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Geomechanics and Engineering
  Volume 28, Number 4, February25 2022 , pages 359-374
DOI: https://doi.org/10.12989/gae.2022.28.4.359
 


Forecasting tunnel path geology using Gaussian process regression
Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Sazan Nariman Abdulhamid,Hunar Farid Hama Ali, Hawkar Hashim Ibrahim and Shima Rashidi

 
Abstract
    Geology conditions are crucial in decision-making during the planning and design phase of a tunnel project. Estimation of the geology conditions of road tunnels is subject to significant uncertainties. In this work, the effectiveness of a novel regression method in estimating geological or geotechnical parameters of road tunnel projects was explored. This method, called Gaussian process regression (GPR), formulates the learning of the regressor within a Bayesian framework. The GPR model was trained with data of old tunnel projects. To verify its feasibility, the GPR technique was applied to a road tunnel to predict the state of three geological/geomechanical parameters of Rock Mass Rating (RMR), Rock Structure Rating (RSR) and Q-value. Finally, in order to validate the GPR approach, the forecasted results were compared to the field-observed results. From this comparison, it was concluded that, the GPR is presented very good predictions. The R-squared values between the predicted results of the GPR vs. field-observed results for the RMR, RSR and Q-value were obtained equal to 0.8581, 0.8148 and 0.8788, respectively.
 
Key Words
    engineering geology; Gaussian process regression; geomechanical parameters; tunneling; tunnel geology
 
Address
Arsalan Mahmoodzadeh and Hunar Farid Hama Ali: Department of Civil Engineering, University of Halabja, Halabja, Kurdistan Region, Iraq
Mokhtar Mohammadi: Department of Information Technology, College of Engineering and Computer Science,
Lebanese French University, Kurdistan Region, Iraq
Sazan Nariman Abdulhamid and Hawkar Hashim Ibrahim: Department of Civil Engineering, College of Engineering, Salahaddin University-Erbil, 44002 Erbil, Kurdistan Region, Iraq
Shima Rashidi: Department of Computer Science, College of Science and Technology, University of Human Development,
Sulaymaniyah, Kurdistan Region, Iraq
 

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