Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks

标题
Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks
作者
关键词
Laminated composites, Reduced-order modeling, Hyper-reduction, Artificial neural networks
出版物
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
Volume 82, Issue -, Pages 103995
出版商
Elsevier BV
发表日期
2020-03-31
DOI
10.1016/j.euromechsol.2020.103995

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

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

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search