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岩体质量评价的分形插值模型
  • ISSN号:1672-7207
  • 期刊名称:《中南大学学报:自然科学版》
  • 时间:0
  • 分类:TU451[建筑科学—岩土工程;建筑科学—土工工程]
  • 作者机构:[1]北京工业大学抗震减灾研究所,北京100124, [2]北京工业大学建筑工程学院,北京100124
  • 相关基金:国家十二五科技支撑计划项H(2011BAK07801,2011BAJ08803,2011BAJ08805);国家自然科学基金资助项目(51208017) 中国博士后科学基金资助项目(2011M500199)北京市博士后工作经费资助项目(2012ZZ-17)
中文摘要:

岩体质量分类是一个复杂的不确定系统问题,为准确评价岩体质量所处的分类状态,进而为岩体质量的防治提供科学依据,提出基于分形一插值模型的岩体质量评价方法。该方法首先选取影响岩体质量评价的8个主要因素,根据分类标准,采用在每级标准中随机内插的方法,得到50个标准样本,用于构建岩体质量评价的分形一插值模型;其次,根据最大似然分类原则确定每个岩体质量评价指标的评价分维数;然后,利用加权求和法计算样本的综合评价值,并根据样本综合评价值与经验等级之间的关系建立分形一插值评价模型;最后,通过实例分析表明:该模型的评价结果是准确和可靠的,与采用其他分类方法所得结论一致。此外,该模型可以得出每个样本的具体得分值,即使对属于同一级的样本也可以排出它们的优劣顺序,因而具有较高的分类精度,为岩体质量评价提供了一种较好的新方法。

英文摘要:

Evaluation of rock mass quality is a complex system problem with uncertainty. For the sake of accurate evaluation of the estate of rock mass quality, and to provide scientific basis for the prevention of rock mass quality, the evaluating method for rock mass quality based on fractal interpolation theory was brought forward. Firstly, eight key factors were chosen to construct the model. In addition, because of few standard samples, fifty standard samples were produced by the way of stochastic interpolation on basis of classification standard. Secondly, through calculating the fractal dimension of single index of rock mass quality, the fractal dimension exponent evaluation of the index of single rock mass quality with the maximum likelihood classification principle was confirmed. Thirdly, adopting weighted summation value this method calculated the level of the colligate estimation of multi-index of rock mass quality and established the fractal interpolation evaluation model according to the relationship between the value of comprehensive evaluation of the samples and the experience level. Finally, four samples were classified based on the model. The classification results are consistent with that from other methods. It is shown that the model here is feasible and effective in evaluating rock mass quality. Moreover, particular score of each sample can be computed by the model, and so it has more precise classification and is a better new method.

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期刊信息
  • 《中南大学学报:自然科学版》
  • 北大核心期刊(2011版)
  • 主管单位:教育部
  • 主办单位:中南大学
  • 主编:黄伯云
  • 地址:湖南长沙中南大学校本部
  • 邮编:410083
  • 邮箱:zngdxb@csu.edu.cn
  • 电话:0731-88879765
  • 国际标准刊号:ISSN:1672-7207
  • 国内统一刊号:ISSN:43-1426/N
  • 邮发代号:42-19
  • 获奖情况:
  • 首届全国优秀科技期刊评比一等奖,第二届全国优秀科技期刊评比一等奖,首届中国有色金属工业优秀科技期刊评比一等奖
  • 国内外数据库收录:
  • 美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,英国科学文摘数据库,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:20874