Zhang Jian, Qiao Guangxuan, Feng Tugen, Zhao Yihe, Zhang Chunbin
Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, No. 1 Xikang Road, Nanjing, 210024, China.
China Railway (Shanghai) Investment Group Co. LTD, Shanghai, 200135, China.
Sci Rep. 2022 Jul 30;12(1):13112. doi: 10.1038/s41598-022-17513-4.
Field monitoring of foundation pits alone cannot predict the future deformation of retaining structures. Numerical simulations can predict the deformation of foundation pits and the working state of retaining structures to avoid the risk of foundation pit damage in advance. Accurate inversion of the soil parameters used for simulation and prediction is a key step. The associated multivariable problem is transformed into a single-variable problem by using the interval influence coefficient. Soil layer weightings and excavation step weightings are introduced and exploited to optimize the calculation process, and the soil parameters are calculated through inversion based on the least squares method. Based on actual engineering, the excavation sequence is regarded as a progressive sequence for back analysis, and the parameters of each soil layer are calculated through dynamic calculations with the excavation process in a cycle comprising inversion, prediction, reinversion and reprediction. The soil parameters after inversion are used to predict the maximum value and the depth of the deep horizontal displacement of the retaining structure, which verified the feasibility of the back-analysis method. Compared with the results before inversion, after the final inversion, t the overall error of section 2 is reduced by 67.24%, the overall error of section 3 is reduced by 40.5%, and the overall error of section 4 is reduced by 35%. The prediction curves are all close to the monitoring displacement curves, which plays a good guiding role and ensures the safe construction of the foundation pit. A new effective idea is proposed for the inverse analysis of the composite formation parameters of the deep foundation pit engineering.
仅靠基坑的现场监测无法预测支护结构未来的变形情况。数值模拟可以预测基坑的变形以及支护结构的工作状态,从而提前避免基坑破坏的风险。准确反演用于模拟和预测的土体参数是关键步骤。利用区间影响系数将相关多变量问题转化为单变量问题。引入并利用土层权重和开挖步长权重来优化计算过程,并基于最小二乘法通过反演计算土体参数。基于实际工程,将开挖顺序视为渐进序列进行反分析,在包括反演、预测、再反演和再预测的循环中,随着开挖过程通过动态计算得到各土层参数。反演后的土体参数用于预测支护结构深层水平位移的最大值和深度,验证了反分析方法的可行性。与反演前的结果相比,最终反演后,第2剖面的整体误差降低了67.24%,第3剖面的整体误差降低了40.5%,第4剖面的整体误差降低了35%。预测曲线均与监测位移曲线接近,起到了良好的指导作用,确保了基坑的安全施工。为深基坑工程复合地层参数的反分析提出了一种新的有效思路。