基于可靠指标的土体强度参数变异特征及类型划分

doi:10.13722/j.cnki.jrme.2016.1623

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Abstract

The coefficients of variation V of soil strength parameters，varying in a wide range，are high and traditionally classified by experience，without taking the non-linear response reliability index β into consideration. Based on the collected 257 sets of V of fine-grained soil strength parameters，the probability distribution，characteristic parameters and confidence intervals for these data were determined. The non-linear relationship between β and V was analyzed in which the Monte Carlo Simulation method was used to calculate the slope reliability，and then a classification principle is proposed consistent with the characteristics of β. Research shows that the coefficient of variation(V_c，V_φ) of the cohesive soil can be described by lognormal distribution，and the estimated interval with 95% confidence level are V_c∈[0.05，0.73] and V_φ∈[0.05，0.47]，respectively. Analogously，the statistics for loess are subject to a normal distribution，with the confidence interval V_c∈[0.05，0.81] and V_φ∈[0.05，0.39]，respectively. The β value shows three kinds of response namely nonlinear decrease，linear decrease and micro change sequentially as the V value increases. Three types of variation of soil strength parameters，denoted by rapid changing，slow changing and stagnate changing，are proposed to describe the variation type of soil strength parameters，in which V_c≤0.35 and ＞0.35 belong to rapid and slow changing type，and V_φ≤0.20，0.20～0.35，≥0.35 are rapid，slow and stagnant changing types，respectively.

Key words： soil mechanics types of variation soil strength parameters coefficient of variation reliability index slope stability

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	Articles by authors
	ZHANG Wensheng1
	2
	LUO Qiang1
	2
	JIANG Liangwei1
	2
	LI Ang1
	2
	LUO Fei1
	2

Cite this article:

ZHANG Wensheng1,2,LUO Qiang1, et al. Variation characterization and type classification of soil strength parameters based on reliability index[J]. , 2017, 36(S2): 4188-4204.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2016.1623 OR https://rockmech.whrsm.ac.cn/EN/Y2017/V36/IS2/4188

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