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基于熵权属性识别模型的岩体可爆性分级评价 被引量:41

Assessment of classification for rock mass blastability based on entropy coefficient of attribute recognition model
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摘要 为克服在岩体可爆性分级评价中确定评价指标权重系数带有专家打分的主观偏向性,利用Shannon熵理论客观地确定可爆性评价指标的熵权系数,并结合属性识别理论,建立工程爆破中岩体可爆性分级判别的属性识别模型;选取岩石的密度、抗拉强度、冲击动载强度以及岩体完整性系数作为属性识别的判别指标;以14组岩体实测数据进行分级判别,建立属性空间矩阵并根据信息熵理论计算各评判指标的权重,计算属性测度,利用置信度准则和评分准则对模型进行识别。研究结果表明:熵权属性识别模型可以有效地解决岩体可爆性难易程度的评判问题,且评价结果合理,为工程爆破中岩体可爆性分级评价提供了一条新思路。 In order to overcome subjective and erroneous tendency problem of experts determination method in assessment of classification for rock mass blastability, the attribute recognition model of assessment of classification for rock mass blastability in engineering blasting was established based on the theory of attribute mathematical theory. The entropic coefficinte of rock mass blastability assessment indicators was determined using Shannon entropy theory. The specific density, tensile strength, impact dynamic strength and intactness coefficient of rock mass were chosen as the criterion indices for rock mass blastability classification. The indices functions of unascertained measurement of 14 sets of rock mass samples were established in the classified distinction, the attribute space matrix and the weight were determined, and attribute measurement was calculated. The model was evaluated with confidence criterion and score criterion. The results show that the proposed model is suitable to evaluate rock mass blastability with reasonable conclusion, which offers a new thought to the research of rock mass blastability classification method in engineering blasting.
出处 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2010年第1期251-256,共6页 Journal of Central South University:Science and Technology
基金 国家"十一五"科技支撑计划项目(2006BAB02A02) 中南大学学位论文创新基金资助项目(2009ssxt230)
关键词 岩体可爆性分级 属性识别 rock mass blastability classification entropy attribute recognition
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