On the Importance of a Complete Characterization of Site Investigation Data Uncertainty: A Computational Example

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Abstract

This paper studies the effect of (not) accounting for the systematic uncertainty in the characterization of soil parameters in spatially variable soils and the influence this has on the calculated probability of failure. Not fully accounting for systematic uncertainty is considered as an incomplete characterization of the uncertainty in site investigation. An example slope in a spatially variable soil is modeled, using a combination of subset simulation with the random finite element method. The relationship between uncertainty in the mean shear strength and probability of slope failure is then used to demonstrate that even small levels of systematic uncertainty can have a significant effect on the calculated probability of failure, which potentially increases by several orders of magnitude
Original languageEnglish
Title of host publicationProceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR)
Subtitle of host publicationEditors: Jianye Ching, Dian-Qing Li and Jie Zhang
EditorsJianye Ching, Dian-Qing Li, Jie Zhang
Place of PublicationSingapore
Pages237-242
Number of pages6
ISBN (Electronic) 978-981-11-2725-0
DOIs
Publication statusPublished - 11 Dec 2019
EventISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk - National Taiwan University of Science and Technology, Taipei, Taiwan
Duration: 11 Dec 201913 Dec 2019
http://isgsr2019.org/

Conference

ConferenceISGSR 2019: 7th International Symposium on Geotechnical Safety and Risk
Abbreviated titleISGSR 2019
CountryTaiwan
CityTaipei
Period11/12/1913/12/19
Internet address

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