Efficient slope reliability analysis at low-probability levels in spatially variable soils: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Jiang, Shui-Hua / Huang, Jin-Song

Abstract Direct Monte Carlo simulation for the reliability analysis of slope stability with spatially variable soil properties suffers from a serious lack of efficiency when the probability of failure, $p_{f}$ , is low (e.g., $p_{f} < 10^{- 6}$ ). Based on the multiple response surfaces and Subset simulation, this paper proposes an efficient approach for the estimating of small probabilities of slope failure in spatially variable soils. An improved Cholesky decomposition technique is presented for the simulation of the globally non-stationary random fields of spatially variable soil properties in the multiple soil layers. Two slope examples are investigated to demonstrate the effectiveness of the proposed method. The efficiency of the proposed approach for parametric sensitivity analysis is also highlighted.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Jiang, Shui-Hua / Huang, Jin-Song

Abstract Direct Monte Carlo simulation for the reliability analysis of slope stability with spatially variable soil properties suffers from a serious lack of efficiency when the probability of failure, $p_{f}$ , is low (e.g., $p_{f} < 10^{- 6}$ ). Based on the multiple response surfaces and Subset simulation, this paper proposes an efficient approach for the estimating of small probabilities of slope failure in spatially variable soils. An improved Cholesky decomposition technique is presented for the simulation of the globally non-stationary random fields of spatially variable soil properties in the multiple soil layers. Two slope examples are investigated to demonstrate the effectiveness of the proposed method. The efficiency of the proposed approach for parametric sensitivity analysis is also highlighted.

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Jiang, Shui-Hua / Huang, Jin-Song

Abstract Direct Monte Carlo simulation for the reliability analysis of slope stability with spatially variable soil properties suffers from a serious lack of efficiency when the probability of failure, $p_{f}$ , is low (e.g., $p_{f} < 10^{- 6}$ ). Based on the multiple response surfaces and Subset simulation, this paper proposes an efficient approach for the estimating of small probabilities of slope failure in spatially variable soils. An improved Cholesky decomposition technique is presented for the simulation of the globally non-stationary random fields of spatially variable soil properties in the multiple soil layers. Two slope examples are investigated to demonstrate the effectiveness of the proposed method. The efficiency of the proposed approach for parametric sensitivity analysis is also highlighted.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Contributors:

Jiang, Shui-Hua (author) / Huang, Jin-Song (author)

Published in:

Computers and Geotechnics ; 75 ; 18-27

Publication date:

2016-01-17

Size:

10 pages

ISSN:

DOI:

https://doi.org/10.1016/j.compgeo.2016.01.016

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

Slope reliability , Spatial variability , Small probability of failure , Response surface , Subset simulation

Similar titles

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Jiang, Shui-Hua / Huang, Jin-Song | British Library Online Contents | 2016

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Jiang, Shui-Hua | Online Contents | 2016

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Jiang, Shui-Hua / Huang, Jin-Song | British Library Online Contents | 2016

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Jiang, Shui-Hua / Huang, Jin-Song | British Library Online Contents | 2016

Novel approach to efficient slope reliability analysis in spatially variable soils

Wang, Ze-Zhou / Goh, Siang Huat | Elsevier | 2020