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Calibration of a Fluid-Structure Problem with Keras

Abstract : In this short paper we report on an inverse problem issued from a physical system, namely a fluid structure problem where the parameters are the rigidity constant, the solid-fluid density ratio and the fluid viscosity. We have chosen a simple geometry so that the numerical solution of the system is easy. We compare the solution of this inverse problem by a Neural Network with a more classical solution obtained with a genetic algorithm. The Neural Network does much better.
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https://hal.sorbonne-universite.fr/hal-02281069
Contributor : Olivier Pironneau <>
Submitted on : Saturday, September 7, 2019 - 5:58:57 PM
Last modification on : Wednesday, December 9, 2020 - 3:14:48 PM
Long-term archiving on: : Thursday, February 6, 2020 - 9:59:05 PM

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FSIinverseKeras.pdf
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Identifiers

  • HAL Id : hal-02281069, version 1
  • ARXIV : 1909.03708

Citation

Olivier Pironneau. Calibration of a Fluid-Structure Problem with Keras. 2019. ⟨hal-02281069⟩

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