Data-Driven Computational Homogenization Method Based on Euclidean Bipartite Matching-Reference-Cited by-同舟云学术

Data-Driven Computational Homogenization Method Based on Euclidean Bipartite Matching

Published:2020-02 Issue:2 Volume:146 Page:04019132
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Karakoç Alp¹^ORCID,Paltakari Jouni²,Taciroglu Ertugrul³

Affiliation:

1. Postdoctoral Researcher, Dept. of Civil and Environment Engineering, Univ. of California Los Angeles, Los Angeles 90095, CA (corresponding author). ORCID: .

2. Professor, Dept. of Bioproducts and Biosystems, Aalto Univ., Aalto FI-00076, Finland.

3. Professor, Dept. of Civil and Environment Engineering, Univ. of California Los Angeles, Los Angeles 90095, CA.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001708

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5. Smooth surfaces for multi-scale shape representation

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