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Data-Driven and Diversity-Enhanced Design of Heterogeneous Multiscale Structures

Description:

The advent of metamaterials—hierarchical structures that manifest properties beyond those found in nature through geometry rather than material composition—inspired new possibilities and research in many fields. In mechanics, periodic metamaterials exhibit behaviors ranging from unprecedented compressibility to extreme stiffness. Numerous geometric classes of metamaterials with these properties have been discovered,...

Keyword:

Design representation, Deep learning, Design synthesis, Multiscale topology optimization, Data-driven design, and Data acquisition

Subject:

Design, Mechanical engineering, and Computer science

Creator:

Chan, Yu-Chin

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

09/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16251 and etdadmin_upload_928694