Identification of high dimension polynomial chaos expansion with random coefficients using partial experimental data for non-Gaussian tensor-valued random field . Application to mesoscale probabilistic modeling of non homogeneous anisotropic elastic microstructures

Christian Soize

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Identification of high dimension polynomial chaos expansion with random coefficients using partial experimental data for non-Gaussian tensor-valued random field . Application to mesoscale probabilistic modeling of non homogeneous anisotropic elastic microstructures

Christian Soize ^{1, *}

* Corresponding author

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle

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https://hal-upec-upem.archives-ouvertes.fr/hal-00826065
Contributor : Christian Soize <>
Submitted on : Sunday, May 26, 2013 - 5:49:30 PM
Last modification on : Wednesday, February 17, 2021 - 10:42:04 AM

Identification of high dimension polynomial chaos expansion with random coefficients using partial experimental data for non-Gaussian tensor-valued random field . Application to mesoscale probabilistic modeling of non homogeneous anisotropic elastic microstructures

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Identification of high dimension polynomial chaos expansion with random coefficients using partial experimental data for non-Gaussian tensor-valued random field . Application to mesoscale probabilistic modeling of non homogeneous anisotropic elastic microstructures

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