Multifactor Analysis of Pore Water Pressure of Silt Soil Under Subway Load Based on Uniform Design

To elucidate the mechanisms of accumulated pore pressure in the soil surrounding subway tunnels and identify its influencing factors, this study selected the silt soil from Shanghai Metro Line 10 as the research object. A series of dynamic triaxial tests were conducted, employing a hybrid experimental design that integrated the controlled variable method with uniform experimental design principles. This approach enabled a systematic examination of the influence patterns of four primary parameters, including loading frequency, dynamic stress amplitude, consolidation ratio, and overconsolidation ratio (OCR) on pore water pressure. The experimental results revealed that under specific loading frequencies, pore water pressure exhibited a positive correlation with increases in dynamic stress amplitude, consolidation ratio, and OCR, while demonstrating an inverse relationship with loading frequency increases. A quantitative ranking of the factors’ influence on pore water pressure, based on their correlation strength, is as follows: dynamic stress amplitude, loading frequency, consolidation ratio, and OCR. Notably, dynamic stress amplitude exerts the most significant impact on pore water pressure, highlighting the need to prioritize the role of dynamic eccentric stress in subway engineering practices. Furthermore, the regression equation established by accounting for the coupled effects of multiple factors demonstrates a good fit, thereby providing valuable insights for subway tunnel design.

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Publication Details

Journal
Advances in Civil Engineering
Published
2025-01-01
DOI
https://doi.org/10.1155/adce/5512161
Primary Topic
Geotechnical Engineering and Soil Mechanics
Type
article
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article

Multifactor Analysis of Pore Water Pressure of Silt Soil Under Subway Load Based on Uniform Design

Chang Wang Yan, Biaowei Sang, Qian Lv, Zhongcai Lin et al.
Advances in Civil Engineering
Geotechnical Engineering and Soil Mechanics
article

Multifactor Analysis of Pore Water Pressure of Silt Soil Under Subway Load Based on Uniform Design

Chang Wang Yan, Biaowei Sang, Qian Lv, Zhongcai Lin, Xin Qu
article en

Abstract

To elucidate the mechanisms of accumulated pore pressure in the soil surrounding subway tunnels and identify its influencing factors, this study selected the silt soil from Shanghai Metro Line 10 as the research object. A series of dynamic triaxial tests were conducted, employing a hybrid experimental design that integrated the controlled variable method with uniform experimental design principles. This approach enabled a systematic examination of the influence patterns of four primary parameters, including loading frequency, dynamic stress amplitude, consolidation ratio, and overconsolidation ratio (OCR) on pore water pressure. The experimental results revealed that under specific loading frequencies, pore water pressure exhibited a positive correlation with increases in dynamic stress amplitude, consolidation ratio, and OCR, while demonstrating an inverse relationship with loading frequency increases. A quantitative ranking of the factors’ influence on pore water pressure, based on their correlation strength, is as follows: dynamic stress amplitude, loading frequency, consolidation ratio, and OCR. Notably, dynamic stress amplitude exerts the most significant impact on pore water pressure, highlighting the need to prioritize the role of dynamic eccentric stress in subway engineering practices. Furthermore, the regression equation established by accounting for the coupled effects of multiple factors demonstrates a good fit, thereby providing valuable insights for subway tunnel design.

Advances in Civil EngineeringVol. 2025(1)
Anyang Institute of Technology (CN), Henan Polytechnic University (CN)
Openalex Percentile: Top 65%
Geotechnical Engineering and Soil Mechanics
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Multifactor Analysis of Pore Water Pressure of Silt Soil Under Subway Load Based on Uniform Design — Chang Wang Yan, Biaowei Sang, et al. · Advances in Civil Engineering (2025) | TGRS Research Map | TGRS