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在地铁砂土区间盾构法施工过程中,由于盾构机的掘进和注浆填充对周围的土层有一定的扰动作用,该土层的力学参数产生了一定变化。现场原位试验很难准确测得土体的参数。根据工程重要性和施工的信息化要求,土体的部分力学参数需要利用施工过程中地表沉降监测数据进行位移反演得出。结合沈阳某砂土区间盾构施工监测,利用改进的遗传优化的神经网络算法对其土体参数进行反演,得出较为准确的土体参数,并将其代入数值模型中进行计算验证。结果表明,数值计算结果与监测数据基本吻合。
During the construction of metro sand-soil shield tunneling, the mechanical parameters of the soil layer have some changes due to the disturbing effect on the surrounding soil layer caused by shield tunneling and grouting filling. Site in situ test is difficult to accurately measure soil parameters. According to the importance of the project and the informatization requirements of the construction, some mechanical parameters of the soil should be derived from the displacement inversion by using the surface subsidence monitoring data in the construction process. Combined with the monitoring of shield construction in a sand area in Shenyang, the improved genetic algorithm was applied to invert the soil parameters, and the accurate soil parameters were obtained, which were then substituted into the numerical model for verification. The results show that the numerical results are consistent with the monitoring data.