Frequency-based Data-driven Surrogate Model for Efficient Prediction of Irregular Structure’s Seismic Responses
| Autor(en): |
Hoang Dang-Vu
(Department of Architectural Engineering, Deep Learning Architecture Research Center, Sejong University, Seoul, Republic of Korea)
Quang Dang Nguyen (Centre for Complex Systems, Faculty of Engineering, University of Sydney, Sydney, Australia) TaeChoong Chung (Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea) Jiuk Shin (Department of Architectural Engineering, Gyeongsang National University, Jinju, South Korea) Kihak Lee (Department of Architectural Engineering, Deep Learning Architecture Research Center, Sejong University, Seoul, Republic of Korea) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Journal of Earthquake Engineering, November 2021, n. 14, v. 26 |
| Seite(n): | 1-18 |
| DOI: | 10.1080/13632469.2021.1961940 |
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Datenseite - Reference-ID
10624758 - Veröffentlicht am:
26.08.2021 - Geändert am:
10.12.2022
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