摘要
为了更加准确地对泵站建筑物进行安全评价,利用标准遗传算法、层次分析法和模糊评价方法研究泵站建筑物的安全综合评价方法.首先采用从定性到定量的综合集成的方法,结合专家知识、检测数据和各种信息,分析得到安全评价值从而建立模糊综合评价矩阵;然后利用标准遗传算法、层次分析法建立的遗传层次分析法确定评价指标的权重向量;最后利用模糊综合评价模型进行模糊合成,得到泵站建筑物的安全评价结果.对临洪西泵站工程建筑物进行了安全综合评价,模糊综合评价结果向量S为(0.313 6,0.356 2,0.247 1,0.083 1),根据最大隶属度原则,Smax为0.356 2对应第2个评语,则综合评价结果为基本安全,属于二类建筑物.结果表明:临洪西泵站工程建筑物总体上达到设计标准,满足安全运用的要求.评价结果与通常方法评价结果一致,说明遗传模糊安全评价模型的可行性.
A comprehensive method for evaluating pumping station buildings safety was studied by u- sing the standard genetic algorithm (GA), analytic hierarchy process (AHP) and fuzzy evaluation method so as to assess the buildings more precisely. Firstly, the numerical values for evaluating pum- ping station buildings safety were obtained and then a fuzzy comprehensive evaluation matrix was estab- lished by using the comprehensive integration method from qualitative to quantitative and by conside- ring expert knowledge, inspection data and all other information. Secondly, the weight vector to eva- luate index was determined with the standard genetic algorithm and AHP. Finally, the fuzzy compre- hensive evaluation model was generated, through which a result of pumping station buildings safety e- valuation could be worked out. For the buildings in Linhong west pumping station, the fuzzy compre- hensive evaluation resultant vector is S = (0. 313 6, 0. 356 2.0. 247 1,0. 083 1 ) ; according to the maximum membership degree principle, S is O. 356 2, which corresponds to the 2nd comment-safe basically, thus the buildings in that station fall into the 2nd Class. This suggests that the buildings of that station meet the design standards and the safety requirements for operation as a whole. This con- clusion is consistent with the one obtained by using usual evaluation methods, indicating the fuzzy com- prehensive evaluation model is feasible.
出处
《排灌机械工程学报》
EI
北大核心
2013年第1期41-45,共5页
Journal of Drainage and Irrigation Machinery Engineering
基金
江苏省教育厅指导性项目(10KJD570001)
关键词
泵站建筑物
临洪西泵站
安全综合评价
遗传层次分析法
模糊综合评价模型
pumping station buildings
Linhong west pumping station
safety comprehensive evaluation
genetic algorithm-analytic hierarchy process
fuzzy comprehensive evaluation model