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为揭示盖挖逆作法群坑协同开挖条件下钢管柱竖向变形规律并实现快速预测，本文依托某超大规模基坑群工程，采用现场监测与参数化数值模拟相结合的方法，系统分析不同开挖深度组合与开挖时序对钢管柱竖向抬升的影响。监测结果表明，钢管柱在施工过程中普遍发生竖向抬升，单侧开挖易引起明显非对称变形；当相邻基坑同步或近同步开挖时，结构变形协调性增强，不均匀抬升显著减弱。参数化数值模拟分析表明，深部开挖是控制竖向变形的主控因素，最大抬升量与开挖深度呈近似线性正相关。在此基础上，构建基于深度神经网络的智能预测模型，实现多工况条件下钢管柱竖向变形的快速评估，预测精度满足工程需求，可为群坑工程施工顺序优化与结构安全控制提供参考。
Abstract：To investigate the vertical deformation of steel pipe columns in cover-and-cut top-down construction under group-pit excavation and enable rapid prediction, this study took a super-large pit cluster as the research background. Field monitoring and parametric numerical simulations were conducted to evaluate the effects of excavation depth combinations and excavation sequences. The results show that column uplift commonly occurs during construction, and unilateral excavation causes pronounced asymmetric deformation. In contrast, simultaneous or nearly simultaneous excavation of adjacent pits improves deformation compatibility and significantly reduces uneven uplift. Numerical simulation analyses indicate that deep excavation is the dominant factor, and the maximum uplift increases approximately linearly with excavation depth. A deep neural network model was further developed for fast uplift prediction under multiple scenarios, achieving acceptable engineering accuracy. The findings provide support for excavation-sequence optimization and structural safety control in large-scale group-pit projects.
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基本信息:
中图分类号:TU753
引用信息:
[1]刘冬,王浩,张兆龙,等.群坑开挖钢管柱变形的数值模拟-数据驱动融合预测[J].铁道建筑,2026,66(07):61-66.
2026-07-20
2026-07-20