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对于土质边坡稳定性分析,由于岩土参数变异系数波动范围较大,分项系数设计法(PFM)计算结果不够稳定,尚未在工程中广泛推行。分位概率设计法(QVM)是一种新的可靠度设计方法,它以单一的分位概率?进行极限状态设计。将分位概率设计法应用于边坡稳定分析,针对土质边坡,进行了抗剪强度参数(c,f)的分项系数和分位概率的标定和误差分析。分析结果表明:1在土体抗剪强度参数(c,f)的均值、变异系数、坡角和坡高在取值范围内变化时,分位概率值(?)相比分项系数c f?,?,其标定结果更加稳定;2相比分项系数设计法,分位概率设计法给定的极限状态,其实际可靠度βA更稳定,与目标可靠度βT之间的误差更小,设计更可靠;3分项系数法对各变量分别使用不同的分项系数,而分位概率法对所有变量采用相同的分位概率(?),设计更简洁。
For the stability analysis of soil slope, due to the large fluctuation range of coefficient of variation of soil parameters, the result of partial factor design (PFM) is not stable enough and has not been widely implemented in the project. The quantile probability design method (QVM) is a new method of reliability design, which uses a single sub-bit probability? Limit state design. The method of quantile probability design was applied to the slope stability analysis. For the soil slope, the calibration and error analysis of the sub-coefficient and the sub-bit probability of the shear strength parameters (c, f) were carried out. The analysis results show that when the mean value, coefficient of variation, slope angle and slope height of soil shear strength parameter (c, f) change within the range of values, the quantile probability value (? ?, the calibration results more stable; 2 compared to the sub-coefficient design method, sub-bit probability design method given the limit state, the actual reliability βA more stable, and target reliability βT less error between the design more reliable ; 3-factor method used different sub-coefficients for each variable, while the sub-probability method adopted the same quantile probability (?) For all variables, and the design was more concise.