Development of a Semi-quantitative Framework to Assess Rockburst Risk Using Risk Matrix and Logistic Model Tree-Reference-Cited by-同舟云学术

Development of a Semi-quantitative Framework to Assess Rockburst Risk Using Risk Matrix and Logistic Model Tree

Published:2022-04-15 Issue:7 Volume:40 Page:3669-3685
ISSN:0960-3182
Container-title:Geotechnical and Geological Engineering
language:en
Short-container-title:Geotech Geol Eng

Author:

Kadkhodaei Mohammad Hossein,Ghasemi Ebrahim^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Link

https://link.springer.com/content/pdf/10.1007/s10706-022-02122-9.pdf

Reference64 articles.

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3. Adoko A, Zvarivadza T (2018) A bayesian approach for predicting rockburst. In: 52nd US rock mechanics/geomechanics symposium. American Rock Mechanics Association

4. Afraei S, Shahriar K, Madani SH (2018) Statistical assessment of rock burst potential and contributions of considered predictor variables in the task. Tunn Undergr Space Technol 72:250–271. https://doi.org/10.1016/j.tust.2017.10.009

5. Afraei S, Shahriar K, Madani SH (2019) Developing intelligent classification models for rock burst prediction after recognizing significant predictor variables, section 2: designing classifiers. Tunn Undergr Space Technol 84:522–537. https://doi.org/10.1016/j.tust.2018.11.011

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