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A numerical investigation and probabilistic analysis of excavation earth retaining wall instability caused by underground pipeline leakage

机译:地下管道泄漏引起的挖掘地球挡土墙不稳定性的数值研究及概率分析

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摘要

In recent years, underground pipeline leakage occurs frequently in urban regions, which seriously reduces the soil-structure stability in the vicinity of the leakage. In this paper, a numerical study about pipeline leakageinduced instability of adjacent excavation earth retaining wall (EERW) is carried out. To reflect the phenomenon of soil strength degradation when encountering leakage water, the relationship between soil strength parameters and saturation is established by using an empirical formula, which is then implemented in Abaqus via the USDFLD subroutine. After verifying the proposed simulation method, the instability time of EERW under different burial depths of the leakage pipeline is presented. In order to reflect the influence of underlying geotechnical uncertainties on the EERW performance and to improve the probabilistic computational efficiency, the neural network is used as a surrogate model to replace the tedious finite element modeling, and Monte Carlo Simulation (MCS) is used to calculate the time-dependent failure probability of the retaining structure. Extensive sensitivity analyses are carried out to explore the effect of random variables on the failure probabilities. Compared with the unsaturated soil permeability coefficient, the increase of the initial pipeline pressure has more pronounced influence on the stability of EERW, and the initial saturation shows completely different forms in the early and late stages of water leakage.
机译:近年来,地下管线泄漏经常发生在城市地区,这严重降低了泄漏附近的土壤结构稳定性。在本文中,进行了关于管道泄漏引起的相邻挖掘接地挡土墙(eERW)的数值研究。为了反映遇到泄漏水时土壤强度降解的现象,通过使用经验公式建立土壤强度参数和饱和之间的关系,然后通过USDFLD子程序在ABAQUS中实施。在验证所提出的仿真方法之后,提出了漏水管道不同埋藏深度下eERW的不稳定时间。为了反映潜在的岩土不调性不确定性对EERW性能的影响并提高概率计算效率,神经网络被用作代理模型来取代繁琐的有限元建模,并且蒙特卡罗模拟(MCS)用于计算保持结构的时间依赖性故障概率。进行广泛的敏感性分析,以探讨随机变量对故障概率的影响。与不饱和土壤渗透性系数相比,初始管道压力的增加对EERW稳定性的影响更加明显,初始饱和度在漏水的早期和晚期阶段中显示出完全不同的形式。

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