Finite element solver for data-driven finite strain elasticity
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Publication:2021912
DOI10.1016/j.cma.2021.113756zbMath1506.74430OpenAlexW3137640456MaRDI QIDQ2021912
Auriane Platzer, Michael Ortiz, Laurent Stainier, Adrien Leygue
Publication date: 27 April 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2021.113756
Classical linear elasticity (74B05) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30)
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Uses Software
Cites Work
- Unnamed Item
- Data-driven problems in elasticity
- Machine learning strategies for systems with invariance properties
- A manifold learning approach to data-driven computational elasticity and inelasticity
- Model-free data-driven inelasticity
- Model-free data-driven computational mechanics enhanced by tensor voting
- Data-driven fracture mechanics
- Data-driven finite elasticity
- Variational framework for distance-minimizing method in data-driven computational mechanics
- A framework for data-driven structural analysis in general elasticity based on nonlinear optimization: the static case
- A physics-constrained data-driven approach based on locally convex reconstruction for noisy database
- Data-driven multiscale finite element method: from concurrence to separation
- Data driven computing with noisy material data sets
- Data-based derivation of material response
- Model-free data-driven methods in mechanics: material data identification and solvers
- Non-parametric material state field extraction from full field measurements
- Mixed-integer programming formulation of a data-driven solver in computational elasticity
- Data-driven computational mechanics
- Computational homogenization of nonlinear elastic materials using neural networks
- Multidimensional binary search trees used for associative searching
- Numerical implementation of a neural network based material model in finite element analysis
- Nonlinear Solid Mechanics for Finite Element Analysis: Statics
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