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Quantile value method versus design value method for calibration of reliability-based geotechnical codes

机译:基于可靠度岩土规范标定的分位数法与设计值法

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摘要

This paper compares two methods for geotechnical reliability code calibration, namely the well known design value method (DVM) based on first-order reliability method and a recently developed method based on quantile, called the quantile value method (QVM). The feasibility of calibrating a single partial factor to cover the wide range of coefficients of variation (COVs) commonly encountered in geotechnical designs is studied. For analytical tractability, a simple design example consisting of one resistance random variable and one load random variable is first examined. A resistance factor is first calibrated using a single calibration case associated with a typical COV. The objective is to evaluate the departure from the target reliability index analytically when this calibrated resistance factor is applied to validation cases associated with a range of COVs. The results show that QVM is more robust than DVM in terms of achieving a more uniform reliability level over a range of COVs. Two realistic geotechnical design examples are studied to demonstrate that the theoretical insights garnered in the simple analytical example are applicable.
机译:本文比较了两种用于岩土工程可靠性代码校准的方法,即基于一阶可靠性方法的著名设计值方法(DVM)和基于分位数的最新开发方法,称为分位数值方法(QVM)。研究了校准单个分部因子以覆盖岩土设计中通常遇到的宽范围的变异系数(COV)的可行性。对于分析性,首先研究一个简单的设计示例,该示例由一个电阻随机变量和一个负载随机变量组成。首先使用与典型COV相关的单个校准案例来校准电阻系数。目的是当将此校准的阻力系数应用于与一系列COV相关的验证案例时,以分析方式评估偏离目标可靠性指标的情况。结果表明,就各种COV而言,QVM在实现更统一的可靠性方面,比DVM更为强大。研究了两个现实的岩土设计实例,以证明简单分析实例中的理论见解是适用的。

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