Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

Giulio Paolo Agnusdei 1,2,* , Valerio Elia 1 and Maria Grazia Gnoni

An idea of using Digital Twin to perform the functional safety and cybersecurity analysis

Xinxin Lou1, Yun Guo 2, Yuan Gao3, Karl Waedt 4, Mithil Parekh5

Digital Twin-based Safety Evaluation of Prestressed Steel Structure

Zhansheng Liu , Wenyan Bai, Xiuli Du, Anshan Zhang, Zezhong Xing, and Antong Jiang

e Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology,

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Beijing 100124, China

Correspondence should be addressed to Zhansheng Liu; lzs4216@163.com

Received 22 June 2020; Revised 18 August 2020; Accepted 21 August 2020; Published 4 September 2020

Academic Editor: Jiang Jin

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A Methodology for Developing Digital Twins in the Manufacturing Plant

by

Hasan Habibul Latif

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A dissertation submitted to the Graduate Faculty of

North Carolina State University

in partial fulfillment of the

requirements for the Degree of

Doctor of Philosophy

Industrial Engineering

Raleigh, North Carolina

2020

APPROVED BY:

Dr. Guodong Shao

External Member

Dr. Yuan-Shin Lee

Dr. Paul Cohen Dr. Michael Kay

Dr. Binil Starly

Chair of Advisory Committee

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Probabilistic learning and updating of a digital twin for

composite material systems

Roger Ghanem, Christian Soize, Loujaine Mehrez, Venkat Aitharaju

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To cite this version:

Roger Ghanem, Christian Soize, Loujaine Mehrez, Venkat Aitharaju. Probabilistic learning and updating

of a digital twin for composite material systems. International Journal for Numerical Methods

in Engineering, Wiley, 2020, On line, pp.1-21. ￿10.1002/nme.6430￿. ￿hal-02640409￿

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Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line

Qingcai Wu 1,2,3, Yunsheng Mao 1,2, Jianxun Chen 3 and Chong Wang