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An Empirical Equation for Tunnel Squeezing Prediction in Weak Rock Masses

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This analysis demonstrates an empirical equation predicting tunnel squeezing in weak rock masses, suggesting improved estimation methods.

The proposed empirical equation predicts tunnel squeezing with over 80% accuracy, indicating its effectiveness.
It incorporates rock mass quality, maximum in‐situ stress, and support stiffness as primary factors in the prediction.
The study is based on data from 342 different cases across four tunnels excavated in weak rock masses.
Results support the notion that low overburden thickness coupled with high tectonic effects increases squeezing risks.

Poşluk et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

This analysis demonstrates an empirical equation predicting tunnel squeezing in weak rock masses, suggesting improved estimation methods.

The proposed empirical equation predicts tunnel squeezing with over 80% accuracy, indicating its effectiveness.
It incorporates rock mass quality, maximum in‐situ stress, and support stiffness as primary factors in the prediction.
The study is based on data from 342 different cases across four tunnels excavated in weak rock masses.
Results support the notion that low overburden thickness coupled with high tectonic effects increases squeezing risks.

Poşluk et al. (2025) studied this question.

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