A deep transfer learning approach to construct the allowable load space of notched composite laminates-Reference-Cited by-同舟云学术

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A deep transfer learning approach to construct the allowable load space of notched composite laminates

Published:2024-03 Issue: Volume:247 Page:110432
ISSN:0266-3538
Container-title:Composites Science and Technology
language:en
Short-container-title:Composites Science and Technology

Author:

Li Yushu,Qin Huasong^ORCID,Tan V.B.C.^ORCID,Jia Liyong^ORCID,Liu Yilun

Publisher

Elsevier BV

Reference38 articles.

1. Composite Materials for Aircraft Structures;Baker,2016

2. Validation and development of trace-based approach for composite laminates;Jia;Compos. Sci. Technol.,2022

3. An invariant-based theory of composites;Tsai;Compos. Sci. Technol.,2014

4. Design allowables of composite laminates: a review;Cumbo;J. Compos. Mater.,2022

5. Polymer matrix composites-materials usage, design and analysis;Department of Defense,2002

Cited by 4 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. Dynamic data driven load-carrying capacity prediction method for composite laminates with delamination;Mechanical Systems and Signal Processing;2025-01

2. Multimodal data fusion enhanced deep learning prediction of crack path segmentation in CFRP composites;Composites Science and Technology;2024-10

3. A review on machine learning implementation for predicting and optimizing the mechanical behaviour of laminated fiber-reinforced polymer composites;Heliyon;2024-07

4. Description of Mesoscale Static and Fatigue Analysis of 2D Woven Roving Plates with Convex Holes Subjected to Axial Tension;Computation;2024-06-13

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