Research on optimization strategy of TBM tunneling parameters based on stratum perception and simulation tunneling experiment
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference40 articles.
1. Prediction of TBM penetration rate using fuzzy logic, particle swarm optimization and harmony search algorithm;Afradi;Geotech. Geol. Eng.,2022
2. Application of several optimization techniques for estimating TBM advance rate in granitic rocks;Armaghani;J. Rock Mech. Geotech. Eng.,2019
3. Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches;Armaghani;Tunn. Undergr. Sp. Technol.,2021
4. Geological and mechanical rock mass conditions for TBM performance prediction. The case of “La Maddalena” exploratory tunnel, Chiomonte (Italy);Armetti;Tunn. Undergr. Sp. Technol.,2018
5. Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment;Bardhan;J. Rock Mech. Geotech. Eng.,2021
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