A Comprehensive Review of Digital Twin - Part 1: Modeling

and Twinning Enabling Technologies

Adam Thelen1, Xiaoge Zhang2, Olga Fink3, Yan Lu4, Sayan Ghosh5, Byeng D.

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Youn6, Michael D. Todd7, Sankaran Mahadevan8, Chao Hu1* and Zhen Hu9*

1Department of Mechanical Engineering, Iowa State University, Ames, 50011, IA, USA.

2Department of Industrial and Systems Engineering, The Hong Kong Polytechnic

University, Kowloon, Hong Kong.

3Intelligent Maintenance and Operations Systems, EPFL, Lausanne, 12309, NY,

Switzerland.

4Information Modeling and Testing Group, National Institute of Standards and

Technology, Gaithersburg, 20877, MD, USA.

5Probabilistic Design and Optimization group, GE Research, Niskayuna, 12309, NY, USA.

6Department of Mechanical Engineering, Seoul National University, Gwanak-gu, 151-742,

Seoul, Republic of Korea.

7Department of Structural Engineering, University of California, San Diego, La Jolla,

92093, CA, USA.

8Department of Civil and Environmental Engineering, Vanderbilt University, Nashville,

37235, TN, USA.

9Department of Industrial and Manufacturing Systems Engineering, University of

Michigan-Dearborn, Dearborn, 48128, MI, USA.

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