基于监测数据和改进AHP-熵权法的空间结构健康状态评估
Health status evaluation of spatial structure based on health monitoring data and improved AHP-entropy weight method
王秀丽 1何金龙1
作者信息
- 1. 兰州理工大学土木工程学院,甘肃兰州 730050;兰州理工大学西部土木工程防灾减灾教育部工程研究中心,甘肃兰州 730050
- 折叠
摘要
为了评价空间结构的健康状态,考虑到空间结构的自身特点,以系统工程为理论基础,提出了一种基于健康监测数据和改进AHP-熵权法的模糊综合评价方法,并将此方法应用于兰州市某网球馆.首先利用层次分析法和熵权法分别确定评价指标的主客观权重,为合理融合直观经验与客观数据,将计算出的主客观权重中间过程相结合,标准化得到综合权重指标.应用梯形隶属度函数确定指标各状态等级的隶属度,最后采用从下往上、逐层递进的方法对空间结构展开健康状态评价.结果表明,此方法能准确反应空间结构建筑的健康状态.
Abstract
In order to evaluate the health status of spatial structure,a fuzzy comprehensive evaluation method was proposed based on health monitoring data and improved AHP-entropy weight method,considering the characteristics of spatial structure as well.The method was applied to a stadium in Lanzhou.Firstly,the analytic hierarchy process and entropy weight method are used to determine the subjective and objective weight of the evaluation index.In order to reasonably integrate the intuitive experience and objective data,the intermediate process of the calculated subjective and objective weight is combined and the comprehensive weight index is standardized.The trapezoidal distribution function was used to determine the membership degree of each state grade of the index.Finally,the health status evaluation of the spatial structure was carried out from bottom to top,step by step.The results show that this method can accurately reflect the health status of spatial structure buildings.
关键词
空间结构/健康状态评价/改进AHP-熵权法/多级模糊综合评价/梯形隶属度函数Key words
spatial structure/health status assessment/improved AHP-entropy weight method/multi-level fuzzy comprehensive evaluation/trapezoidal membership function引用本文复制引用
出版年
2024
NETL
NSTL
万方数据