Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Bürchner, Tim"'
Autor:
Singh, Divya Shyam, Herrmann, Leon, Sun, Qing, Bürchner, Tim, Dietrich, Felix, Kollmannsberger, Stefan
Full waveform inversion (FWI) is a powerful tool for reconstructing material fields based on sparsely measured data obtained by wave propagation. For specific problems, discretizing the material field with a neural network (NN) improves the robustnes
Externí odkaz:
http://arxiv.org/abs/2408.00695
Immersed boundary methods simplify mesh generation by embedding the domain of interest into an extended domain that is easy to mesh, introducing the challenge of dealing with cells that intersect the domain boundary. Combined with explicit time integ
Externí odkaz:
http://arxiv.org/abs/2310.14712
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, 2023
Full waveform inversion (FWI) is an iterative identification process that serves to minimize the misfit of model-based simulated and experimentally measured wave field data, with the goal of identifying a field of parameters for a given physical obje
Externí odkaz:
http://arxiv.org/abs/2305.19699
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, 2023
Neural networks have recently gained attention in solving inverse problems. One prominent methodology are Physics-Informed Neural Networks (PINNs) which can solve both forward and inverse problems. In the paper at hand, full waveform inversion is the
Externí odkaz:
http://arxiv.org/abs/2303.03260
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, 2023
Full Waveform Inversion (FWI) is a successful and well-established inverse method for reconstructing material models from measured wave signals. In the field of seismic exploration, FWI has proven particularly successful in the reconstruction of smoo
Externí odkaz:
http://arxiv.org/abs/2209.07826
Publikováno v:
In Computers and Mathematics with Applications 1 June 2024 163:1-13
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 March 2023 406
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