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March 3, 2026Engineering Geology0 citationsOpen Access

Impact of geological conceptualization in predicting pore pressure reduction from urban excavations

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SASofie AxéenChalmers University of TechnologyJMJohanna MerisaluEHEzra HaafChalmers University of Technology

Key Points

  • Pore pressure reduction is significantly affected by the inclusion of permeable sand lenses.
  • The study uses multiple point statistics to create geological models for accurate predictions.
  • Results show that hydraulic connectivity of sand layers impacts consolidation in clay soils.
  • Importance of incorporating geological heterogeneity in urban excavation risk assessments is emphasized.

Abstract

Leakage of groundwater and subsequent pore pressure reduction can cause consolidation in subsidence sensitive soils and subsequently pose damage risks to the built environment. This study presents the first systematic, quantitative evaluation of how geological conceptualization – specifically the inclusion or exclusion of permeable sand lenses within glaciomarine clay deposits - affects simulated pore pressure reduction due to groundwater leakage into deep excavations. By employing Multiple Point Statistics (MPS) to generate alternative geological models and integrating these with MODFLOW-NWT transient groundwater simulations, we reveal that the presence and hydraulic connectivity of sand lenses significantly influence the rate and magnitude of pore pressure reduction in clay, which has significant consequences for settlement magnitudes. These findings underscore the importance of explicitly accounting for geological heterogeneity and uncertainty in risk assessment for urban excavations, a factor often neglected in conventional engineering geology practice when assessing settlement hazards and their consequences for the surrounding areas. • Geological conceptualization impacts pore-pressure reduction in urban excavations. • Representation of more permeable interbedded layers improves accuracy of groundwater drawdown predictions. • Multiple Point Statistics used for expert-like geological characterization and risk assessment.

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Cite This Study

Axéen et al. (2026) studied this question.

synapsesocial.com/papers/69a75de3c6e9836116a282cfhttps://doi.org/10.1016/j.enggeo.2026.108601
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