Rockburst prediction model based on comprehensive weight and extension methods and its engineering application
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ORIGINAL PAPER
Rockburst prediction model based on comprehensive weight and extension methods and its engineering application Lewen Zhang 1 & Xiangyu Zhang 1 & Jing Wu 1,2 & Dukun Zhao 1 & Hao Fu 1 Received: 17 August 2019 / Accepted: 26 May 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract In view of the dynamic instability of rock mass in high geostress areas during underground engineering excavation, the comprehensive weight and extension methods are adopted to research the rockburst prediction. Firstly, five main influencing factors including uniaxial compressive strength, stress coefficient, brittleness coefficient, elastic energy index, and integrity of rock mass are used as the evaluation indexes of rockburst prediction according to the conditions required for rockburst occurrence. The assessment index system of rockburst intensity is constituted. Secondly, the analytic hierarchy process (AHP) and variation coefficient methods are used to determine the comprehensive weight of evaluation index, and the rockburst prediction model is established based on the extension evaluation method. Thirdly, the parameter programming and numerical calculation of the proposed prediction model are carried out in the MATLAB software. The user visualization execution window and software system of rockburst prediction model are realized. Finally, the software system is applied to the rockburst prediction in the water diversion tunnels of Jiangbian hydropower station and Jinping secondary hydropower station. The prediction results are compared with the actual situation and other evaluation methods. The results show that (i) the establishment of the user visualization window realizes the visualization and systematization of rockburst prediction model, which improves the data import rate and calculation efficiency. (ii) The prediction results of the proposed software system agree well with the actual situation, and they are more accurate than other evaluation methods. (iii) The proposed software system of rockburst prediction can also be used in coal mine, metro, and other underground projects, which has good engineering application values. Keywords Rockburst prediction . Comprehensive weight and extension methods . User visualization window . Software system . Engineering application
Introduction Rockburst is one of the geological hazards of dynamic instability under high geostress conditions during underground engineering excavation (Li et al., 2007; Zhou et al., 2015). The stress release of hard and brittle surrounding rock is caused by excavation unloading, which makes the elastic strain energy stored in rock mass suddenly release, thus resulting in the phenomena of burst loosening, spalling, ejection, and even * Jing Wu [email protected] 1
Institute of Marine Science and Technology, Shandong University, Qingdao 266237, Shandong, China
2
State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
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