A Simplified Approach to Accessing Earthquake-Induced Debris from Collapse of RC Frame Structures
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Bibliografische Angaben
| Autor(en): |
Al-Amina
(Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China.)
Md Sohel Rana (Department of bridge Engineering, Tongji University, Shanghai, China) Rana Md Masuda (Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China.) Das Sumon Chandra (Department of Structural Engineering, Tongji University, Shanghai, China) Al Amin Sarder (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China; Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China.) |
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| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024 | ||||
| Veröffentlicht in: | IABSE Congress San José 2024 | ||||
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| Seite(n): | 283-291 | ||||
| Anzahl der Seiten (im PDF): | 9 | ||||
| DOI: | 10.2749/sanjose.2024.0283 | ||||
| Abstrakt: |
It is widely acknowledged that earthquakes can cause significant destruction to buildings, and there is typically a large amount of debris that may impede transportation and delay the arrival of assistance if the collapsed buildings were linked to road networks. This study evaluates the debris extent from the collapse of intermediate RC frame structures through numerical simulations. Three Intermediate RC structures are selected to find the potential debris extent around the original envelope. Twenty-three ground motion records are applied to investigate the different collapse patterns of the structures. The results show that the building may face four types of collapse: positive and negative aligned and skewed. Furthermore, a relation between debris extent and probability of exceedance based on the median and variance values has been proposed. This study is of great importance to create an interdisciplinary approach to assessing the earthquake resilience of a street network. |
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