Simulation research on optimization of metro deep foundation pit support scheme based on grey relational analysis
摘要
The design of deep foundation pit support for subway construction is typically conservative, potentially leading to resource waste. Given this issue, the main support parameters were evaluated and optimized by the grey system theory and a combined weighting method, with the deep foundation pit of Huicheng Road Station in Qingdao City as the research object. Specifically, a combined weighting method, organically coupling the Analytic Hierarchy Process and the entropy method, was proposed to determine the weights of the support parameters. Additionally, a multi-objective evaluation system of grey relational analysis and the combined weighting method were established in sequence. An L16(4 × 4) orthogonal test was performed to simulate 16 combinations of four parameters: prestress of anchor cables, horizontal spacing, position of the first row of anchor cables, and vertical spacing. Furthermore, the horizontal displacement of the foundation pit slope, the maximum value of ground surface settlement, and the project cost were utilized as evaluation indicators for comprehensive assessment. The results suggest that the optimal combination of support parameters is: prestress of 300 kN, horizontal spacing of 2.6 m, the first row of anchor cables 9 m from the top of the pit, and three rows of anchor cables (with lengths of 15 m, 13.5 m, and 11 m, respectively). After optimization, the project cost was curtailed by 56.36%, with an overall stability safety factor of 5.395, satisfying the requirements of the specifications. This method can significantly lower costs while ensuring the safety of the foundation pit, laying a scientific foundation for the coordinated optimization of economy and safety in deep foundation pit engineering.