The following publications used DAFoam in their studies. If we miss yours, please feel free to edit this page and submit a pull request.
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J. Park, B. Knight, Y. Liao, M. Mangano, B. Pacini, K. Maki, J. Martins, J. Sun, and Y. Pan. CFD-based Design Optimization of Ducted Hydrokinetic Turbines, Scientific Reports, 2023.
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M.H. Negahban, M. Bashir, V. Traisnel, R.M. Botez. Seamless morphing trailing edge flaps for UAS-S45 using high-fidelity aerodynamic optimization. Chinese Journal of Aeronautics, 2023.
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S. Batay, A. Baidullayeva, Y. Zhao, D. Wei. Aero-Structural Design Optimization of Wind Turbine Blades. Preprints, 2023.
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F. Cao, Z. Tang, C. Zhu X. Zhao. An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems. Mathematics, 2023.
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C. Wu, Y. Zhang. Enhancing the shear-stress-transport turbulence model with symbolic regression: A generalizable and interpretable data-driven approach. Physical Review Fluids, 2023.
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F. Yeganehdoust, H. Karbasian, B. Vermeire. Aerodynamic Optimization of eVTOL Rotor Profiles. Proceedings of the Canadian Society for Mechanical Engineering International Congress, 2023.
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B. Pacini, M. Prajapati, K. Duraisamy, J.R.R.A. Martins, P. He. Towards Mixed-Fidelity Aero-Structural-Acoustic Optimization for Urban Air Mobility Vehicle Design. In: AIAA Aviation Forum, 2023.
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H. M. Hajdik, B. Pacini, A. Yildirim, B. J. Brelje, J.R.R.A. Martins. Combined systems packaging and aerodynamic shape optimization of a full aircraft configuration. In: AIAA Aviation Forum, 2023.
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S. Batay, B. Kamalov, D. Zhangaskanov, Y. Zhao, D. Wei, T. Zhou, X. Su. Adjoint-Based High-Fidelity Concurrent Aerodynamic Design Optimization of Wind Turbine. Fluids, 2023
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H. U. Koyuncuoglu, P. He. CFD Based Multi-Component Aerodynamic Optimization for Wing Propeller Coupling. In: AIAA Scitech Forum, 2023.
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P. He, H.U. Koyuncuoglu, H. Hu, A. Dhulipalla, H.Y. Hu, H. Hu. High-fidelity Aerodynamic and Aerostructural Optimization of UAV Propellers Using the Adjoint Method. In: AIAA Scitech Forum, 2023.
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B Pacini M. Prajapati, K. Duraisamy, J.R.R.A. Martins, P. He. Multipoint Aerostructural Optimization for Urban Air Mobility Vehicle Design. In: AIAA Scitech Forum, 2023.
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B Pacini M. Prajapati, K. Duraisamy, J.R.R.A. Martins, P. He. Understanding Distributed Propulsion on the NASA Tiltwing Concept Vehicle with Aerodynamic Shape Optimization. In: AIAA Scitech Forum, 2023.
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M. H. Negahban, M. Bashir, R.M. Botez. Free-Form Deformation Parameterization on the Aerodynamic Optimization of Morphing Trailing Edge. Applied Mechanics, 2023.
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M. H. Negahban, M. Bashir, R.M. Botez. Aerodynamic Optimization of a Novel Synthetic Trailing Edge and Chord Elongation Morphing: Application to the UAS-S45 Airfoil. In: AIAA Scitech Forum, 2023.
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A. Ghasemi, A. Elham. Efficient multi‑stage aerodynamic topology optimization using an operator‑based analytical differentiation. Structural and Multidisciplinary Optimization, 2022.
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L. Jofre, A. Doostan. Rapid aerodynamic shape optimization under uncertainty using a stochastic gradient approach. Structural and Multidisciplinary Optimization, 2022.
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H. U. Koyuncuoglu, P. He. Simultaneous wing shape and actuator parameter optimization using the adjoint method. Aerospace Science and Technology, 2022.
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Y.L. Lamer, J. Morlier, E. Benard, P. He. Aeroelastic analysis of high aspect ratio and strut-braced wings. In: 33th Congress of the International Council of the Aeronautical Sciences. 2022.
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Omid Bidar, Ping He, Sean Anderson, Ning Qin. An open-source adjoint-based field inversion tool for data-driven RANS modelling, In: AIAA Aviation Forum, 2022. AIAA 2022-4125. https://doi.org/10.2514/6.2022-4125
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Omid Bidar, Ping He, Sean Anderson, Ning Qin. Turbulent mean flow reconstruction based on sparse multi-sensor data and adjoint-based field inversion, In: AIAA Aviation Forum, 2022. AIAA 2022-3900. https://doi.org/10.2514/6.2022-3900
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H. U. Koyuncuoglu, P. He. Coupled Wing-Propeller Aerodynamic Optimization Using the Adjoint Method. In: AIAA Scitech Forum, 2022.
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C. Wu, Y. Zhang. Flow Topology Optimization at High Reynolds Numbers Based on Modified Turbulence Models. arXiv:2207.11711, 2022.
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N.N. Kozyulin, M.S. Bobrov, M.Y. Hrebtov. Adjoint shape optimization of a duct for a wall jet film cooling setup. J. Phys.: Conf. Ser. 2119, 2021.
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Kiet T. Tran, Ping He. Unsteady aerodynamic optimization of airfoils considering shape and propeller parameters. In: AIAA Aviation Forum, 2021.
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J. Ho, A. West. Field Inversion and Machine Learning for Turbulence Modelling Applied to Three-Dimensional Separated Flows. In: AIAA Aviation Forum, 2021.
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Ping He, Joaquim R. R. A. Martins. A hybrid time-spectral approach for aerodynamic optimization with unsteady flow. In: AIAA Scitech Forum, 2021. https://doi.org/10.2514/6.2021-0278
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Ping He, Charles A. Mader, Joaquim R.R.A. Martins, Kevin J. Maki. DAFoam: An open-source adjoint framework for multidisciplinary design optimization with OpenFOAM. AIAA Journal, 2020. https://doi.org/10.2514/1.J058853
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Ping He, Alton J. Luder, Charles A. Mader, Joaquim R.R.A. Martins, Kevin J. Maki. A time-spectral adjoint approach for aerodynamic shape optimization under periodic wakes. In: AIAA Scitech Forum, 2020. AIAA-2020-2114. https://doi.org/10.2514/6.2020-2114
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Ping He, Grzegorz Filip, Kevin J. Maki, Joaquim R. R. A. Martins. Design optimization for self-propulsion of a bulk carrier hull using a discrete adjoint method. Computers & Fluids, 192, pp. 104259, 2019. http://dx.doi.org/10.1016/j.compfluid.2019.104259
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Gaetan K. W. Kenway, Charles A. Mader, Ping He, Joaquim R. R. A. Martins. Effective adjoint approaches for computational fluid dynamics. Progress in Aerospace Sciences, 110, pp. 100542, 2019. http://dx.doi.org/10.1016/j.paerosci.2019.05.002
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Ping He, Charles A. Mader, Joaquim R. R. A. Martins, Kevin J. Maki. Aerothermal optimization of a ribbed U-bend cooling channel using the adjoint method. International Journal of Heat and Mass Transfer, 140, 152-172, 2019. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2019.05.075
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Ping He, Charles A. Mader, Joaquim R. R. A. Martins, Kevin J. Maki. An object-oriented framework for rapid discrete adjoint development using OpenFOAM. In: AIAA Scitech Forum, 2019. AIAA-2019-1210. http://dx.doi.org/10.2514/6.2019-1210
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Ping He, Charles A. Mader, Joaquim R. R. A. Martins, Kevin J. Maki. Aerothermal optimization of internal cooling passages using the adjoint method, In: 2018 Joint Thermophysics and Heat Transfer Conference, 2018. AIAA Aviation Forum, AIAA-2018-4080. http://dx.doi.org/10.2514/6.2018-4080
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Ping He, Grzegorz Filip, Joaquim R. R. A. Martins, Kevin J. Maki. Hull form hydrodynamic design using a discrete adjoint optimization method, In: 13th International Marine Design Conference, 2018
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Ping He, Charles A. Mader, Joaquim R. R. A. Martins, Kevin J. Maki. An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM. Computers & Fluids, 168, pp. 285-303, 2018. http://dx.doi.org/10.1016/j.compfluid.2018.04.012