Reliability Analysis of Embankment Slope in Yaan-Luku Expressway

Abstract

Take a typical cross-section of rockfill embankment slope in Yaan-Luku highway as the research object, reliability analysis is studied under the condition of water table of 840.85m, 851.50m, and loading condition of natural state and horizontal seismic acceleration of 0.2g, respectively. Raw data use Kolmogorov-Smirnov test (K-S test) to determine the distribution type of parametric variation. And the parameters were sampling with Latin hypercube sampling (LHS) method and Monte Carlo (MC) method, respectively, to obtain state function and determine safety factors and reliability indexes. A conclusion is drawn that the times of simulation based on LHS method were less than Monte Carlo method. Also the convergence of failure probability is better than the Monte Carlo method. The safety factor is greater than one and the failure probability has reached to 35.45% in condition of earthquake, which indicating that the instability of rockfill embankment slope is still possible.

Investigating Reliability of Duimenshan High Rock Slope in Gejiu, Yunnan Province Based on the Monte Carlo Method

“…Currently, the common slope reliability analysis methods are the Monte Carlo method [12][13][14][15][16][17], response surface method (RSM) [18][19][20], Latin hypercube sampling (LHS) multidimensional stratified sampling method [21][22][23][24], and first-order second-moment method (FOSM) [25][26][27][28]. In this regard, the Monte Carlo method is widely used in financial engineering, biomedicine, economics, computational physics, and geotechnical engineering.…”