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Back analysis of an operating subsea tunnel considering the degradation of ground and concrete lining

机译:考虑到地面和混凝土衬砌劣化的运营海底隧道的返回分析

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An evaluation of the stability of subsea tunnels during operation is very important considering the risks involved with subsea tunnels. Although a large volume of monitoring information can be obtained, back analysis has been performed based on the internal displacement. In this study, the efficiency of an estimation of the safety of an operating subsea tunnel has been improved by implementing the back analysis algorithm based on various monitoring information. The differential evolution algorithm was adopted for back analysis of an operating subsea tunnel. The differential evolution algorithm was improved to accommodate the multiple target variables for back analysis, such as the elastic modulus, cohesion, friction angle of the ground, and the time-dependent elastic modulus of concrete lining. In addition, the elastic modulus of the concrete lining and the properties of reinforced ground can be evaluated with the proposed algorithm using a range of monitoring data, such as the internal displacement and stress acting on the lining. In summary, back analysis with a differential evolution algorithm can be used to evaluate the stability of an operating subsea tunnel.
机译:考虑与海底隧道涉及的风险非常重要,对术后海底隧道稳定性的评估非常重要。尽管可以获得大量的监测信息,但是基于内部位移进行了回分析。在该研究中,通过基于各种监测信息实现了后分析算法,改善了操作海底隧道安全性的估计的效率。采用差分演化算法进行了对操作海底隧道的回应分析。改进了差分演化算法以适应后分析的多个目标变量,例如弹性模量,地面的粘性,摩擦角,以及混凝土衬里的时间依赖弹性模量。另外,可以使用一系列监测数据用所提出的算法评估混凝土衬里的弹性模量和增强地的性能,例如在衬里上作用的内部位移和应力。总之,使用差分演进算法的回分析可用于评估操作海底隧道的稳定性。

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