Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues
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Publication:2678528
DOI10.1016/j.cma.2022.115812OpenAlexW4310968331WikidataQ125847651 ScholiaQ125847651MaRDI QIDQ2678528
Bjørn Sand Jensen, Sanjay Pant, Chung-Hao Lee, Ankush Aggarwal
Publication date: 23 January 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2210.00868
Gaussian processesnonlinear elasticitymachine learningstochastic finite element analysisconstitutive modelingtissue biomechanics
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Gradient enhanced Gaussian process regression for constitutive modelling in finite strain hyperelasticity ⋮ Dual order-reduced Gaussian process emulators (DORGP) for quantifying high-dimensional uncertain crack growth using limited and noisy data
Uses Software
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