Ensemble unit and AI techniques for prediction of rock strain
Author:
Publisher
Springer Science and Business Media LLC
Subject
Architecture,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11709-022-0831-3.pdf
Reference54 articles.
1. Bruning T, Karakus M, Nguyen G D, Goodchild D. An experimental and theoretical stress—strain—damage correlation procedure for constitutive modelling of granite. International Journal of Rock Mechanics and Mining Sciences, 2019, 116: 1–12
2. Yu P, Pan P Z, Feng G, Wu Z, Zhao S. Physico-mechanical properties of granite after cyclic thermal shock. Journal of Rock Mechanics and Geotechnical Engineering, 2020, 12(4): 693–706
3. Zhang G, Gao F, Wang Z, Yue S, Deng S. Quantifying the progressive fracture damage of granite rocks by stress—strain, acoustic emission, and active ultrasonic methods. Journal of Materials in Civil Engineering, 2021, 33(12): 04021353
4. Zhao K, Yu X, Zhou Y, Wang Q, Wang J, Hao J. Energy evolution of brittle granite under different loading rates. International Journal of Rock Mechanics and Mining Sciences, 2020, 132: 104392
5. Duan K, Ji Y, Wu W, Kwok C Y. Unloading-induced failure of brittle rock and implications for excavation-induced strain burst. Tunnelling and Underground Space Technology, 2019, 84: 495–506
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