New Building Damage Assessment Method Based on Numerical Tsunami Simulation and Analytical Force Estimation: Case study of the 2011 Tohoku tsunami

2018 ◽  
Vol 74 (2) ◽  
pp. I_451-I_456
Author(s):  
Anawat SUPPASRI ◽  
Kwanchai PAKOKSUNG ◽  
Ingrid CHARVET ◽  
Noriyuki TAKAHASHI ◽  
Teraphan ORNTHAMMARATH ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Assessment Method ◽  
Building Damage ◽  
Force Estimation ◽  
Tsunami Simulation ◽  
2011 Tohoku Tsunami ◽  
Tohoku Tsunami

scholarly journals The 2011 Tohoku Tsunami from the Sky: A Review on the Evolution of Artificial Intelligence Methods for Damage Assessment

Geosciences ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 133
Author(s):  
Jérémie Sublime
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Damage Assessment ◽  
Structural Damage ◽  
North East ◽  
2011 Tohoku Tsunami ◽  
Artificial Intelligence Methods ◽  
The Future ◽  
Tohoku Tsunami

The Tohoku tsunami was a devastating event that struck North-East Japan in 2011 and remained in the memory of people worldwide. The amount of devastation was so great that it took years to achieve a proper assessment of the economical and structural damage, with the consequences still being felt today. However, this tsunami was also one of the first observed from the sky by modern satellites and aircrafts, thus providing a unique opportunity to exploit these data and train artificial intelligence methods that could help to better handle the aftermath of similar disasters in the future. This paper provides a review of how artificial intelligence methods applied to case studies about the Tohoku tsunami have evolved since 2011. We focus on more than 15 studies that are compared and evaluated in terms of the data they require, the methods used, their degree of automation, their metric performances, and their strengths and weaknesses.

The 2011 Tohoku Tsunami on the Coast of Mexico: A Case Study

2017 ◽  
Vol 174 (8) ◽  
pp. 2961-2986 ◽  
Author(s):  
Oleg Zaytsev ◽  
Alexander B. Rabinovich ◽  
Richard E. Thomson
Keyword(s):  
2011 Tohoku Tsunami ◽  
Tohoku Tsunami

scholarly journals FORMATION OF BREAKING BORES IN FUKUSHIMA PREFECTURE DUE TO THE 2011 TOHOKU TSUNAMI

2017 ◽  
pp. 17
Author(s):  
Shinji Sato ◽  
Shohei Ohkuma
Keyword(s):  
Numerical Simulation ◽  
Laboratory Experiments ◽  
Coastal Structures ◽  
Tsunami Simulation ◽  
Fukushima Prefecture ◽  
2011 Tohoku Tsunami ◽  
Coastal Cliff ◽  
Bed Slope ◽  
Tohoku Tsunami ◽  
Impulsive Pressure

Tsunami forces on critical coastal structures were reanalyzed by combining laboratory experiments and numerical tsunami simulation, focusing on the formation of breaking bores and their large force to structures. Laboratory experiments demonstrated that nearshore tsunami is likely to form a breaking bore when the slope of the incident tsunami front is steep and the nearshore bed slope is mild. The impulsive pressure to coastal structures was found to increase with the steepness of the tsunami front. Based on these results, together with numerical simulation of tsunami, the formation of bores was discussed in relation to coastal cliff topography in Fukushima Prefecture.

scholarly journals Building damage assessment and settlement monitoring in subsidence-affected urban areas: case study in the Netherlands

2020 ◽  
Vol 382 ◽  
pp. 651-656
Author(s):  
Gianfranco Nicodemo ◽  
Dario Peduto ◽  
Settimio Ferlisi
Keyword(s):  
The Netherlands ◽  
Urban Areas ◽  
Damage Assessment ◽  
Building Damage ◽  
Economic Losses ◽  
Integrated Analysis ◽  
Forecasting Models ◽  
Multi Temporal ◽  
Building Behaviour

Abstract. Buildings in subsiding areas may suffer from settlements causing damages of different severity levels with high impact in terms of yearly economic losses. In these contexts, a systematic damage assessment jointly with continuous monitoring of relevant parameters (e.g. settlements exhibited by points located on the roof) can be extremely useful to control the building behaviour and develop forecasting models. In this regard, the paper presents the results of an integrated analysis carried out on a subsidence-affected urban area in the Netherlands where the availability of multi-temporal building damage surveys and a long DInSAR monitoring dataset allowed both retrieving quantitative empirical relationships between the cause (magnitude of the selected intensity parameter, IP) and the effect (recorded damage severity level, DL) and generating empirical fragility and vulnerability curves. The results pointed out the importance of considering the exact dating of the onset of building damage and the corresponding magnitude of the considered IP in the generation of quantitative forecasting models.

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