Efficient Deep Learning for Gradient-Enhanced Stress Dependent Damage Model

Efficient Deep Learning for Gradient-Enhanced Stress Dependent Damage Model

This manuscript introduces a computational approach to micro-damage problems using deep learning for the prediction of loading deflection curves. The location of applied forces, dimensions of the specimen and material parameters are used as inputs of the process. The micro-damage is modelled with a...

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Bibliographic Details
Main Authors:	Xiaoying Zhuang, L. C. Nguyen, Hung Nguyen-Xuan, Naif Alajlan, Timon Rabczuk
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Series:	Applied Sciences
Subjects:	deep neural network deep learning gradient enhanced damage stress-level dependent damage model
Online Access:	https://www.mdpi.com/2076-3417/10/7/2556

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