi:10.2514/6.2019-3236.

  • Nicolas P. Bons, Charles A. Mader, Joaquim R. R. A. Martins, Ana P. C. Cuco, and Felipe I. K. Odaguil. High-fidelity aerodynamic shape optimization of a full configuration regional jet. In 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Kissimmee, FL, January 2018. doi:10.2514/6.2018-0106.

  • Nicolas P. Bons, Joaquim R. R. A. Martins, Charles A. Mader, Matthew McMullen, and Michelle Suen. High-fidelity aerostructural optimization studies of the Aerion AS2 supersonic business jet. In Proceedings of the AIAA Aviation Forum. June 2020. doi:10.2514/6.2020-3182.

  • Benjamin J. Brelje, Joshua Anibal, Anil Yildirim, Charles A. Mader, and Joaquim R. R. A. Martins. Flexible formulation of spatial integration constraints in aerodynamic shape optimization. AIAA Journal, 58(6):2571–2580, June 2020. doi:10.2514/1.J058366.

  • Timothy R. Brooks, Gaetan K. W. Kenway, and Joaquim R. R. A. Martins. Benchmark aerostructural models for the study of transonic aircraft wings. AIAA Journal, 56(7):2840–2855, July 2018. doi:10.2514/1.J056603.

  • Timothy R. Brooks, Joaquim R. R. A. Martins, and Graeme J. Kennedy. High-fidelity aerostructural optimization of tow-steered composite wings. Journal of Fluids and Structures, 88:122–147, July 2019. doi:10.1016/j.jfluidstructs.2019.04.005.

  • Timothy R. Brooks, Joaquim R. R. A. Martins, and Graeme J. Kennedy. Aerostructural trade-offs for tow-steered composite wings. Journal of Aircraft, 2020. doi:10.2514/1.C035699.

  • David A. Burdette and Joaquim R. R. A. Martins. Impact of morphing trailing edge on mission performance for the Common Research Model. Journal of Aircraft, 56(1):369–384, January 2019. doi:10.2514/1.C034967.

  • Gustavo L. O. Halila, Joaquim R. R. A. Martins, and Krzysztof J. Fidkowski. Adjoint-based aerodynamic shape optimization including transition to turbulence effects. Aerospace Science and Technology, pages 1–15, December 2020. doi:10.1016/j.ast.2020.106243.

  • Ping He and and Joaquim R. R. A. Martins. A hybrid time-spectral approach for aerodynamic shape optimization with unsteady flow. In Proceedings of the AIAA SciTech Forum. January 2021. doi:10.2514/6.2021-0278.

  • Ping He, Grzegorz Filip, Joaquim R. R. A. Martins, and Kevin J. Maki. Design optimization for self-propulsion of a bulk carrier hull using a discrete adjoint method. Computers & Fluids, 192:104259, October 2019. doi:10.1016/j.compfluid.2019.104259.

  • Ping He, Charles A. Mader, Joaquim R. R. A. Martins, and Kevin J. Maki. DAFoam: an open-source adjoint framework for multidisciplinary design optimization with OpenFOAM. AIAA Journal, March 2020. doi:10.2514/1.J058853.

  • Xiaolong He, Jichao Li, Charles A. Mader, Anil Yildirim, and Joaquim R. R. A. Martins. Robust aerodynamic shape optimization—from a circle to an airfoil. Aerospace Science and Technology, 87:48–61, April 2019. doi:10.1016/j.ast.2019.01.051.

  • Davide Ivaldi, Ney R. Secco, Song Chen, John T. Hwang, and Joaquim R. R. A. Martins. Aerodynamic shape optimization of a truss-braced-wing aircraft. In Proceedings of the 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Dallas, TX, June 2015. doi:10.2514/6.2015-3436.

  • Jichao Li, Mohamed Amine Bouhlel, and Joaquim R. R. A. Martins. Data-based approach for fast airfoil analysis and optimization. AIAA Journal, 57(2):581–596, February 2019. doi:10.2514/1.J057129.

  • Jichao Li, Sicheng He, and Joaquim R. R. A. Martins. Data-driven constraint approach to ensure low-speed performance in transonic aerodynamic shape optimization. Aerospace Science and Technology, 92:536–550, September 2019. doi:10.1016/j.ast.2019.06.008.

  • Jichao Li, Mengqi Zhang, Joaquim R. R. A. Martins, and Chang Shu. Efficient aerodynamic shape optimization with deep-learning-based filtering. AIAA Journal, 58(10):4243–4259, October 2020. doi:10.2514/1.J059254.

  • Zhoujie Lyu, Gaetan K. W. Kenway, and Joaquim R. R. A. Martins. Aerodynamic shape optimization investigations of the Common Research Model wing benchmark. AIAA Journal, 53(4):968–985, April 2015. doi:10.2514/1.J053318.

  • Mads H. Aa. Madsen, Frederik Zahle, Niels N. Sørensen, and Joaquim R. R. A. Martins. Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine. Wind Energy Science, 4:163–192, April 2019. doi:10.5194/wes-4-163-2019.

  • Ney R. Secco and Joaquim R. R. A. Martins. RANS-based aerodynamic shape optimization of a strut-braced wing with overset meshes. Journal of Aircraft, 56(1):217–227, January 2019. doi:10.2514/1.C034934.

  • Yayun Shi, Charles A. Mader, Sicheng He, Gustavo L. O. Halila, and Joaquim R. R. A. Martins. Natural laminar-flow airfoil optimization design using a discrete adjoint approach. AIAA Journal, 58(11):4702–4722, November 2020. doi:10.2514/1.J058944.

OpenMDAO

OpenMDAO is a popular multidisciplinary design and optimization framework developed by NASA Glenn Research Center, and support pyOptSparse as one of the possible optimization drivers.

  • Nathalie Bartoli, Thierry Lefebvre, Sylvain Dubreuil, Romain Olivanti, Nicolas Bons, Joaquim R. R. A. Martins, Mohamed Amine Bouhlel, and Joseph Morlier. An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization. In Proceedings of the 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Denver, CO, June 2017. doi:10.2514/6.2017-4433.

  • Alp Dener, Pengfei Meng, Jason E Hicken, Graeme Kennedy, John Hwang, and Justin S Gray. Kona: a parallel optimization library for engineering-design problems. In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 1422. 2016. doi:10.2514/6.2016-1422.

  • Justin S. Gray and Joaquim R. R. A. Martins. Coupled aeropropulsive design optimization of a boundary-layer ingestion propulsor. The Aeronautical Journal, 123(1259):121–137, January 2019. doi:10.1017/aer.2018.120.

  • Tae H Ha, Keunseok Lee, and John T Hwang. Large-scale multidisciplinary optimization under uncertainty for electric vertical takeoff and landing aircraft. In AIAA SciTech 2020 Forum, 0904. 2020. doi:10.2514/6.2020-0904.

  • John M. Hegseth, Erin E. Bachynski, and Joaquim R. R. A. Martins. Integrated design optimization of spar floating wind turbines. Marine Structures, 72:102771, July 2020. (Moan–Faltinsen Best Paper Award). doi:10.1016/j.marstruc.2020.102771.

  • John Marius Hegseth, Erin E. Bachynski, and Joaquim R. R. A. Martins. Design optimization of spar floating wind turbines considering different control strategies. Journal of Physics: Conference Series, 1669:012010, October 2020. doi:10.1088/1742-6596/1669/1/012010.

  • Austin J Herrema, Josef Kiendl, and Ming-Chen Hsu. A framework for isogeometric-analysis-based optimization of wind turbine blade structures. Wind Energy, 22(2):153–170, 2019. doi:10.1002/we.2276.

  • Daniel Ingraham, Justin S Gray, and Leonard V Lopes. Gradient-based propeller optimization with acoustic constraints. In AIAA SciTech 2019 Forum, 1219. 2019. doi:10.2514/6.2019-1219.

  • John Jasa, Benjamin Brelje, Justin Gray, Charles A. Mader, and Joaquim R. R. A. Martins. Large-scale path-dependent optimization of supersonic aircraft. Aerospace, October 2020. doi:10.3390/aerospace7100152.

  • Graeme Kennedy and Yicong Fu. Topology optimization benchmark problems for assessing the performance of optimization algorithms. In AIAA SciTech 2021 Forum, 1357. 2021. doi:10.2514/6.2021-1357.

  • Michael K. McWilliam, Frederik Zahle, Antariksh Dicholkar, David Verelst, and Taeseong Kim. Optimal aero-elastic design of a rotor with bend-twist coupling. Journal of Physics: Conference Series, 1037:042009, jun 2018. doi:10.1088/1742-6596/1037/4/042009.

  • Rajaram Attukur Nandagopal and Srikanth Narasimalu. Multi-objective optimization of hydrofoil geometry used in horizontal axis tidal turbine blade designed for operation in tropical conditions of South East Asia. Renewable Energy, 146:166–180, 2020. doi:10.1016/j.renene.2019.05.111.

  • A. S. Padrón, J. Thomas, A. P. J. Stanley, J. J. Alonso, and A. Ning. Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization. Wind Energy Science, 4(2):211–231, 2019. doi:10.5194/wes-4-211-2019.

  • Christian Pavese, Carlo Tibaldi, Frederik Zahle, and Taeseong Kim. Aeroelastic multidisciplinary design optimization of a swept wind turbine blade. Wind Energy, 20(12):1941–1953, 2017. doi:10.1002/we.2131.

  • Ignas Satkauskas, Evan Gaertner, Pietro Bortolotti, Garrett Barter, and Peter A Graf. Wind turbine rotor design optimization using importance sampling. In AIAA SciTech 2020 Forum, 1953. 2020. doi:10.2514/6.2020-1953.

  • Jared J. Thomas and Andrew Ning. A method for reducing multi-modality in the wind farm layout optimization problem. In Journal of Physics: Conference Series, volume 1037. Milano, Italy, June 2018. The Science of Making Torque from Wind. doi:10.1088/1742-6596/1037/4/042012.

  • Frederik Zahle, Carlo Tibaldi, Christian Pavese, Michael K. McWilliam, Jose P. A. A. Blasques, and Morten H. Hansen. Design of an aeroelastically tailored 10 MW wind turbine rotor. Journal of Physics: Conference Series, 753(6):062008, 2016.

OpenAeroStruct

OpenAeroStruct is a low-fidelity aerostructural optimization framework implemented in OpenMDAO, and as such can leverage the optimization capabilities of pyOptSparse.

  • Timothy R Brooks and Benjamin D Smith. Aerostructural design optimization of the D8 aircraft using active aeroelastic tailoring. In AIAA Scitech 2020 Forum, 1967. 2020. doi:10.2514/6.2020-1967.

  • Shamsheer S. Chauhan and Joaquim R. R. A. Martins. Low-fidelity aerostructural optimization of aircraft wings with a simplified wingbox model using OpenAeroStruct. In Proceedings of the 6th International Conference on Engineering Optimization, EngOpt 2018, 418–431. Lisbon, Portugal, September 2018. Springer. doi:10.1007/978-3-319-97773-7_38.

  • John P. Jasa, Shamsheer S. Chauhan, Justin S. Gray, and Joaquim R. R. A. Martins. How certain physical considerations impact aerostructural wing optimization. In AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Dallas, TX, June 2019. doi:10.2514/6.2019-3242.

  • John P. Jasa, John T. Hwang, and Joaquim R. R. A. Martins. Open-source coupled aerostructural optimization using Python. Structural and Multidisciplinary Optimization, 57(4):1815–1827, April 2018. doi:10.1007/s00158-018-1912-8.

SUAVE

SUAVE is a conceptual-level aircraft design framework developed at Stanford University that includes multiple analysis fidelities, and provides a pyOptSparse interface.

  • Stanislav Karpuk and Ali Elham. Conceptual design trade study for an energy-efficient mid-range aircraft with novel technologies. In AIAA Scitech 2021 Forum, 0013. 2021. doi:10.2514/6.2021-0013.

  • Michael Kruger and Alejandra Uranga. The feasibility of electric propulsion for commuter aircraft. In AIAA Scitech 2020 Forum, 1499. 2020. doi:10.2514/6.2020-1499.

Other

The works which did not use any of the aforementioned frameworks are listed here.

  • N. Bartoli, T. Lefebvre, S. Dubreuil, R. Olivanti, R. Priem, N. Bons, Joaquim R. R. A. Martins, and J. Morlier. Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design. Aerospace Science and Technology, 90:85–102, July 2019. doi:10.1016/j.ast.2019.03.041.

  • Julien de Mûelenaere and Juan J Alonso. High-fidelity trajectory based MDO for the conceptual design of an air-launched spaceplane. In 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 0416. 2018. doi:10.2514/6.2018-0416.

  • John T Hwang, Arnav V Jain, and Tae H Ha. Large-scale multidisciplinary design optimization—review and recommendations. In AIAA Aviation 2019 Forum, 3106. 2019. doi:10.2514/6.2019-3106.

  • Graeme J. Kennedy and Ting Wei Chin. A sequential convex optimization method for multimaterial compliance design problems. Computers & Structures, 212:110 –124, 2019. doi:10.1016/j.compstruc.2018.10.007.

  • Gaetan K. W. Kenway and Joaquim R. R. A. Martins. Multipoint high-fidelity aerostructural optimization of a transport aircraft configuration. Journal of Aircraft, 51(1):144–160, January 2014. doi:10.2514/1.C032150.

  • Jichao Li and Jinsheng Cai. Massively multipoint aerodynamic shape design via surrogate-assisted gradient-based optimization. AIAA Journal, 58(5):1949–1963, 2020. doi:10.2514/1.J058491.

  • Jichao Li, Jinsheng Cai, and Kun Qu. Drag reduction of transonic wings with surrogate-based optimization. In Asia-Pacific International Symposium on Aerospace Technology, 1065–1080. Springer, 2018. doi:10.1007/978-981-13-3305-7_85.

  • Dev Rajnarayan, Andrew Ning, and Judd A. Mehr. Universal airfoil parametrization using b-splines. In Proceedings of the AIAA Aviation Forum. 2018. doi:10.2514/6.2018-3949.

  • Smruti Sahoo, Xin Zhao, and Konstantinos Kyprianidis. A review of concepts, benefits, and challenges for future electrical propulsion-based aircraft. Aerospace, 7(4):44, 2020. doi:10.3390/aerospace7040044.