Application of neural fatigue cohesive element to R-DCB model with in-situ training strategy-Reference-Cited by-同舟云学术

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Application of neural fatigue cohesive element to R-DCB model with in-situ training strategy

Published:2024-08 Issue: Volume:306 Page:110213
ISSN:0013-7944
Container-title:Engineering Fracture Mechanics
language:en
Short-container-title:Engineering Fracture Mechanics

Author:

Tao Chongcong,Li Qian,Zhang Chao^ORCID,Ji Hongli,Qiu Jinhao

Publisher

Elsevier BV

Reference40 articles.

1. Deformation and failure of pseudo-ductile quasi-isotropic all-carbon hybrid FRPS with an open hole under tension;Sapozhnikov;Compos Part B-Eng,2022

2. Advanced robotics and additive manufacturing of composites: towards a new era in Industry 4.0;Parmar;Mater Manuf Process,2022

3. Blast behaviour of fibre reinforced polymers containing sustainable constituents;Gabriel;J Reinf Plast Compos,2022

4. Enhancement of Mode I fracture toughness properties of epoxy reinforced with graphene nanoplatelets and carbon nanotubes;Shirodkar;Compos Part B-Eng,2021

5. Sustainable and self-regulating out-of-oven manufacturing of FRPs with integrated multifunctional capabilities;Liu;Compos Sci Technol,2020

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