Transfer learning enhanced nonlocal energy-informed neural network for quasi-static fracture in rock-like materials-Reference-Cited by-同舟云学术

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Transfer learning enhanced nonlocal energy-informed neural network for quasi-static fracture in rock-like materials

Published:2024-10 Issue: Volume:430 Page:117226
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:

Zhou Xiao-Ping,Yu Xiang-Long^ORCID

Funder

Natural Science Foundation of Chongqing Municipality

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference55 articles.

1. A data-driven bond-based peridynamic model derived from group method of data handling neural network with genetic algorithm;Yu;Int. J. Numer. Methods Eng.,2022

2. Machine learning approaches to rock fracture mechanics problems: mode-I fracture toughness determination;Wang;Eng. Fract. Mech.,2021

3. Convolutional neural networks prediction of the factor of safety of random layered slopes by the strength reduction method;Soranzo;Acta Geotech.,2023

4. An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction;Kautz;Mater. Charact.,2020

5. A data-driven shock capturing approach for discontinuous Galekin methods;Yu;Comput. Fluids,2022

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