Data-driven and topological design of structural metamaterials for fracture resistance

Daicong Da; Yu Chin Chan; Liwei Wang; Wei Chen

doi:10.1016/j.eml.2021.101528

Data-driven and topological design of structural metamaterials for fracture resistance

Daicong Da, Yu Chin Chan, Liwei Wang, Wei Chen^*

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Data science as a promising paradigm provides novel and diverse opportunities for structural metamaterials attaining exceptional mechanical properties. It is demonstrated here that porous structures composed of brittle constitutive materials can be strong and tough through topological optimization and data-driven techniques. We show that brittle fracture properties can be tailored through the linear control of the homogenized stress and non-periodic microstructures from a multiscale perspective. These tough advanced structural metamaterials pave the way to multiscale components with exceptional fracture resistance.

Original language	English (US)
Article number	101528
Journal	Extreme Mechanics Letters
Volume	50
DOIs	https://doi.org/10.1016/j.eml.2021.101528
State	Published - Jan 2022

Keywords

Brittle fracture
Data-driven methods
Stress
Structural metamaterials
Topological design

ASJC Scopus subject areas

Bioengineering
Chemical Engineering (miscellaneous)
Engineering (miscellaneous)
Mechanics of Materials
Mechanical Engineering

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10.1016/j.eml.2021.101528

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title = "Data-driven and topological design of structural metamaterials for fracture resistance",

abstract = "Data science as a promising paradigm provides novel and diverse opportunities for structural metamaterials attaining exceptional mechanical properties. It is demonstrated here that porous structures composed of brittle constitutive materials can be strong and tough through topological optimization and data-driven techniques. We show that brittle fracture properties can be tailored through the linear control of the homogenized stress and non-periodic microstructures from a multiscale perspective. These tough advanced structural metamaterials pave the way to multiscale components with exceptional fracture resistance.",

keywords = "Brittle fracture, Data-driven methods, Stress, Structural metamaterials, Topological design",

author = "Daicong Da and Chan, {Yu Chin} and Liwei Wang and Wei Chen",

note = "Funding Information: We gratefully acknowledge the financial support of the NSF CSSI program (Grant No. OAC 1835782 ). Yu-Chin Chan thanks the NSF Graduate Research Fellowship (Grant No. DGE-1842165 ). Publisher Copyright: {\textcopyright} 2021",

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AU - Da, Daicong

AU - Chan, Yu Chin

AU - Wang, Liwei

AU - Chen, Wei

N1 - Funding Information: We gratefully acknowledge the financial support of the NSF CSSI program (Grant No. OAC 1835782 ). Yu-Chin Chan thanks the NSF Graduate Research Fellowship (Grant No. DGE-1842165 ). Publisher Copyright: © 2021

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N2 - Data science as a promising paradigm provides novel and diverse opportunities for structural metamaterials attaining exceptional mechanical properties. It is demonstrated here that porous structures composed of brittle constitutive materials can be strong and tough through topological optimization and data-driven techniques. We show that brittle fracture properties can be tailored through the linear control of the homogenized stress and non-periodic microstructures from a multiscale perspective. These tough advanced structural metamaterials pave the way to multiscale components with exceptional fracture resistance.

AB - Data science as a promising paradigm provides novel and diverse opportunities for structural metamaterials attaining exceptional mechanical properties. It is demonstrated here that porous structures composed of brittle constitutive materials can be strong and tough through topological optimization and data-driven techniques. We show that brittle fracture properties can be tailored through the linear control of the homogenized stress and non-periodic microstructures from a multiscale perspective. These tough advanced structural metamaterials pave the way to multiscale components with exceptional fracture resistance.

KW - Brittle fracture

KW - Data-driven methods

KW - Stress

KW - Structural metamaterials

KW - Topological design

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JF - Extreme Mechanics Letters

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ER -

Data-driven and topological design of structural metamaterials for fracture resistance

Abstract

Keywords

ASJC Scopus subject areas

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