基于Gray-AHP算法的装配式建筑安全风险因素挖掘方法  

Mining Method of Safety Risk Factors for Prefabricated Buildings Based on Gray-AHP Algorithm

作　　者：吴燕秋 季园园 WU Yan-qiu;JI Yuan-yuan(School of Economics and Management,Bengbu University,Bengbu 233030,China)

机构地区：[1]蚌埠学院经济与管理学院,安徽蚌埠233030

出　　处：《辽东学院学报（自然科学版）》2024年第2期105-112,共8页Journal of Liaodong University:Natural Science Edition

基　　金：蚌埠学院科学研究重点项目(2021SK01zd)。

摘　　要：为降低各装配式建筑安全风险指标权向量计算精准性对最终挖掘性能的影响,提出基于灰色层次分析算法的装配式建筑安全风险因素挖掘方法。根据装配式建筑施工环境以及施工条件,分析项目建设各阶段的风险影响因素,设立风险影响因素指标体系;使用灰色层次分析算法构造层次结构模型,将归一化后的指标最大特征值作为权向量,并计算各影响因素对建筑安全风险的重要性程度;求取各风险因素对建筑安全风险的综合影响值,进而实现对建筑风险因素的挖掘。算例应用结果表明,相较于其他方法,所提方法的约登指数较高,始终在30以上;挖掘建筑安全风险因素时的效率较高,平均效率高于98%。To reduce the impact of the accuracy of weight vector calculation for safety risk indicators of prefabricated buildings on the final mining performance,a prefabricated building safety risk factor mining method based on Gray-AHP algorithm is proposed.Based on the actual construction environment and construction conditions,the relevant influencing factors of risk factors were analyzed,and a risk influencing factor indicator system was established.Build A structural hierarchy model using the grey hierarchy analysis algorithm was built,and the maximum eigenvalue of the normalized indicators was used as the weight vector to calculate the importance of each influencing factor on building safety risks.Based on this,the comprehensive impact value of each risk factor on building safety risk was obtained,and then the mining of building risk factors were achieved.The application results of the example show that the proposed method obtains a higher Jordan index,always above 30 and a higher efficiency of mining building safety risk factors around 98%.

关 键 词：灰色层次分析 装配式建筑 安全风险因素 挖掘方法 

分 类 号：TU741[建筑科学—建筑技术科学]