Numerical modeling-based deformation prediction for tunnel portal talus slopes

To predict the deformation behavior of the talus slope under varying reservoir water levels and dynamic train loads during tunnel operation, this study investigates the talus slope at the Daqianshiling tunnel portal section. Initially, the excavation process of the tunnel portal section was simulated using numerical modeling, with simulation outcomes systematically compared to in situ monitoring data. Subsequently, the numerical model was iteratively calibrated to ensure overall concordance with field conditions. Upon calibration, the model was employed to simulate talus slope deformation under diverse water level and train load scenarios encountered during operation. The results indicate that deformation during the reservoir filling phase is markedly greater than that observed during the drawdown phase. Slope stability is substantially reduced when train loading coincides with elevated water levels. The methodological framework in provides a robust basis for the prediction of deformation in analogous engineering projects.

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Publication Details

Journal
Frontiers in Earth Science
Published
2026-03-04
DOI
https://doi.org/10.3389/feart.2026.1777737
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical modeling-based deformation prediction for tunnel portal talus slopes

Liangkai Qin, Xing Qin, Dapeng Zhu, Junyong Li
Frontiers in Earth Science
Geotechnical Engineering and Analysis
article

Numerical modeling-based deformation prediction for tunnel portal talus slopes

Liangkai Qin, Xing Qin, Dapeng Zhu, Junyong Li
article en

Abstract

To predict the deformation behavior of the talus slope under varying reservoir water levels and dynamic train loads during tunnel operation, this study investigates the talus slope at the Daqianshiling tunnel portal section. Initially, the excavation process of the tunnel portal section was simulated using numerical modeling, with simulation outcomes systematically compared to in situ monitoring data. Subsequently, the numerical model was iteratively calibrated to ensure overall concordance with field conditions. Upon calibration, the model was employed to simulate talus slope deformation under diverse water level and train load scenarios encountered during operation. The results indicate that deformation during the reservoir filling phase is markedly greater than that observed during the drawdown phase. Slope stability is substantially reduced when train loading coincides with elevated water levels. The methodological framework in provides a robust basis for the prediction of deformation in analogous engineering projects.

Frontiers in Earth ScienceVol. 14
Tongji University (CN), China Three Gorges University (CN), Southwest Petroleum University (CN), Guangzhou Chemistry (China) (CN), Chongqing Construction Engineering Investment Holding (China) (CN), Shanghai Construction Group (China) (CN)
China Three Gorges University
Clean water and sanitation
Openalex Percentile: Top 48%
Geotechnical Engineering and Analysis
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