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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。
With the accelerating process of urbanization in China, production of construction waste will be more and more. The application of recycled concrete not only can solve the increasing problem of construction waste, but also save a lot of gravel resources. In order to sort and optimize the quality of recycled aggregate, the quality evaluation model of recycled aggregate is established based on information entropy - unascertained measure theory. According to the standard of recycled aggregate concrete, the evaluation index system and single index measurement function are determined. The information entropy theory is used to determine the weight of each index and the single index measurement evaluation matrix and multi-index measurement evaluation vector are calculated according to the sample results of each index. Confidence level identification criteria for quality grade evaluation and application of case analysis to test the effectiveness of the method. The results show that the theory of information entropy and unascertained measure can not only evaluate the quality of a single sample, but also rank the quality of the samples whose evaluation results are in the same level.