Voids identification by isogeometric boundary element and neural network algorithms-Reference-Cited by-同舟云学术

Voids identification by isogeometric boundary element and neural network algorithms

Published:2022-10 Issue: Volume:231 Page:107538
ISSN:0020-7403
Container-title:International Journal of Mechanical Sciences
language:en
Short-container-title:International Journal of Mechanical Sciences

Author:

Di Giacinto D.,Musone V.,Ruocco E.^ORCID

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Civil and Structural Engineering

Reference82 articles.

1. Damage identification for beams using ANN based on statistical property of structural responses;Li;Comput Struct,2008

2. A comparison of geometric imperfection models for collapse analysis of ship-type stiffened plated grillages;Li;Eng Struct,2022

3. Sensitivity of elastic thin-walled rectangular hollow section struts to manufacturing tolerance level imperfections;Shen;Eng Struct,2018

4. Modelling imperfections in unreinforced masonry structures: Discrete element simulations and scale model experiments of a pavilion vault;Dell’Endice;Eng Struct,2021

5. Elastic properties of solid material with various arrangements of spherical voids;Heitkam;Eur J Mech A Solids,2016

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