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Quantitative Wind Risk Assessment for Low and Mid-Rise Apartment Buildings Based on a Probabilistic Model
This study develops a risk assessment model and evaluates wind risk to predict typhoon-induced damage. A wind risk assessment model was developed using the convolution of a wind hazard model and a wind fragility model, and both models were developed using the Monte Carlo simulation based on probabil...
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Published in: | Journal of Asian architecture and building engineering 2018-05, Vol.17 (2), p.377-384 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This study develops a risk assessment model and evaluates wind risk to predict typhoon-induced damage. A wind risk assessment model was developed using the convolution of a wind hazard model and a wind fragility model, and both models were developed using the Monte Carlo simulation based on probability theory. Wind risk was quantitatively evaluated using the window system and part of the exterior materials installed in low and mid-rise apartments. Wind risk was compared according to regional (namely Busan, Daegu, Daejeon, and Seoul), geomorphological (namely topographic factor and exposure category), and morphological factors of buildings (height, roof tilt angle, and number of housing units) in order to evaluate relative influence. By employing the risk assessment model this study compared 432 wind risks and found that the most influential factor was exposure category, followed by the topographic coefficient, building height, target site of assessment, roof tilt angle, and number of housing units (in that order). The wind risk assessment model in this study could be used as basic data for the estimation of damage driven by wind and for the establishment of damage reduction measures, combined with the economic value of apartment buildingsā² exterior materials and interior contents. |
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ISSN: | 1346-7581 1347-2852 |
DOI: | 10.3130/jaabe.17.377 |