4.5 Article

Reliability analysis of slopes stabilised with piles using response surface method

Journal

GEOMECHANICS AND ENGINEERING
Volume 21, Issue 6, Pages 513-525

Publisher

TECHNO-PRESS
DOI: 10.12989/gae.2020.21.6.513

Keywords

slope stability; piles; uncertainty; reliability; Hasofer-Lind; finite element method; Monte Carlo simulation; response surface method; FCD; 2(k) factorial design

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Slopes stabilised with piles are seldom analysed considering uncertainties in the parameters of the pile-slope system. Reliability analysis of the pile-slope system quantifies the degree of uncertainties and evaluates the safety of the system. In the present study, the reliability analysis of a slope stabilised with piles is performed using the first-order reliability method (FORM) based on Hasofer-Lind approach. The implicit performance function associated with the factor of safety (FS) of the slope is approximated using the response surface method. The analyses are carried out considering the design matrices formulated based on both the 2(k) factorial design augmented with a centre run (2(k) fact-centred design) and face-centered cube design (FCD). The finite element method is used as the deterministic model to compute the FS of the pile-slope system. Results are compared with the results of the Monte Carlo simulation. It is observed that the optimum location of the row of piles is at the middle of the slope to achieve the maximum FS. The results show that the reliability of the system is not uniform for different pile configurations, even if the system deterministically satisfies the target factor of safety (FSt) criterion. The FSt should be selected judiciously as it is observed that the reliability of the system changes drastically with the FSt level. The results of the 2(k) fact-centred design and FCD are in good agreement with each other. The procedure of the FCD is computationally costly and hence the use of 2(k) fact-centred design is recommended, provided the response of the system is sufficiently linear over the factorial space.

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