基于权重融合的多维云模型岩爆预测研究
投稿时间:2019-11-25  修订日期:2019-12-31  点此下载全文
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作者单位E-mail
杨伟 华北理工大学 1417705803@qq.com 
中文摘要:岩爆是地下空间开发和矿业工程中主要工程地质灾害之一,岩爆倾向性预测是必须解决的岩石工程的重大问题。针对岩爆预测过程中多因素综合影响的特点,采用云雾化理论对权重融合的合理性进行检验,获得检验通过的综合权重,采用多维云模型岩爆预测方法,生成综合多种指标的等级综合云。最后,通过若干组国内外典型岩爆实例验证模型的可靠性和实用性,并与CRITIC-云模型、熵权-云模型和RS-TOPSIS模型对比,结果表明:基于云模型理论的权重融合方法能获得更为合理的综合权重,多维云模型应用于岩爆倾向性预测是有效的,可以直观、快速有效的判定岩爆烈度分级。
中文关键词:岩爆  岩爆倾向性预测  权重融合  多维云模型
 
The multidimensional cloud model based on weighted fusion rock burst prediction research
Abstract:Rockburst is one of the major engineering geological hazards in underground space development and mining. Rockburst propensity prediction is a major problem in rock engineering that must be solved. Aiming at the characteristics of multi-factor comprehensive influence in the process of rockburst prediction, the cloud atomization theory is used to test the rationality of weight fusion, and the comprehensive weight of the test is obtained. A multi-dimensional cloud model rockburst prediction method is used to generate a hierarchical integrated cloud that integrates multiple indicators. Finally, the reliability and practicability of the model are verified by several sets of typical rockburst examples at home and abroad, and compared with CRITIC-cloud model, entropy-cloud model and RS-TOPSIS model. The results show that the weighted fusion method based on cloud model theory can obtain more reasonable comprehensive weights. The multi-dimensional cloud model is effective for rockburst propensity prediction, and it can be used to determine the rockburst intensity classification intuitively, quickly and effectively.
keywords:rockburst  prediction of rockburst tendency  weight fusion  multidimensional cloud model  
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