Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains
| Autor(en): |
Jaebeom Lee
(Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea)
Seunghoo Jeong (Advanced Railroad Civil Engineering Division, Korea Railroad Research Institute, Uiwang, Republic of Korea) Junhwa Lee (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea) Sung-Han Sim 
(School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Seoul, Republic of Korea)
Kyoung-Chan Lee (Department of Civil, Railroad and Unmanned Systems Engineering, Pai Chai University, Daejeon, Republic of Korea) Young-Joo Lee
(Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea)
|
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring, März 2022, n. 6, v. 21 |
| Seite(n): | 147592172110634 |
| DOI: | 10.1177/14759217211063424 |
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10648647 - Veröffentlicht am:
07.01.2022 - Geändert am:
10.12.2022
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