Design of ultra-thin shell structures in the stochastic post-buckling range using Bayesian machine learning and optimization

Title
Design of ultra-thin shell structures in the stochastic post-buckling range using Bayesian machine learning and optimization
Authors
Keywords
Ultra-thin composites, Buckling, Post-buckling, Design charts, Data mining, Heteroscedastic Gaussian process, Evolutionary optimization
Journal
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
Volume 139-140, Issue -, Pages 174-188
Publisher
Elsevier BV
Online
2018-02-08
DOI
10.1016/j.ijsolstr.2018.01.035

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started