Rapid prediction for deflection history of CFRP beams during curing using LSTM network and its application to stacking sequence optimization with genetic algorithm-Reference-Cited by-同舟云学术

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Rapid prediction for deflection history of CFRP beams during curing using LSTM network and its application to stacking sequence optimization with genetic algorithm

Published:2024-07 Issue: Volume:182 Page:108195
ISSN:1359-835X
Container-title:Composites Part A: Applied Science and Manufacturing
language:en
Short-container-title:Composites Part A: Applied Science and Manufacturing

Author:

Feng Yuncong,Han Zhibin,Liu Meiyu,Zheng Weike^ORCID,Liang Biao,Xiong Yifeng,Zhang Weizhao

Funder

Research Grants Council, University Grants Committee

Publisher

Elsevier BV

Reference35 articles.

1. Dynamic failure of 3D printed negative-stiffness meta-sandwich structures under repeated impact loadings;Gan;Compos Sci Technol,2023

2. Effect of drilling process parameters on bearing strength of glass fiber/aluminum mesh reinforced epoxy composites;Seif;Sci Rep,2023

3. A three-dimensional thermo-viscoelastic analysis of process-induced residual stress in composite laminates;Ding;Compos Struct,2015

4. Numerical analysis of cure temperature and internal stresses in thin and thick RTM parts;Ruiz;Compos A Appl Sci Manuf,2005

5. Study on cure-induced residual stresses and spring-in deformation of L-shaped composite laminates using a simplified constitutive model considering stress relaxation;Liu;Compos Struct,2021

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