Incremental Neural Controlled Differential Equations for modeling of path-dependent material behavior-Reference-Cited by-同舟云学术

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Incremental Neural Controlled Differential Equations for modeling of path-dependent material behavior

Published:2024-03 Issue: Volume:422 Page:116789
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

He Yangzi^ORCID,Semnani Shabnam J.

Funder

Office of Naval Research

Publisher

Elsevier BV

Reference64 articles.

1. A state-of-the-art review on machine learning-based multiscale modeling, simulation, homogenization and design of materials;Bishara;Arch. Comput. Methods Eng.,2023

2. An inelastic homogenization framework for layered materials with planes of weakness;Semnani;Comput. Methods Appl. Mech. Engrg.,2020

3. An anisotropic viscoplasticity model for shale based on layered microstructure homogenization;Choo;Int. J. Numer. Anal. Methods Geomech.,2021

4. Data-driven multiscale modeling in mechanics;Karapiperis;J. Mech. Phys. Solids,2021

5. Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network;Ghavamian;Comput. Methods Appl. Mech. Engrg.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A thermodynamics-informed neural network for elastoplastic constitutive modeling of granular materials;Computer Methods in Applied Mechanics and Engineering;2024-10

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