Prediction of tunnel boring machine penetration rate using ant colony optimization, bee colony optimization and the particle swarm optimization, case study: Sabzkooh water conveyance tunnel
Author:
Publisher
Dnipro University of Technology
Subject
Geochemistry and Petrology,Geotechnical Engineering and Engineering Geology
Link
http://mining.in.ua/articles/volume14_2/09.pdf
Reference60 articles.
1. Adoko, A.C., Gokceoglu, C., & Yagiz, S. (2017). Bayesian prediction of TBM penetration rate in rock mass. Engineering Geology, (226), 245-256. https://doi.org/10.1016/j.enggeo.2017.06.014
2. Afrasiabi, N., Rafiee, R., & Noroozi, M. (2019). Investigating the effect of discontinuity geometrical parameters on the TBM performance in hard rock. Tunnelling and Underground Space Technology, (84), 326-333. https://doi.org/10.1016/j.tust.2018.11.039
3. Yin, L.J., Gong, Q.M., & Zhao, J. (2014). Study on rock mass boreability by TBM penetration test under different in situ stress conditions. Tunnelling and Underground Space Technology, (43), 413-425. https://doi.org/10.1016/j.tust.2014.06.002
4. Armaghani, D.J., Koopialipoor, M., Marto, A., & Yagiz, S. (2019). Application of several optimization techniques for estimating TBM advance rate in granitic rocks. Journal of Rock Mechanics and Geotechnical Engineering, 11(4), 779-789. https://doi.org/10.1016/j.jrmge.2019.01.002
5. Armaghani, D.J., Mohamad, E.T., Narayanasamy, M.S., Narita, N., & Yagiz, S. (2017). Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition. Tunnelling and Underground Space Technology, (63), 29-43. https://doi.org/10.1016/j.tust.2016.12.009
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