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Estimating losses and downtime in high-rise buildings in Bangkok due to long distance earthquakes using a component-based methodology | |
Author | Kanokwan Artudorn |
Call Number | AIT Thesis no.ST-16-08 |
Subject(s) | Earthquake resistant design Tall buildings--Earthquake effects Seismic prospecting |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. ST-16-08 |
Abstract | Bangkok is still at risk of damaging earthquake ground motion and the earthquake situation of Bangkok is in faithless condition. Many previous long distance earthquakes can cause people in Bangkok frightened, especially in high-rise building. These earthquake scenarios are the important warning for Bangkok that the city still at risk of suffering from large earthquakes than previous earthquakes in the future. Moreover, there are few studies about high rise building performance due to long distance earthquakes and few earthquake disaster preventions and mitigation plans in Thailand. However, if large earthquake occur near Bangkok in the reality without preparedness, it may cause considerable impacts to high-rise buildings in Bangkok such as building damage, loss of life and business interruptions. Especially the economic loss from non-structural component damage because the most of building components are nonstructural components and the nonstructural features are usually more seismically fragile than the structural component. Therefore, building performance assessment in terms of losses and downtime is one preparedness procedure that should be done by stakeholders to cope with an earthquake. This study aims to assess the performance of three residential high-rise buildings in Bangkok due to long-distance earthquakes by using a component-based loss estimation method which is the new framework considering all of building components damage and losses from these components. Earthquake scenarios used in performance assessment are the long-distance earthquakes with a return period of 2500 years with different natural time period which can occur in reality in the future. This study focuses on non-collapse case and non-structural component responses. Finally, building performance are presented in terms of direct economic loss associated with repairing damage within a building, direct social loss associated with life loss and severe injury, and downtime. The results shows that although these three buildings were subjected to long-distance earthquake in the Maximum Considered Earthquake (MCE) hazard earthquake level with different types of natural time period earthquake, the direct economic loss associated with repairing damage within a building deemed low which ranging from 1 to 6% of initial building’s replacement cost considering from construction cost per area. And, it seems to be repairable. Moreover, direct social loss associated with loss of lives and serious injuries of each building deemed low ranging from 0-1, 0-4 people respectively. Downtime for 21-story building, 33-story building and 44-story building are ranged from 2.3 to 5.1, 2.9 to 6.3 and 2.5 to 5.2 months respectively. Finally, downtime was used to estimate monetary loss from business interruption. The results showed that indirect economic loss from malfunction building was higher than direct economic loss associated with repairing damage within a building. |
Year | 2016 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ST-16-08 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Civil and Infrastucture Engineering (DCIE) |
Academic Program/FoS | Structural Engineering (STE) /Former Name = Structural Engineering and Construction (ST) |
Chairperson(s) | Pennung Warnitchai; |
Examination Committee(s) | Thanakorn PheeraphanAnwar, Naveed; |
Scholarship Donor(s) | Royal Thai Government Fellowship; |
Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2016 |