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April 10, 2026Applied Sciences0 citationsOpen Access

Collaborative Support Optimization for Constrained Foundation Pit Excavation Adjacent to Urban Rail Transit: A Case Study of Shangdi Station on Beijing Subway, China

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HWHaoyu WangHWHaoyu WangAZAnqi Zhang

Key Points

  • The objective is to develop an optimized support system for foundation pits near urban rail to control deformation.
  • Established a three-dimensional finite element model using Hardening Soil constitutive model.
  • Calibrated the model with field monitoring data from a foundation pit project at Shangdi Station.
  • Conducted optimization analysis to identify key factors affecting rail and surface settlement.
  • Micro-pile spacing was determined to be the main factor controlling local rail settlement.
  • A 300 mm-thick partition wall primarily influenced global surface settlement.
  • The optimal configuration included 273 mm diameter micro-piles at 500 mm spacing, reducing maximum rail settlement by over 55%.

Abstract

Excavation adjacent to operating urban rail transit faces formidable deformation control challenges. To address this, a parametric collaborative optimization framework integrating micro steel pipe pile isolation and temporary intermediate partition wall reinforcement is proposed. Taking a foundation pit project at Shangdi Station of Beijing Metro Line 13 as a case study, a three-dimensional finite element model was established using the Hardening Soil constitutive model and calibrated with field monitoring data. Optimization analysis reveals that micro-pile spacing is the dominant factor controlling local rail settlement, while intermediate partition wall thickness primarily dictates global surface settlement. By balancing stringent safety limits with construction economy through a multi-objective evaluation, the preferred support configuration was calculated to be 273 mm diameter micro-piles at 500 mm spacing, combined with a 300 mm-thick partition wall. This collaborative configuration successfully truncates lateral soil displacement, reducing maximum rail settlement by over 55% and surface settlement by 53.6% compared to the baseline. Field monitoring results show high consistency with the numerical predictions (RMSE = 0.1438 mm), confirming the reliability of the proposed parametric collaborative optimization framework. Ultimately, this framework provides a validated, quantitative design methodology and a practical reference for support design in constrained excavations adjacent to existing sensitive infrastructure.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69d896046c1944d70ce072ddhttps://doi.org/10.3390/app16083631
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