TY - JOUR
T1 - Prediction of tunnel squeezing in soft sedimentary rocks by geoelectrical data
AU - Akbariforouz, Mohammadreza
AU - Zhao, Qi
AU - Taherdangkoo, Reza
AU - Alireza, Baghbanan
AU - Butscher, Christoph
AU - Zheng , Chunmiao
N1 - Funding Information:
M. Akbariforouz is supported by the National Natural Science Foundation of China (no. 41890852), awarded to Chunmiao Zheng. Qi Zhao is supported by the FCE Start-up Fund for New Recruits at the Hong Kong Polytechnic University (P0034042) and the Early Career Scheme of the Research Grants Council of the Hong Kong Special Administrative Region, China (Project no. PolyU 25220021).
Funding Information:
We thank the editor and reviewers whose valuable comments and suggestions have led us to improve this manuscript. The authors acknowledge the cooperation with the Zayandab Consulting Engineers Company.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2023/4
Y1 - 2023/4
N2 - 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.
AB - 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.
KW - Electrical resistivity
KW - Semi-empirical approach
KW - Squeezing
KW - Strain-based classification system
UR - http://www.scopus.com/inward/record.url?scp=85150684153&partnerID=8YFLogxK
U2 - 10.1007/s12665-023-10835-0
DO - 10.1007/s12665-023-10835-0
M3 - Journal article
VL - 82
JO - Environmental Earth Sciences
JF - Environmental Earth Sciences
IS - 7
M1 - 159
ER -