Probabilistic Methods for Assessing Soil Liquefaction Potential and Effect

C. Hsein Juang, Jie Zhang, Sara Khoshnevisan, Wenping Gong

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Cyclic stress-based simplified methods have been widely used for liquefaction potential assessment. While the original simplified procedure pioneered by Seed and Idriss in the early 1970s was based on a large number of fundamental laboratory studies supplemented with some field observations, the more recent simplified methods were almost always developed solely based on the database of field cases using the framework of the original simplified procedure. There are, however, substantial uncertainties in the collected case histories and in the model development process. Coupled with the need for risk assessment and performance-based design requirement, the probabilistic methods have been increasingly used in liquefaction potential and effect assessment. While various probabilistic methods for liquefaction assessment are available in the literature, these methods have not been addressed systematically in a single report. In this paper, the probabilistic methods for liquefaction assessment, including the discriminant analysis, the logistic regression, artificial neural network, Bayesian methods, and performance-based methods, are reviewed. The formulations, key assumptions, advantages and limitations, and their applications for liquefaction assessment are discussed. The challenges and the need for further research are also addressed.

原文???core.languages.en_GB???
主出版物標題Geotechnical Special Publication
編輯D. V. Griffiths, Gordon A. Fenton, Jinsong Huang, Limin Zhang
發行者American Society of Civil Engineers (ASCE)
頁面122-145
頁數24
版本GSP 282
ISBN(電子)9780784480694
DOIs
出版狀態已出版 - 2017
事件Geo-Risk 2017: Keynote Lectures - Denver, United States
持續時間: 4 6月 20177 6月 2017

出版系列

名字Geotechnical Special Publication
號碼GSP 282
0
ISSN(列印)0895-0563

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???Geo-Risk 2017: Keynote Lectures
國家/地區United States
城市Denver
期間4/06/177/06/17

指紋

深入研究「Probabilistic Methods for Assessing Soil Liquefaction Potential and Effect」主題。共同形成了獨特的指紋。

引用此