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|Title||Expert System for Structural Evaluation of Reinforced Concrete Buildings in Gaza Strip Using Fuzzy Logic|
Reinforced concrete has become a universally dominant construction material in the past decades. The reinforced concrete structures are often exposed to many types of damages and deteriorations due to different causes and exposure conditions during their life cycle. Gaza Strip exposed to repeated military attacks. Such attacks have caused huge destructions and damages to buildings and structures. Assessment of such structures is inherently subjected to uncertainty and ambiguity, where subjective opinions and incomplete numeric data are unavoidable. This research presents an expert system for structural evaluation of reinforced concrete buildings in Gaza Strip with sufﬁcient ﬂexibility to allow an inexperienced engineer to work in the field of structural assessment. For establishing the system, the procedure incorporates combination of field observations, numerical calculations and expertise of experts. The problem of damage assessment is a kind of multi-criteria decision-making problem, wherein decisions must be made on the weighting to be given to the different assessment criteria. In this research, the assessment criteria is studied and identified based on close visual inspections and simple measurements that do not require special testing or long-term investigation. The main adopted assessment criteria are building history, environmental conditions, structural capacity, durability, and professional involvement in construction. Each of which has levels of sub-criteria. To estimate the weights of the criteria, Fuzzy Analytical Hierarchy Process (FAHP) is utilized. According to hierarchical classification of criteria, the developed expert system performs modularized stepwise assessment. To determine the state condition of a building, the evaluation of main criteria is processed from their detailed sub-criteria, and the evaluation of these detailed criteria is processed from more detailed sub-criteria in succession. The attributes of selected criteria are formalized quantitatively using fuzzy logic concepts with reference to building codes, former research, and properties of building materials. The inputs to the system are inspection results that are mostly linguistic variables and some numeric data concerning the selected categories for the assigned criterion. These inputs are expressed as fuzzy sets with appropriate membership values and then are combined using weighting factors and fuzzy composition. In this step-by-step way, inputs are obtained for each successive level until the answer to the highest level or originally posed problem is obtained. Two case studies are used to verify the applicability of the designed system. The results obtained by the proposed system showed consistent conclusions with the opinion of experts. The developed system is expected to be used as an effective tool to determine the structural state of reinforced concrete buildings in Gaza strip.
|Publisher||the islamic university|
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