Failure prediction and optimization for composite pressure vessel combining FEM simulation and machine learning approach

Wang, Qingfeng; Qin, Huasong; Jia, Liyong; Li, Ziyi; Zhang, Guoqiang; Li, Yushu; Liu, Yilun

doi:10.1016/j.compstruct.2024.118099

Composite Structures

2024

DOI: 10.1016/j.compstruct.2024.118099

|View full text |Cite

Failure prediction and optimization for composite pressure vessel combining FEM simulation and machine learning approach

Qingfeng Wang,

Huasong Qin,

Liyong Jia

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Review on onshore and offshore large-scale seasonal hydrogen storage for electricity generation: Focusing on improving compression, storage, and roundtrip efficiency

Adams,

Wadge,

Sheppard

et al. 2024

International Journal of Hydrogen Energy

View full text Add to dashboard Cite

Review on onshore and offshore large-scale seasonal hydrogen storage for electricity generation: Focusing on improving compression, storage, and roundtrip efficiency

Adams,

Wadge,

Sheppard

et al. 2024

International Journal of Hydrogen Energy

View full text Add to dashboard Cite

A comprehensive review of water entry/exit of lifeboats and occupant safety

Wang,

Fan,

Liang

et al. 2024

Ocean Engineering

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Failure prediction and optimization for composite pressure vessel combining FEM simulation and machine learning approach

Cited by 2 publications

References 74 publications

Review on onshore and offshore large-scale seasonal hydrogen storage for electricity generation: Focusing on improving compression, storage, and roundtrip efficiency

Review on onshore and offshore large-scale seasonal hydrogen storage for electricity generation: Focusing on improving compression, storage, and roundtrip efficiency

A comprehensive review of water entry/exit of lifeboats and occupant safety

Contact Info

Product

Resources

About