Model uncertainty characterization in the simplified method for soil liquefaction

Yun Yao Chi, Ya Fen Lee, Der-Her Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Both the model and parameter uncertainties should be taken into consideration for evaluation of soil liquefaction potential during earthquake. The paper aims to develop a new method to quantify the model uncertainty of the simplified method. The proposed method is constructed by the random simulation technique. The CPT-based liquefied/non-liquefied case histories are collected from documents to determine the Roberson and Wride(1998) model (RW) uncertainty for example. The results show that the RW model uncertainty can be defined by a c1 parameter with an expected value is 1.16 and a coefficient of variance value is 0.12 for all case histories. Finally, results comparison is presented for the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings of The Seventeenth 2007 International Offshore and Polar Engineering Conference, ISOPE 2007
Pages1181-1187
Number of pages7
Publication statusPublished - 2007 Dec 3
Event17th 2007 International Offshore and Polar Engineering Conference, ISOPE 2007 - Lisbon, Portugal
Duration: 2007 Jul 12007 Jul 6

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Other

Other17th 2007 International Offshore and Polar Engineering Conference, ISOPE 2007
CountryPortugal
CityLisbon
Period07-07-0107-07-06

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

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  • Cite this

    Chi, Y. Y., Lee, Y. F., & Lee, D-H. (2007). Model uncertainty characterization in the simplified method for soil liquefaction. In Proceedings of The Seventeenth 2007 International Offshore and Polar Engineering Conference, ISOPE 2007 (pp. 1181-1187). (Proceedings of the International Offshore and Polar Engineering Conference).