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

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。

Quality optimization of concrete recycled coarse aggregate based on information entropy and uncertainty measurement theory

With the acceleration of China's urbanization drive,construction wastes are on the rise.The application of recycled coarse aggregate could reduce the increasing construction wastes and save abundant sand resources.In order to sort and optimize the quality of recycled coarse aggregate,the quality evaluation model of recycled coarse aggregate is established based on the information entropy theory.The evaluation index system and single-index measurement functions are determined on the basis of Recycled Coarse Aggregate for Concrete.The weights of these indices are obtained from the information entropy theory.The evaluation matrix of single-index measurement and multiple-index evaluation vector are calculated according to the field data.The quality grade is assessed with credible recognition criteria.An analysis instance is shown,which verified the effectiveness of the proposed model.The result shows that the information entropy and uncertainty measurement theory can be applied to quality evaluation of single sample and distinguish quality of the same grade.