Publication Type : Journal Article
Publisher : Engineering Faculty, The Hashemite University
Source : Jordan Journal of Mechanical and Industrial Engineering
Url : https://doi.org/10.59038/jjmie/170204
Campus : Chennai
School : School of Engineering
Department : Mechanical Engineering
Year : 2023
Abstract : Structural health monitoring has become an important research area from last two decades. This research area works on sensing and actuation and reasoning to find the exact location and amount of damage in a structure. The amount of damage must be quantified as to avoid serious catastrophic failure. For the above-mentioned purpose, the current method has been proposed. There are conventional and unconventional methods of damage detection. In the conventional methods, regular NDT methods are used. Among various Artificial Intelligent (AI) based methods, Fuzzy Logic System (FLS) is the one that can code and recode numerical inputs into semantic points, but the procedure of designing the fuzzy rule is troublesome and can turn out to be extremely confounded if the number of input and output parameters are increased. The combination of Fuzzy Logic with Genetic Algorithm (GA) provides an advanced hybrid intelligent algorithm called the automatic generation fuzzy rules, which generates the fuzzy rules automatically from the data. Here, a methodology is proposed for the automatic optimization of the fuzzy rules for the crack assessment in structure. At first, both FLS and GA approaches are implemented to present problem and obtain the results. In this analogy (hybrid-fuzzy), fuzzy rules are optimized with the fuzzy membership functions (MFs) and as rules of fuzzy comprises of fuzzy MFs also. Different GA operators like selection, crossover and mutation are implemented to optimize the fuzzy rules. A special type of objective function has been developed using absoluteness and factor of rules for the novel method and the results are obtained. A numerical model is formed for the entire analyses. The proposed method requires data collection. So, for this, the Finite Element Analysis (FEA) has been used. The data were collected from the FEA and Experimental analysis and then converted to normalized form. The data are normalized so, that the application in the given algorithm will be easier. The acquired results from the current analogy are validated with those of Finite Element Analysis (FEA) method. The same results are also compared with FLS and GA separately. From the results, it was obtained that the method convergence well and will be suitable for condition monitoring structures.
Cite this Research Publication : , Application of Hybrid Fuzzy Technique for Damage Estimation in Structural Member, Jordan Journal of Mechanical and Industrial Engineering, Engineering Faculty, The Hashemite University, 2023, https://doi.org/10.59038/jjmie/170204