Structural damage assessment criteria for reinforced concrete buildings by using a Fuzzy Analytic Hierarchy process

被引:39
|
作者
Hamdia, Khader M. [1 ]
Arafa, Mohammed [2 ]
Alqedra, Mamoun [2 ]
机构
[1] Bauhaus Univ Weimar, Inst Struct Mech, D-99423 Weimar, Germany
[2] Islamic Univ Gaza, Dept Civil Engn, Gaza, Palestine
关键词
Assessment criteria; Uncertainty; Fuzzy logic; Analytic hierarchy process; Building evaluation; ARBITRARY EVOLVING CRACKS; MULTICRITERIA ANALYSIS; FRACTURE-TOUGHNESS; MESHFREE METHOD; SELECTION; MODELS; SYSTEM;
D O I
10.1016/j.undsp.2018.04.002
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Reinforced concrete structures are often exposed to many types of damages and deteriorations due to different causes and exposure conditions during their life cycle. Assessment of such structures is inherently subjected to uncertainty and ambiguity, where subjective opinion and incomplete numeric data are unavoidable. In the damage assessment process, estimating the importance of assessment criteria is an important field in itself, and depends heavily on the experience and expertise of experts. The aim of this study is to present a fuzzy-based assessment model, which estimates the importance of structural assessment criteria for concrete buildings. The work aims also at studying, identifying, and prioritizing assessment criteria. These assessment criteria are based on close visual inspections and simple measurements that do not require special testing or long-term investigation. The main assessment criteria include the state of building history, environmental conditions, structural capacity, durability, and professional involvement in construction. Each of them has two levels of sub-criteria. The criteria weights are obtained based on the opinions of experts using the Fuzzy Analytic Hierarchy Process (FAHP) method. The application of the FAHP method showed that the most important criteria is the structural capacity with a weighting factor of 50.1%, followed by the environmental condition as second, with a weighting factor of 22.5%. (C) 2018 Tongji University and Tongji University Press. Production and hosting by Elsevier B.V. on behalf of Owner.
引用
收藏
页码:243 / 249
页数:7
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