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A Fast, Portable Computational Framework For Aerodynamic Simulations

Authors: Mehdi Ghommem; Daniel Garcia; Nathan Collier; Victor M. Calo;

A Fast, Portable Computational Framework For Aerodynamic Simulations

Abstract

{"references": ["R. E. Perez, P. W. Jansen, J. R. R. A. Martins, pyOpt: a python-based\nobject-oriented framework for nonlinear constrained optimization,\nStructural and Multidisciplinary Optimization 45 (1) (2012) 101 \u2013 118.", "J. J. Alonso, P. LeGresley, E. van der Weide, J. R. R. A. Martins,\nJ. J. Reuther, pymdo: A framework for high-fidelity multi-disciplinary\noptimization, in: 10th AIAA/ISSMO Multidisciplinary Analysis and\nOptimization Conference, AIAA 20044480, 2004.", "Y.-Y. Chen, D. L. Bilyeu, L. Yang, S.-T. J. Yu, Solvcon: A python-based\ncfd software framework for hybrid parallelization, in: 49th AIAA\nAerospace Sciences Meeting including the New Horizons Forum and\nAerospace Exposition, AIAA 2011-1065, 2011.", "L. Dalcin, N. Collier, P. Vignal, A. M. A. Cortes, V. M. Calo, Petiga:\nA framework for high-performance isogeometric analysis, Computer\nMethods in Applied Mechanics and Engineering 308 (2016) 151\u2013181.", "M. Ghommem, M. R. Hajj, D. T. Mook, B. K. Stanford, P. S. Beran,\nL. T. Watson, Global optimization of actively-morphing flapping wings,\nJournal of Fluids and Structures 30 (2012) 210\u2013228.", "B. K. Stanford, P. S. Beran, Analytical sensitivity analysis of an unsteady\nvortex-lattice method for flapping-wing optimization, Journal of Aircraft\n47 (2010) 647\u2013662.", "A. T. Nguyen, J.-K. Kim, J.-S. Han, J.-H. Han, Extended unsteady\nvortex-lattice method for insect flapping wings, Journal of Aircraft 0\n(2016) 1\u201310.", "J. D. Colmenares, O. D. Lpez, S. Preidikman, Computational study of\na transverse rotor aircraft in hover using the unsteady vortex lattice\nmethod, Mathematical Problems in Engineering 2015, article ID 478457.", "A. Rosenberg, A. Sharma, A prescribed-wake vortex lattice method for\npreliminary design of co-axial, dual-rotor wind turbines, Journal of Solar\nEnergy Engineering 138 (2016) 1\u20139.\n[10] B. F. Ng, H. Hesse, R. Palacios, J. M. R. Graham, E. C. Kerrigan,\nAeroservoelastic state-space vortex lattice modeling and load alleviation\nof wind turbine blades, Wind Energy 18 (2015) 1317\u20131331.\n[11] G. Tescione, C. S. Ferreira, G. van Bussel, Analysis of a free vortex\nwake model for the study of the rotor and near wake flow of a vertical\naxis wind turbine, Renewable Energy 87 (2016) 552\u2013563.\n[12] M. Jeona, S. Leea, S. Leeb, Unsteady aerodynamics of offshore floating\nwind turbines in platform pitching motion using vortex lattice method,\nRenewable Energy 65 (2014) 207\u2013212.\n[13] M. F. Neef, D. Hummel, Euler Solutions for a Finite-Span Flapping\nWing in Mueller T. J. (ed.), Fixed and Flapping Wing Aerodynamics\nfor Micro Air Vehicle Applications, American Institute of Aeronautics\nand Astronautics, Inc., Reston, 2004.\n[14] M. Ghommem, V. Calo, Flapping wings in line formation flight: a\ncomputational analysis, The Aeronautical Journal 118 (2014) 485\u2013501.\n[15] J. Katz, A. Plotkin, Low-Speed Aerodynamics, Cambridge University\nPress, MA, 2001."]}

We develop a fast, user-friendly implementation of a potential flow solver based on the unsteady vortex lattice method (UVLM). The computational framework uses the Python programming language which has easy integration with the scripts requiring computationally-expensive operations written in Fortran. The mixed-language approach enables high performance in terms of solution time and high flexibility in terms of easiness of code adaptation to different system configurations and applications. This computational tool is intended to predict the unsteady aerodynamic behavior of multiple moving bodies (e.g., flapping wings, rotating blades, suspension bridges...) subject to an incoming air. We simulate different aerodynamic problems to validate and illustrate the usefulness and effectiveness of the developed computational tool.

Keywords

numerical simulations, Unsteady aerodynamics, mixed-language approach, potential flow.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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