An Intelligent Approach to Predict the Squeezing Severity and Tunnel Deformation in Squeezing Grounds
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40515-024-00434-2.pdf
Reference81 articles.
1. Abedini, M., Ghasemian, B., Shirzadi, A., Bui, D.T.: A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling. Environ. Earth Sci. 78, 1–15 (2019). https://doi.org/10.1007/S12665-019-8562-Z
2. Adoko, A.C., Jiao, Y.Y., Wu, L., Wang, H., Wang, Z.H.: Predicting tunnel convergence using multivariate adaptive regression spline and artificial neural network. Tunn. Undergr. Space Technol. 38, 368–376 (2013). https://doi.org/10.1016/J.TUST.2013.07.023
3. Ahmad, M., Katman, H.Y., Al-Mansob, R.A., Ahmad, F., Safdar, M., Alguno, A.C.: Prediction of rockburst intensity grade in deep underground excavation using adaptive boosting classifier. Complexity 2022, 1–10 (2022). https://doi.org/10.1155/2022/6156210
4. Akbariforouz, M., Zhao, Q., Chen, K., Baghbanan, A., Narimani Dehnavi, R., Zheng, C.: Statistical study of squeezing for soft rocks based on factor and regression analyses of effective parameters. International Journal of Rock Mechanics and Mining Sciences. 163, 105306 (2023). https://doi.org/10.1016/J.IJRMMS.2022.105306
5. Aydan, O., Akagi, T., Kawamoto, T.: The squeezing potential of rocks around tunnels; theory and prediction. Rock Mech. Rock Eng. 1993 26:2. 26, 137–163 (1993). https://doi.org/10.1007/BF01023620
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