Development of machine learning based classifier for the pressure test result prediction of type IV composite overwrapped pressure vessels-Reference-Cited by-同舟云学术

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Development of machine learning based classifier for the pressure test result prediction of type IV composite overwrapped pressure vessels

Published:2024-03 Issue: Volume:58 Page:380-388
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Jiang Weili^ORCID,Liang Moxi,Schiebel Martin,Zaremba Swen,Drechsler Klaus

Publisher

Elsevier BV

Reference68 articles.

1. The meeting of hydrogen and automotive: a review;Gurz;Int J Hydrogen Energy,2017

2. Analysis on the mechanical response of composite pressure vessels during internal pressure loading: FE modeling and experimental correlation;Nebe;Composites B,2021

3. Hydrogen fuel cell heavy-duty trucks: Review of main research topics;de las Nieves Camacho;Int J Hydrogen Energy,2022

4. A literature review of failure prediction and analysis methods for composite high-pressure hydrogen storage tanks;Zhang;Int J Hydrogen Energy,2019

5. Prediction of long-term fatigue life of CFRP composite hydrogen storage vessel based on micromechanics of failure;Wang;Composites B,2016

Cited by 1 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. Sensors integration for structural health monitoring in composite pressure vessels: A review;Composite Structures;2025-01

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