Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami
<p>Tsunami fragility functions describe the probability of structural damage due to tsunami flow characteristics. Fragility functions developed from past tsunami events (e.g., the 2004 Indian Ocean tsunami) are often applied directly, without modification, to other areas at risk of tsunami for...
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Format: | Article |
Language: | English |
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Copernicus Publications
2019-08-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://www.nat-hazards-earth-syst-sci.net/19/1807/2019/nhess-19-1807-2019.pdf |
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author | A. Suppasri K. Pakoksung I. Charvet C. T. Chua N. Takahashi T. Ornthammarath P. Latcharote N. Leelawat F. Imamura |
author_facet | A. Suppasri K. Pakoksung I. Charvet C. T. Chua N. Takahashi T. Ornthammarath P. Latcharote N. Leelawat F. Imamura |
author_sort | A. Suppasri |
collection | DOAJ |
description | <p>Tsunami fragility functions describe the probability of structural damage due to tsunami flow characteristics. Fragility functions developed from past
tsunami events (e.g., the 2004 Indian Ocean tsunami) are often applied directly,
without modification, to other areas at risk of tsunami for the purpose of
damage and loss estimations. Consequentially, estimates carry uncertainty
due to disparities in construction standards and coastal morphology between
the specific region for which the fragility functions were originally
derived and the region where they are being used. The main objective of
this study is to provide an alternative approach to assessing tsunami
damage, especially for buildings in regions where previously developed
fragility functions do not exist. A damage assessment model is proposed in
this study, where load-resistance analysis is performed for each building by evaluating hydrodynamic forces, buoyancies and debris impacts and comparing them to the resistance forces of each building. Numerical simulation was performed in this study to reproduce the 2011 Great East Japan tsunami in Ishinomaki, which is chosen as a study site. Flow depths and velocities were calculated for approximately 20 000 wooden buildings in Ishinomaki. Similarly, resistance forces (lateral and vertical) are estimated for each of these buildings. The buildings are then evaluated for their potential of collapsing. Results from this study reflect a higher accuracy in predicting building collapse when using the proposed load-resistance analysis, as compared to previously developed fragility functions in the same study area. Damage is also observed to have likely occurred before flow depth and velocity reach maximum values. With the above considerations, the proposed damage model might well be an alternative for building damage assessments in areas that have yet to be affected by modern tsunami events.</p> |
first_indexed | 2024-12-24T13:00:06Z |
format | Article |
id | doaj.art-70068e4126174f968f902d995a6a4a95 |
institution | Directory Open Access Journal |
issn | 1561-8633 1684-9981 |
language | English |
last_indexed | 2024-12-24T13:00:06Z |
publishDate | 2019-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Natural Hazards and Earth System Sciences |
spelling | doaj.art-70068e4126174f968f902d995a6a4a952022-12-21T16:54:11ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812019-08-01191807182210.5194/nhess-19-1807-2019Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunamiA. Suppasri0K. Pakoksung1I. Charvet2C. T. Chua3N. Takahashi4T. Ornthammarath5P. Latcharote6N. Leelawat7F. Imamura8International Research Institute of Disaster Science, Tohoku University, 468-1 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-0845, JapanInternational Research Institute of Disaster Science, Tohoku University, 468-1 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-0845, JapanDepartment of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UKAsian School of the Environment, Nanyang Technological University, N2-01C-39, 50 Nanyang Avenue, 639798, SingaporeDepartment of Architecture and Building Science, School of Engineering, Tohoku University, 6-6-11-1223 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-8579, JapanDepartment of Civil and Environmental Engineering, Faculty of Engineering, Mahidol University, 25/25 Puttamonthon, Nakorn Pathom, 73170, ThailandFaculty of Science and Technology, Thammasat University, 99 Moo 18, Phaholyothin Road, Tambon Klong Nung, Amphoe Klong Luang, Pathum Thani, 12120, ThailandDisaster and Risk Management Information Systems Research Group, Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, ThailandInternational Research Institute of Disaster Science, Tohoku University, 468-1 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-0845, Japan<p>Tsunami fragility functions describe the probability of structural damage due to tsunami flow characteristics. Fragility functions developed from past tsunami events (e.g., the 2004 Indian Ocean tsunami) are often applied directly, without modification, to other areas at risk of tsunami for the purpose of damage and loss estimations. Consequentially, estimates carry uncertainty due to disparities in construction standards and coastal morphology between the specific region for which the fragility functions were originally derived and the region where they are being used. The main objective of this study is to provide an alternative approach to assessing tsunami damage, especially for buildings in regions where previously developed fragility functions do not exist. A damage assessment model is proposed in this study, where load-resistance analysis is performed for each building by evaluating hydrodynamic forces, buoyancies and debris impacts and comparing them to the resistance forces of each building. Numerical simulation was performed in this study to reproduce the 2011 Great East Japan tsunami in Ishinomaki, which is chosen as a study site. Flow depths and velocities were calculated for approximately 20 000 wooden buildings in Ishinomaki. Similarly, resistance forces (lateral and vertical) are estimated for each of these buildings. The buildings are then evaluated for their potential of collapsing. Results from this study reflect a higher accuracy in predicting building collapse when using the proposed load-resistance analysis, as compared to previously developed fragility functions in the same study area. Damage is also observed to have likely occurred before flow depth and velocity reach maximum values. With the above considerations, the proposed damage model might well be an alternative for building damage assessments in areas that have yet to be affected by modern tsunami events.</p>https://www.nat-hazards-earth-syst-sci.net/19/1807/2019/nhess-19-1807-2019.pdf |
spellingShingle | A. Suppasri K. Pakoksung I. Charvet C. T. Chua N. Takahashi T. Ornthammarath P. Latcharote N. Leelawat F. Imamura Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami Natural Hazards and Earth System Sciences |
title | Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami |
title_full | Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami |
title_fullStr | Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami |
title_full_unstemmed | Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami |
title_short | Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami |
title_sort | load resistance analysis an alternative approach to tsunami damage assessment applied to the 2011 great east japan tsunami |
url | https://www.nat-hazards-earth-syst-sci.net/19/1807/2019/nhess-19-1807-2019.pdf |
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