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Reliability evaluation of segment joint in metro tunnel using MCMC techniques and Bayesian inferential structure

机译:基于MCMC和贝叶斯推理结构的地铁隧道节理可靠度评估。

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Shield tunnel is widely used in Shanghai metro system which has numerous joints and buried in saturated soft soil. Therefore, seepage is the most common failure event of tunnel structure. In the present work, a methodology to estimate the reliability of shield tunnel joint was proposed. This methodology contains a two levels hierarchical reliability evaluation. The first level estimation can give the probability distribution function of the seepage frequency as well as the interval estimation of the distribution parameters using MCMC technique and bootstrap based on prior information of tunnel performance so that the epistemic uncertainty can be taken into consideration. The second level estimation can provide the reliability index of the tunnel joint at a specified location along the tunnel structure. To have a more realistic estimation of reliability index, advanced first order reliability method combined with Bayesian inferential structure was employed, in which the longitudinal curvature radius of tunnel structure was considered as posterior information. The proposed approach has also been validated with data extracted from Shanghai metro system with direct inspection and measurement.
机译:盾构隧道在上海地铁系统中被广泛使用,该地铁系统有许多节理并被埋在饱和的软土中。因此,渗流是隧道结构最常见的破坏事件。在目前的工作中,提出了一种评估盾构隧道接头可靠性的方法。该方法论包含两个层次的可靠性评估。基于隧道性能的先验信息,第一级估计可以给出渗流频率的概率分布函数,以及使用MCMC技术和自举法对分布参数的间隔估计,从而可以考虑认知不确定性。第二级估计可以提供沿隧道结构的指定位置处的隧道接头的可靠性指标。为了更可靠地估计可靠度指标,采用先进的一阶可靠度方法结合贝叶斯推论结构,将隧道结构的纵向曲率半径作为后验信息。通过直接检查和测量,从上海地铁系统提取的数据也验证了该方法的有效性。

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