Application of Fuzzy Concepts to the Visual Assessment of Deteriorating Reinforced Concrete Structures

Application of Fuzzy Concepts to the Visual Assessment of Deteriorating Reinforced Concrete Structures
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DOI:
10.1061/(asce)co.1943-7862.0000430
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发表时间:
2012-03
期刊:
Journal of Construction Engineering and Management-asce
影响因子:
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通讯作者:
K. Jain;B. Bhattacharjee
K. Jain;B. Bhattacharjee
中科院分区:
其他
文献类型:
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作者:
K. Jain;B. Bhattacharjee

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使用目视检查获得的数据本质上是定性和主观的。报告的方法利用模糊集建模的定性数据。首先对钢筋混凝土结构的各种劣化机制和相关的修复优先级(条件)进行了分类。针对相关数据的主观性,通过问卷调查的方式,从专家那里获得了针对不同遇险表现的适用维修优先级的独立响应。从问卷调查中获得的数据,随后用于开发相应的模糊隶属函数(MF)。根据编制的指南,对结构的每个退化元件单独记录各种特征性损坏表现(基于退化机制)的目视检查数据。记录的数据用于选择相应的MF。选定的MF相结合,根据建议的模糊规则使用…
Data obtained using visual inspection are qualitative and subjective in nature. Reported methodology utilizes fuzzy sets for modeling qualitative data. Characteristic distress manifestations corresponding to various deterioration mechanisms in RC structures and associated repair priorities (conditions) are first classified. To deal with the subjective nature of associated data, independent responses on applicable repair priorities for different distress manifestations are obtained from experts through questionnaire survey. Data obtained from questionnaire responses are subsequently used for the development of corresponding fuzzy membership functions (MFs). Visual-inspection data for various characteristic distress manifestations (on the basis of deterioration mechanism) are recorded individually for every deteriorating element of the structure as per the prepared guidelines. Recorded data are used for the selection of corresponding MFs. Selected MFs are combined according to the proposed fuzzy rule using ...