Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1807-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1807-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami
Anawat Suppasri
CORRESPONDING AUTHOR
International Research Institute of Disaster Science, Tohoku
University, 468-1 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-0845, Japan
Kwanchai Pakoksung
International Research Institute of Disaster Science, Tohoku
University, 468-1 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-0845, Japan
Ingrid Charvet
Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK
Constance Ting Chua
Asian School of the Environment, Nanyang Technological University, N2-01C-39, 50 Nanyang Avenue, 639798, Singapore
Noriyuki Takahashi
Department of Architecture and Building Science, School of
Engineering, Tohoku University, 6-6-11-1223 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-8579, Japan
Teraphan Ornthammarath
Department of Civil and Environmental Engineering, Faculty of
Engineering, Mahidol University, 25/25 Puttamonthon, Nakorn Pathom, 73170, Thailand
Panon Latcharote
Faculty of Science and Technology, Thammasat University, 99 Moo 18, Phaholyothin Road, Tambon Klong Nung, Amphoe Klong Luang, Pathum Thani, 12120, Thailand
Natt Leelawat
Disaster and Risk Management Information Systems Research Group,
Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand
Fumihiko Imamura
International Research Institute of Disaster Science, Tohoku
University, 468-1 Aramaki-aza Aoba, Aoba-ku, Sendai, 980-0845, Japan
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Cited
17 citations as recorded by crossref.
- Quantifying tsunami impact on industrial facilities and production capacity in ports: An application to Sendai Port, Japan A. Suppasri et al. 10.1016/j.ijdrr.2022.103141
- ANALYSIS OF BUILDING DAMAGE CAUSED BY TSUNAMI AND DEVELOPMENT OF TSUNAMI FRAGILITY CURVES CONSIDERING THE BUILDING AGE R. MIYAMOTO et al. 10.2208/kaigan.76.2_I_709
- Characteristics of Tsunami Fragility Functions Developed Using Different Sources of Damage Data from the 2018 Sulawesi Earthquake and Tsunami E. Mas et al. 10.1007/s00024-020-02501-4
- Up-Floating Destruction and Reinforcement Measures of Damaged Basement Based on the Bending Moment and Deformation Analysis Z. Wu et al. 10.3390/buildings13081918
- Cascading disasters triggered by tsunami hazards: A perspective for critical infrastructure resilience and disaster risk reduction A. Suppasri et al. 10.1016/j.ijdrr.2021.102597
- Estimation of human damage and economic loss of buildings related to tsunami inundation in the city of Augusta, Italy G. Pagnoni et al. 10.1144/SP501-2019-134
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique V. M et al. 10.1109/ACCESS.2023.3247499
- Tsunami Vulnerability Criteria for Fishery Port Facilities in Japan K. Imai et al. 10.3390/geosciences9100410
- Evaluating building exposure and economic loss changes after the 2009 South Pacific Tsunami R. Paulik et al. 10.1016/j.ijdrr.2021.102131
- Tsunami damage to ports: cataloguing damage to create fragility functions from the 2011 Tohoku event C. Chua et al. 10.5194/nhess-21-1887-2021
- The 22 December 2018 Mount Anak Krakatau volcanogenic tsunami on Sunda Strait coasts, Indonesia: tsunami and damage characteristics M. Luthfi et al. 10.5194/nhess-20-549-2020
- The Sendai Framework for Disaster Risk Reduction at Five: Lessons from the 2011 Great East Japan Earthquake and Tsunami E. Maly & A. Suppasri 10.1007/s13753-020-00268-9
- Optimal probabilistic placement of facilities using a surrogate model for 3D tsunami simulations K. Tozato et al. 10.5194/nhess-23-1891-2023
- Predictive Analysis of the Building Damage From the 2011 Great East Japan Tsunami Using Decision Tree Classification Related Algorithms K. Saengtabtim et al. 10.1109/ACCESS.2021.3060114
- Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru J. Gomez-Zapata et al. 10.5194/nhess-21-3599-2021
- Tsunami hazard evaluation of river embankment structures incorporating their vulnerability to seismic strong motion K. Imai et al. 10.1177/87552930241237815
17 citations as recorded by crossref.
- Quantifying tsunami impact on industrial facilities and production capacity in ports: An application to Sendai Port, Japan A. Suppasri et al. 10.1016/j.ijdrr.2022.103141
- ANALYSIS OF BUILDING DAMAGE CAUSED BY TSUNAMI AND DEVELOPMENT OF TSUNAMI FRAGILITY CURVES CONSIDERING THE BUILDING AGE R. MIYAMOTO et al. 10.2208/kaigan.76.2_I_709
- Characteristics of Tsunami Fragility Functions Developed Using Different Sources of Damage Data from the 2018 Sulawesi Earthquake and Tsunami E. Mas et al. 10.1007/s00024-020-02501-4
- Up-Floating Destruction and Reinforcement Measures of Damaged Basement Based on the Bending Moment and Deformation Analysis Z. Wu et al. 10.3390/buildings13081918
- Cascading disasters triggered by tsunami hazards: A perspective for critical infrastructure resilience and disaster risk reduction A. Suppasri et al. 10.1016/j.ijdrr.2021.102597
- Estimation of human damage and economic loss of buildings related to tsunami inundation in the city of Augusta, Italy G. Pagnoni et al. 10.1144/SP501-2019-134
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique V. M et al. 10.1109/ACCESS.2023.3247499
- Tsunami Vulnerability Criteria for Fishery Port Facilities in Japan K. Imai et al. 10.3390/geosciences9100410
- Evaluating building exposure and economic loss changes after the 2009 South Pacific Tsunami R. Paulik et al. 10.1016/j.ijdrr.2021.102131
- Tsunami damage to ports: cataloguing damage to create fragility functions from the 2011 Tohoku event C. Chua et al. 10.5194/nhess-21-1887-2021
- The 22 December 2018 Mount Anak Krakatau volcanogenic tsunami on Sunda Strait coasts, Indonesia: tsunami and damage characteristics M. Luthfi et al. 10.5194/nhess-20-549-2020
- The Sendai Framework for Disaster Risk Reduction at Five: Lessons from the 2011 Great East Japan Earthquake and Tsunami E. Maly & A. Suppasri 10.1007/s13753-020-00268-9
- Optimal probabilistic placement of facilities using a surrogate model for 3D tsunami simulations K. Tozato et al. 10.5194/nhess-23-1891-2023
- Predictive Analysis of the Building Damage From the 2011 Great East Japan Tsunami Using Decision Tree Classification Related Algorithms K. Saengtabtim et al. 10.1109/ACCESS.2021.3060114
- Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru J. Gomez-Zapata et al. 10.5194/nhess-21-3599-2021
- Tsunami hazard evaluation of river embankment structures incorporating their vulnerability to seismic strong motion K. Imai et al. 10.1177/87552930241237815
Latest update: 08 Nov 2024
Short summary
It is known that fragility functions reflect localities (building design standards and topography) and flow velocity is more important, as damage might occur before flow depth reaches its maximum value. This research demonstrates that it is possible to accurately predict building damage by considering related forces with high accuracy, including resistant force, based on building design standards. This method will be useful for damage assessment in areas that have no experience of tsunamis.
It is known that fragility functions reflect localities (building design standards and...
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