Prediction of tunnel squeezing in soft sedimentary rocks by geoelectrical data

Akbariforouz, Mohammadreza1,2; Zhao, Qi2; Taherdangkoo, Reza3; Baghbanan, Alireza4; Butscher, Christoph3; Zheng, Chunmiao1,5

2023-04-01

10.1007/s12665-023-10835-0

ENVIRONMENTAL EARTH SCIENCES   Impact Factor & Quartile

1866-6280

1866-6299

Squeezing is time-dependent deformation that can cause technical difficulties and financial consequences in underground structures. This study employs electrical resistivity data to predict squeezing intensity along the Beheshtabad tunnel in the Sanandaj-Sirjan zone in Iran. For comparison analysis, a semi-empirical approach was correlated with numerical modeling to predict tunnel squeezing at the design stage. The squeezing intensity obtained for the Beheshtabad tunnel was then compared with the instability observations along the Golab tunnel excavated in sedimentary rocks of the same zone. We developed a relationship between electrical resistivity and strains and provided a new strain-based squeezing classification system. The calibrated electrical data produced more accurate results for predicting tunnel squeezing than the conventional methods. The results show that rock type, joint properties, and water saturation impact squeezing.

Squeezing Electrical resistivity Semi-empirical approach Strain-based classification system

SCI

English

Others

Environmental Sciences & Ecology ; Geology ; Water Resources

Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources

WOS:000949396000001

SPRINGER

Web of Science

1.EIT Inst Adv Study, Ningbo, Peoples R China
2.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hung Hom, Kowloon, Hong Kong, Peoples R China
3.TU Bergakademie Freiberg, Inst Geotech, Gustav Zeuner Str 1, D-09599 Freiberg, Germany
4.Isfahan Univ Technol IUT, Dept Min Engn, Esfahan, Iran
5.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Environm Protect Key Lab Integrated Surface Water, Shenzhen, Peoples R China

Akbariforouz, Mohammadreza,Zhao, Qi,Taherdangkoo, Reza,et al. Prediction of tunnel squeezing in soft sedimentary rocks by geoelectrical data[J]. ENVIRONMENTAL EARTH SCIENCES,2023,82(7).

Akbariforouz, Mohammadreza,Zhao, Qi,Taherdangkoo, Reza,Baghbanan, Alireza,Butscher, Christoph,&Zheng, Chunmiao.(2023).Prediction of tunnel squeezing in soft sedimentary rocks by geoelectrical data.ENVIRONMENTAL EARTH SCIENCES,82(7).

Akbariforouz, Mohammadreza,et al."Prediction of tunnel squeezing in soft sedimentary rocks by geoelectrical data".ENVIRONMENTAL EARTH SCIENCES 82.7(2023).