Synthetic Damage Assessment for RC Structure Based on Fuzzy Logic

Authors:
Chung-Huei Tsai;Deh-Shiu Hsu
Affiliations:
-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

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Abstract

A fuzzy logic base synthetic damage assessment method which attempts to perform an objective and synthetic conclusion for various damage diagnostic results, subject to each test RC beam from the neural networks (NNs) is developed in this paper. Various damage diagnostic results are resulted from a feasible diagnostic model for the RC test beam through the ANN technique, based on four kinds structural response, i.e., acceleration time history (ATH), displacement time history (DTH), natural frequencies (NF), and static displacement (SD), are separately serve as the input characteristics of the NN in the diagnostic model. Fuzzy logic is then applied to reduce differences between situations and linguistically state the final diagnostic results. Therefore, this paper successfully fabricates a synthetic damage assessment method, which will be needed for real world damage assessment applications.