Abstract
The risk assessment of rockburst intensity is significant for tunnel construction safety. First, the depth of the rockburst (X1), the uniaxial compressive strength of the rocks (X2), the brittleness coefficient of the rocks (X3), the stress coefficients of the rocks (X4), and the elastic energy index (X5) are adopted as the evidence body, and their essential certainty and reliability is determined using the entropy-gray correlation theory. Second, the synthetic certainty reliability of other samples is calculated based on the evidence theory. Relatively to the traditional gray extension model, it can improve the predictive accuracy and determine the certainty and reliability of different evidence bodies. The difference of importance between other evidence bodies can be reflected; and an interval scale can be taken into consideration in the evaluation process, so the proposed theory can reasonably predict the grade criterion which is interval form. Conclusion demonstrated that the suggested approach is entirely consistent with the actual investigation. The proposed model not only considers the unreliability or reliability of the problem but also solves some degrees of uncertainty and ambiguity of the datum; it enhances the predictive efficiency and provides a new way and thought for future risk assessment of rockburst intensity.
Subject
General Earth and Planetary Sciences
Reference32 articles.
1. Application of attribute synthetic evaluation system in prediction of possibility and classification of rock burst;Chang-ping;Eng. Mech.,2008
2. A model for prediction of rock burst by artificial neural network;Chen;Chin. J. Geotechnical Eng.,2002
3. The enhanced extended finite element method for the propagation of complex branched cracks;Chen;Eng. Analysis Bound. Elem.,2019
4. Prediction of tunnel rockburst based on AHP-FUZZY method;Chen;J. China Coal Soc.,2008
5. Application of long-range cross-hole acoustic wave detection Technology in geotechnical engineering detection: case studies of tunnel-surrounding rock, foundation and subgrade;Dong;Sustainability,2022