铁道科学与工程学报2025，Vol.22Issue(1)：259-271,13.DOI:10.19713/j.cnki.43-1423/u.T20240409
考虑水土参数变异性的盾构隧道开挖面支护力设计方法
Design method for shield tunnel excavation face support force considering variability of water and soil parameter
摘要
Abstract
With developments in tunnel engineering,robust design has become essential for ensuring safety and efficiency.This study addressed the limitations of traditional deterministic calculations,which fail to fully account for the spatial variability of geological and hydraulic parameters affecting the stability of the shield tunnel excavation face.Utilizing random field theory,the research incorporated the spatial variability and autocorrelation of stratum parameters.We developed a three-dimensional helical failure mechanism model for uncertain conditions using upper bound analysis and spatial discretization techniques.A novel method for calculating the support force on the shield tunnel face was introduced,integrating the velocity field of the discrete failure mechanism with the power balance equation,and validated against existing studies.The analysis of the impact of parameter uncertainty on failure probability leads to a robust support force design method.Validation of the proposed calculation method for shield tunnel face support force under both deterministic and uncertainty analyses confirms its reliability.The findings show that variability in the pore water pressure coefficient significantly impacts the results,more so than friction angle and cohesion.Increasing the coefficient of variation and autocorrelation distance results in a more dispersed distribution of calculated support forces in stochastic analysis.The proposed robust design approach,validated against engineering data,provides valuable guidance for tunnel construction and design.关键词
随机场理论/开挖面稳定性/三维上限分析/稳健性设计Key words
random field theory/face stability/3D upper limit analysis/robust design分类
交通运输引用本文复制引用
胡子威,雷明锋,张运波,肖凤龙,杨鹏亮,贾朝军..考虑水土参数变异性的盾构隧道开挖面支护力设计方法[J].铁道科学与工程学报,2025,22(1):259-271,13.基金项目
国家自然科学基金资助项目(52378420) （52378420）
湖南省自然科学基金资助项目(2024JJ9080) （2024JJ9080）
中南大学研究生科研创新项目(2024ZZTS0245) （2024ZZTS0245）
