Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76531
Title: Risk assessment of geotechnical performance on spatially varying soil by the use of sensitivity index
Authors: Lo, MK 
Leung, YF 
Issue Date: 2017
Publisher: American Society of Civil Engineers
Source: Geotechnical special publication, 2017, no. 284, p. 467-476 How to cite?
Journal: Geotechnical special publication 
Abstract: Spatial variability of geological profiles influences the performance of geotechnical structure, and such variability can be modelled by the random field theory, which simulates the geological profile as a set of spatially-correlated random variables. Uncertainties in certain zones of the subsoil profile would pose a higher risk to the overall geotechnical performance, and a proper assessment of risks contributed from different zones will provide insights into the geotechnical investigation and subsequent design processes. One possible tool of risk quantification is the Sobol index, which is a sensitivity index used to quantify the influence of each random variable on the performance variability. This paper illustrates the evaluation of the Sobol index coupled with advanced probabilistic tools such as the polynomial chaos expansion and Latin hypercube sampling with dependence. The proposed methodology is demonstrated using a shallow foundation case with spatially-varying Young's modulus, cohesion and friction angle. The most important zones are identified as having the maximum Sobol index values. The presented package aims to integrate the latest probabilistic tools in order to systematically evaluate the risks associated with foundation performance due to spatial uncertainties of geotechnical parameters.
Description: Geo-Risk Conference, Denver, CO, US, Jun 04-07, 2017
URI: http://hdl.handle.net/10397/76531
ISBN: 978-0-7844-8071-7
ISSN: 0895-0563
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