A Numerical Framework for Swelling-Induced Damage Evolution and Support Optimization in Expansive Mudstone Tunnels

Expansive mudstone tunnels often suffer long-term convergence and support damage because excavation-induced unloading is coupled with water-induced swelling. This study proposes a particle flow modeling framework for expansive mudstone tunnels by linking tunnel-wall displacement, swelling pressure, and the equivalent particle radius expansion coefficient. Constant-volume swelling pressure tests were first conducted to determine the representative swelling pressure of the mudstone. An independent confined particle model was then established to calibrate the relationship between macroscopic swelling pressure and microscopic particle expansion. The results show that a stable swelling pressure of 300 kPa corresponds to an equivalent particle radius expansion coefficient of 3.11%. Incorporating this calibrated swelling mechanism into the tunnel model indicates that swelling intensifies excavation-induced damage, increasing the final crack number from 1566 to 1852 and enlarging the equivalent damage-zone diameter from 21.6 m to 22.8 m. Under the original support scheme, the damage depth reaches 5.45 m, and the final crown settlement reaches 177.6 mm. After reinforcement, these values decrease to 3.40 m and 81.1 mm, respectively. Field monitoring confirms the predicted deformation-control trend. The proposed framework provides a practical approach for simulating swelling-induced damage evolution and optimizing support design in expansive mudstone tunnels.

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Publication Details

Journal
CivilEng
Published
2026-08-24
DOI
https://doi.org/10.3390/civileng7030053
Primary Topic
Geotechnical Engineering and Analysis
Type
article
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A Numerical Framework for Swelling-Induced Damage Evolution and Support Optimization in Expansive Mudstone Tunnels

Zheng Yang, Lichuan Wang, Kai Cui
CivilEng
Geotechnical Engineering and Analysis
article

A Numerical Framework for Swelling-Induced Damage Evolution and Support Optimization in Expansive Mudstone Tunnels

Zheng Yang, Lichuan Wang, Kai Cui
article en

Abstract

Expansive mudstone tunnels often suffer long-term convergence and support damage because excavation-induced unloading is coupled with water-induced swelling. This study proposes a particle flow modeling framework for expansive mudstone tunnels by linking tunnel-wall displacement, swelling pressure, and the equivalent particle radius expansion coefficient. Constant-volume swelling pressure tests were first conducted to determine the representative swelling pressure of the mudstone. An independent confined particle model was then established to calibrate the relationship between macroscopic swelling pressure and microscopic particle expansion. The results show that a stable swelling pressure of 300 kPa corresponds to an equivalent particle radius expansion coefficient of 3.11%. Incorporating this calibrated swelling mechanism into the tunnel model indicates that swelling intensifies excavation-induced damage, increasing the final crack number from 1566 to 1852 and enlarging the equivalent damage-zone diameter from 21.6 m to 22.8 m. Under the original support scheme, the damage depth reaches 5.45 m, and the final crown settlement reaches 177.6 mm. After reinforcement, these values decrease to 3.40 m and 81.1 mm, respectively. Field monitoring confirms the predicted deformation-control trend. The proposed framework provides a practical approach for simulating swelling-induced damage evolution and optimizing support design in expansive mudstone tunnels.

CivilEngVol. 7(3)
Shandong University (CN), Turkmen State Institute of Architecture and Construction (TM), Shandong Transportation Research Institute (CN), China Railway Group (China) (CN), China Railway 18th Bureau Group Corporation, TU Bergakademie Freiberg (DE)
Openalex Percentile: Top 10%
Geotechnical Engineering and Analysis
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A Numerical Framework for Swelling-Induced Damage Evolution and Support Optimization in Expansive Mudstone Tunnels — Zheng Yang, Lichuan Wang, et al. · CivilEng (2026) | TGRS Research Map | TGRS