Data-Driven Digital Twin for Estimating Response of Pipe System Subjected to Seismic Load and Arbitrary Loads

Author:

Kim Dongchang, ,Kim Gungyu,Kwag Shinyoung,Eem Seunghyun

Publisher

Earthquake Engineering Society of Korea

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

Reference23 articles.

1. Bordeleau F, Combemale B, Eramo R, van den Brand M, Wimmer M. Towards model-driven digital twin engineering: Current opportunities and future challenges. In: Systems Modelling and Management: First International Conference, ICSMM 2020, Bergen, Norway, June 25–26. 2020 Jun;43-54.

2. Lim S, Choi K, Cho G. A study on 3D model building of dronesbased urban digital twin. Journal of Cadastre & Land InformatiX [Internet]. 2020 Jun;50(1):163-180.

3. Booyse W, Wilke DN, Heyns S. Deep digital twins for detection, diagnostics and prognostics. Mechanical Systems and Signal Processing [Internet]. 2020 Jun;140:106612.

4. Kim DC, Kim GG, Kwag SY, Eem SH. Constructing a digital twin system for estimating the response of a piping system subjected to arbitrary loads. Korea Society of Civil Engineers [Internet]. 2022: 190-191.

5. Kim DC, Kim GG, Kwag SY, Eem SH. Constructing a digital twin for estimating the response and load of a piping system subjected to seismic and arbitrary loads. Smart Structures and Systems [Internet]. 2023 Mar;31(3):275-281.

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