000004480 001__ 4480
000004480 005__ 20141118192659.0
000004480 0177_ $$2doi$$a10.3850/978-981-07-2219-7_P125

000004480 0247_ $$210.3850/978-981-07-2219-7_P125
$$adoi
000004480 04107 $$aeng
000004480 046__ $$k2012-05-23
000004480 100__ $$aWengang, Zhang
000004480 24500 $$aInfluence of Spatial Variability on Slope Failure Analysis by the Shear Strength Reduction Technique

000004480 24630 $$n5.$$pProceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications
000004480 260__ $$bResearch Publishing, No:83 Genting Lane, #08-01, Genting Building, 349568 SINGAPORE
000004480 506__ $$arestricted
000004480 520__ $$2eng$$aIn this paper, two-dimensional (2D) slope stability failure using random field analysis is considered using the shear strength reduction technique for several cases. The spatial variability is simulated using a self-complied MATLAB subroutine, in which both cohesion c and friction angle Ø are assumed to be normally distributed and correlated. Thus the analysis considered is in fact a 2-D correlated spatial variability problem. Present publications mainly use the predetermined spatial correlation length L, the dimensionless ratio of correlation length to the slope height L/H or the Markov chain approach to describe the tendency of elements spatially near each other to be correlated. In this paper, the randomness of the input model variables can be realized by the shape of the normal distribution curves and the fluctuations of c and Ø values among different elements are presumed to follow the normal distribution. Comparison between the probability of failure obtained by First-Order Reliability Method (FORM) and the proposed random field analysis by Monte Carlo simulation with many realizations of soil properties can provide better insights into the role of variability in design. The influences from the number of model elements, the coefficient of correlation between c and Ø and the number of realizations are also investigated. The results also indicate that consideration of spatial variability of input soil parameters influence the assessment of the global factor of safety of the soil slope.

000004480 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004480 653__ $$aSlope stability, Spatial variability, Random field, Factor of safety, Correlation, uncertainty.

000004480 7112_ $$a5th Asian-Pacific Symposium on Structural Reliability and its Applications$$cSingapore (SG)$$d2012-05-23 / 2012-05-25$$gAPSSRA2012
000004480 720__ $$aWengang, Zhang$$iAnthony, Goh Teck Chee
000004480 8560_ $$ffischerc@itam.cas.cz
000004480 8564_ $$s386052$$uhttps://invenio.itam.cas.cz/record/4480/files/P125.pdf$$yOriginal version of the author's contribution as presented on CD, .
000004480 962__ $$r4180
000004480 980__ $$aPAPER