A predictive model for scour depth of coastal building failures due to tsunamis

Mara Nicholas, Ravindra Jayaratne, Takayuki Suzuki, Tomoya Shibayama

研究成果: Conference contribution

抄録

The 2011 Great East Japan Earthquake and Tsunami was one of the strongest earthquakes which generated a major tsunami in modern history. The tsunami disaster had an estimated cost of 16.9 trillion yen (US 217.3 billion) and affected the Coastal buildings, services, infrastructure and industrial sectors. Approximately 61% of damaged cost was from the building sector. A practical predictive scour depth model at seaward face was developed to highlight the scour failure of Coastal buildings in Miyagi, Fukushima and Iwate prefectures affected by the 2011 Great East Japan Earthquake and Tsunami. The predictive model for representative scour depth was developed in terms of various hydraulic, geometrical and soil properties affecting Coastal buildings. An analysis was undertaken to investigate the effectiveness of the authors' predictive scour model against the existing models. The results of the authors' proposed model suggested that the tsunami velocity played a significant role on tsunami-induced scour, other scour models such as Tonkin et al.'s model (2003) is reliant on the accuracy of sub models and hydrodynamic forces while the Colorado State University model as modified by Nadal et al. (2010) is reliant on the geometric parameter of the structure.

本文言語English
ホスト出版物のタイトルProceedings of the 35th International Conference on Coastal Engineering, ICCE 2016
編集者Patrick Lynett
出版社American Society of Civil Engineers (ASCE)
ISBN(電子版)9780989661133
出版ステータスPublished - 2016
イベント35th International Conference on Coastal Engineering, ICCE 2016 - Antalya, Turkey
継続期間: 2016 11月 172016 11月 20

出版物シリーズ

名前Proceedings of the Coastal Engineering Conference
35
ISSN(印刷版)0161-3782

Other

Other35th International Conference on Coastal Engineering, ICCE 2016
国/地域Turkey
CityAntalya
Period16/11/1716/11/20

ASJC Scopus subject areas

  • 土木構造工学
  • 海洋工学
  • 海洋学

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