A data‐driven framework for evolutionary problems in solid mechanics

DOI10.1002/zamm.202100538OpenAlexW4309268644MaRDI QIDQ6121211

Thorsten Bartel, Klaas Hendrik Poelstra, Ben Schweizer

Publication date: 26 March 2024

Published in: ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/zamm.202100538

Mathematics Subject Classification ID

Numerical and other methods in solid mechanics (74Sxx) Partial differential equations of mathematical physics and other areas of application (35Qxx) Elastic materials (74Bxx)

Cites Work

• Data-driven problems in elasticity
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• Data-driven fracture mechanics
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• Accelerating the distance-minimizing method for data-driven elasticity with adaptive hyperparameters
• Data-driven finite elasticity
• Variational framework for distance-minimizing method in data-driven computational mechanics
• Data driven computing with noisy material data sets
• A new reliability-based data-driven approach for noisy experimental data with physical constraints
• Data-based derivation of material response
• Model-free data-driven methods in mechanics: material data identification and solvers
• Mixed-integer programming formulation of a data-driven solver in computational elasticity
• Data-driven computational mechanics
• Partial differential equations. An application-oriented introduction
• Introduction

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