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Quantification of Geotechnical Uncertainties in Soil Shear Strengths

机译:土壤抗剪强度中岩土工程不确定性的量化

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This paper discusses ways to quantify uncertainties in soil shear strengths by using site investigation results. The main challenge lies in the fact that the information obtained in site investigation, CPT value, may not be the design parameters themselves but are only correlated to the design parameters. Above all, there is a challenge in combining information: how to quantify the uncertainties when there are multiple sources of information? In this paper we will address the aforementioned challenges and propose a probabilistic framework to handle these difficulties. The design parameters of interest include undrained shear strength of clays and friction angles of sands. Sets of simplified equations will be obtained through the probabilistic analysis for the purpose of quantifying uncertainties: the inputs to the equations are the results of in-situ or laboratory tests and the outputs are the updated mean values and coefficients of variation (c. o. v.) of the design parameters. The uncertainties in the design parameters will decrease when the number of inputs increase, i.e. more information is available. The results of this research may be beneficial to geotechnical reliability-based design.
机译:本文讨论了通过现场调查结果量化土壤抗剪强度不确定性的方法。主要挑战在于以下事实:在现场调查中获得的信息(CPT值)可能不是设计参数本身,而仅与设计参数相关。最重要的是,在组合信息方面存在一个挑战:当存在多种信息来源时,如何量化不确定性?在本文中,我们将解决上述挑战,并提出一个概率框架来应对这些困难。感兴趣的设计参数包括粘土的不排水剪切强度和沙子的摩擦角。简化的方程组将通过概率分析获得,以量化不确定性:方程的输入是原位或实验室测试的结果,输出是更新后的平均值和变量的变异系数(cov)。设计参数。当输入数量增加时,设计参数中的不确定性将降低,即可获得更多信息。这项研究的结果可能有益于基于岩土工程可靠性的设计。

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