论文部分内容阅读
目前,对于供热管网地下构筑物的可靠度评定还没有一种可靠有效的评价手段,依旧停留在依靠工程师的经验进行判断的阶段。为了弥补这方面的不足,本文引入模糊数学对结构的可靠度进行研究,进而实现对现状结构的可靠度的评价与分级。首先,结合热力结构的特点,根据病害因素对结构耐久性的影响程度按AHP法建立权重集;然后,根据对结构使用功能的影响和环境因素建立隶属度函数,结合检测数据构建模糊关系矩阵,通过权重集及关系矩阵求得评价向量;最后,为综合利用评价向量中各分量的信息,引入贴近度分析法解决等级划分问题。通过对57处已检测的热力地下结构进行评级,结果表明,模糊评价方法能够有效地预测热力结构可靠度,可为后期结构改造提供理论支撑。
At present, there is no reliable and effective evaluation method for the reliability assessment of the underground structures of heating pipelines, and still remain in the stage of relying on the experience of engineers. In order to make up for the deficiency in this aspect, fuzzy mathematics is introduced in this paper to study the reliability of the structure and to evaluate and classify the reliability of the current structure. First of all, according to the characteristics of the thermal structure, the AHP method is used to establish the weight set according to the degree of influence of the disease factors on the durability of the structure. Secondly, the membership function is established based on the influence of the structure function and the environmental factors, Finally, in order to comprehensively utilize the information of each component in the evaluation vector, a closeness analysis method is introduced to solve the classification problem. The results of the evaluation of 57 thermal underground structures show that the fuzzy evaluation method can effectively predict the reliability of thermal structures and provide theoretical support for the structural reconstruction in the later stage.