信息熵-未确知测度理论在混凝土再生粗骨料质量优选中的应用

发布时间：2018-05-13 14:38

  本文选题：粗骨料 + 未确知测度理论　； 参考：《土木建筑与环境工程》2017年05期

【摘要】：随着中国城镇化建设进程的加快,建筑垃圾的产量将越来越多,再生混凝土的应用不仅能够解决建筑废弃物日益增多的难题,而且可以节约大量的砂石资源。为了对混凝土再生粗骨料质量进行排序和优选,基于信息熵—未确知测度理论构建了混凝土再生粗骨料质量评价模型。根据《混凝土用再生骨料标准》确定评价指标体系和单指标测度函数;利用信息熵理论确定各指标的权重,依据各个指标的样本实测结果计算单指标测度评价矩阵和多指标测度评价向量;按照置信度识别准则进行质量等级评判并应用实例分析检验该方法的有效性。结果表明,信息熵未确知测度理论不仅可以对单个样本进行质量等级评价,还对评价结果处于同一级别内的样本质量的好坏进行排序。
[Abstract]:With the acceleration of urbanization construction in China the output of construction waste will be more and more. The application of recycled concrete can not only solve the problem of increasing construction waste but also save a lot of sand and stone resources. In order to sort and select the quality of recycled coarse aggregate of concrete, based on the theory of information entropy and unascertained measure, a model for evaluating the quality of recycled coarse aggregate of concrete was established. According to the Standard of recycled aggregate for concrete, the evaluation index system and single index measure function are determined, and the weight of each index is determined by using the information entropy theory. The single index measure evaluation matrix and multi-index measure evaluation vector are calculated according to the measured results of each index, and the quality grade is evaluated according to the confidence recognition criterion and the validity of the method is verified by an example analysis. The results show that the information entropy unascertained measure theory can not only evaluate the quality grade of a single sample, but also rank the quality of a sample with the same level of evaluation results.
【作者单位】： 兰州交通大学土木工程学院;
【基金】：长江学者和创新团队发展计划滚动资助项目(IRT-15R29)~~
【分类号】：TU528
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本文编号：1883615