A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation-Reference-Cited by-同舟云学术

A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation

Published:2020 Issue:32 Volume:16 Page:7524-7534
ISSN:1744-683X
Container-title:Soft Matter
language:en
Short-container-title:Soft Matter

Author:

Xue Tianju¹²³⁴^ORCID,Beatson Alex⁵²³⁴,Chiaramonte Maurizio⁶⁷⁴,Roeder Geoffrey⁵²³⁴,Ash Jordan T.⁵²³⁴,Menguc Yigit⁶⁷⁴,Adriaenssens Sigrid¹²³⁴,Adams Ryan P.⁵²³⁴,Mao Sheng⁸⁹¹⁰¹¹¹²^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering

2. Princeton University

3. Princeton

4. USA

5. Department of Computer Science

6. Facebook Reality Labs

7. Redmond

8. Department of Mechanics and Engineering Science

9. BIC-ESAT

10. College of Engineering

11. Peking University

12. Beijing 100871

Abstract

A novel computational scheme using neural networks is proposed to efficiently capture the nonlinear mechanics of soft metamaterials under large deformation.

Funder

Princeton University

Publisher

Royal Society of Chemistry (RSC)

Subject

Condensed Matter Physics,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/SM/D0SM00488J

Reference85 articles.

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3. Multi-material Additive Manufacturing of Metamaterials with Giant, Tailorable Negative Poisson’s Ratios