Maximum surface settlement induced by shallow tunneling in layered ground
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- Category: Contens №5 2020
- Last Updated on 31 October 2020
- Published on 30 October 2020
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Authors:
A.Boustila, orcid.org/0000-0002-1108-5105, Badji Mokhtar University, Laboratory of Natural Resource and Planning, Annaba, Algeria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.
A.Hafsaoui, orcid.org/0000-0002-1720-9527, Badji Mokhtar University, Laboratory of Natural Resource and Planning, Annaba, Algeria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
M.Fredj, orcid.org/0000-0002-0560-4941, Badji Mokhtar University, Laboratory of Natural Resource and Planning, Annaba, Algeria; Abderrahmane Mira University, Bejaia, Algeria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
S.Yahyaoui, orcid.org/0000-0002-9278-7562, Badji Mokhtar University, Laboratory of Natural Resource and Planning, Annaba, Algeria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020, (5): 055-060
https://doi.org/10.33271/nvngu/2020-5/055
Abstract:
Purpose. To improve the prediction of maximum surface settlement induced by tunneling in multi-layered soils. At the design stage, geotechnical experts tend to use simplified formulas for evaluating the ground response.
Methodology. To examine the accuracy of empirical equations in predicting maximum surface displacement, two widely adopted formulas are considered for the current study: “Volume Loss” and “Farmer and Attewell”. Moreover, because both equations are “inflection ratio” dependants, all existing expressions of the inflection parameter are taken in consideration. Finally, the obtained results are compared with field measurements, and the best pair of the expressions (“MSS” and “inflection ratio”) is chosen.
Findings. Prediction of the maximum surface settlement due to shallow tunneling in soft grounds is a valuable indicator in ensuring safe operations, particularly in urban areas. The current paper clarifies the advantage of the VL method over Farmer and Attewell for all scenarios (variable overburden); high values of the VL improve the predictions significantly when it is combined with Dindarloo formulation of inflection ratio.
Originality. The originality of this work is the examination of the most adopted empirical methods and all inflection point formulas, to estimate the maximum surface settlement induced by the construction of ‘Algiers Subway System’ tunnel project; also, the paper demonstrated the weakness of some mostly used approaches through practical measurements.
Practical value. Because of the lack of data in geotechnical engineering, this paper is a rich resource for tunneling projects in future because it covers over sixty measurement transverse profiles, and suggests numerical values for better assessment.
References.
1. Andrea, F., & Marshall, A. M. (2019). Empirical and Semi-Analytical Methods for Evaluating Tunnelling-Induced Ground Movements in Sands. Tunnelling and Underground Space Technology, 88, 47-62. https://doi.org/10.1016/j.undsp.2019.03.005.
2. Wang, H. N., Chen, X. P., Jiang, M. J., Song, F., & Wu, L. (2018). The Analytical Predictions on Displacement and Stress around Shallow Tunnels Subjected to Surcharge Loadings. Tunnelling and Underground Space Technology, 71, 403-427. https://doi.org/10.1016/j.tust.2017.09.015.
3. Zhanping, S., Tian, X., & Zhang, Y. (2019). A New Modified Peck Formula for Predicting the Surface Settlement Based on Stochastic Medium Theory. Advances in Civil Engineering, ID7328190. https://doi.org/10.1155/2019/7328190.
4. Maji, V. B., & Adugna, A. (2016). Numerical modelling of tunnelling induced ground deformation and its control. International Journal of Mining and Geo-Engineering, 50(2), 183-188. https://dx.doi.org/10.22059/ijmge.2016.59827.
5. Kwong, A. K. L., Ng, C. C. W., & Schwob, A. (2019). Control of settlement and volume loss induced by tunneling under recently reclaimed land. Underground Space, 04(4), 289-301. https://doi.org/10.1016/j.undsp.2019.03.005.
6. Vu, M. N., Broere, W., & Bosch, J. (2016). Volume loss in shallow tunnelling. Tunnelling and Underground Space Technology, 59, 77-90. https://doi.org/10.1016/j.tust.2016.06.011.
7. Shiau, J., & Mathew, S. (2019). Relating Volume Loss and Greenfield Settlement. Tunnelling and Underground Space Technology, 83, 145-152. https://doi.org/10.1016/j.tust.2018.09.041.
8. Attewell, P. B., & Farmer, I. W. (1974). Ground Deformations Resulting from Shield Tunnelling in London Clay. Canadian Geotechnical Journal, 11(3), 380-395. https://doi.org/10.1139/t74-039.
9. Ahmed, M., & Iskander, M. (2011). Analysis of Tunneling-Induced Ground Movements Using Transparent Soil Models. Journal of Geotechnical and Geoenvironmental Engineering, 137(5), 525-535. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000456.
10. Dindarloo, S. R., & Siami-Irdemoosa, E. (2015). Maximum surface settlement based classification of shallow tunnels in soft ground. Tunnelling and Underground Space Technology, 49, 320-327. https://doi.org/10.1016/j.tust.2015.04.021.
11. Pinto, F., Whittle, A. J., & Asce, M. (2014). Ground Movements due to Shallow Tunnels in Soft Ground. I: Analytical Solutions. Journal of Geotechnical and Geoenvironmental Engineering, 140(4), 1-17. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000948.
12. Wang, F., Miao, L., Yang, X., Du, Y., & Liang, F. (2016). The volume of settlement trough change with depth caused by tunneling in sands. Geotechnical Engineering, 20, 2719-2724. https://doi.org/10.1007/s12205-016-0250-x.
13. Kolivand, F., & Rahmannejad, R. (2017). Determination of settlement trough width and optimization of soil behavior parameters based on the design of experiment method (DOE). International Journal of Mining and Geo-Engineering, 52(1), 7-15. https://doi.org/10.22059/ijmge.2017.240572.594693.
14. Wang, X., Weijia, T., Pengpeng, N., Zheng, Ch., & Shaowei, H. (2020). Propagation of Settlement in Soft Soils Induced by Tunneling. Tunnelling and Underground Space Technology, 99. https://doi.org/10.1016/j.tust.2020.103378.
15. Tashayo, B., Behzadafshar, K., Soltani, M., Tehrani, H., & Banayem, A. (2019). Feasibility of Imperialist Competitive Algorithm to Predict the Surface Settlement Induced by Tunneling. Engineering with Computers, 35(3), 917-923. https://doi.org/10.1007/s00366-018-0641-3.
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