Recognition and optimisation method of impact deformation patterns based on point cloud and deep clustering: Applied to thin-walled tubes-Reference-Cited by-同舟云学术

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Recognition and optimisation method of impact deformation patterns based on point cloud and deep clustering: Applied to thin-walled tubes

Published:2024-07 Issue: Volume:40 Page:100607
ISSN:2452-414X
Container-title:Journal of Industrial Information Integration
language:en
Short-container-title:Journal of Industrial Information Integration

Author:

Yang Chengxing,Li Zhaoyang^ORCID,Xu Ping,Huang Huichao

Publisher

Elsevier BV

Reference66 articles.

1. Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques;Kazi;Compos. Struct.,2022

2. Transfer learning-based crashworthiness prediction for the composite structure of a subway vehicle;Yang;Int. J. Mech. Sci.,2023

3. A review of the crashworthiness performance of energy absorbing composite structure within the context of materials, manufacturing and maintenance for sustainability;Isaac;Compos. Struct.,2021

4. In-plane energy absorption characteristics and mechanical properties of novel re-entrant honeycombs;Deng;Compos. Struct.,2023

5. Crashworthiness optimization for cutting energy-absorbing structures based on the multiobjective G-CBW method;Guo;Alex. Eng. J.,2023

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