BREATHING CRACK IDENTIFICATION IN BEAM-TYPE STRUCTURES USING CAT SWARM OPTIMIZATION ALGORITHM

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HASSANNEJAD GHADIM REZA; TASOUJIAN SHAHIN; ALIPOUR MOHAMMAD REZA

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Journal: Modares Mechanical Engineering Year:2016 | Volume:15 | Issue:12 Page(s): 17-24

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Information Journal Paper

Title

BREATHING CRACK IDENTIFICATION IN BEAM-TYPE STRUCTURES USING CAT SWARM OPTIMIZATION ALGORITHM

Author(s)

HASSANNEJAD GHADIM REZA | TASOUJIAN SHAHIN | ALIPOUR MOHAMMAD REZA | Issue Writer Certificate

Keywords

CRACK DETECTIONQ2

BREATHING CRACKQ2

CSO ALGORITHMQ2

Abstract

Early CRACK DETECTION in structures prevents the occurrence of damage. Therefore, a challenge exists in the literature to provide efficient methods in the field of structural health monitoring. Many of the researches that have been done on the crack identification in structures are based on the models that ignore crack closure effects that make a significant error in the crack identification. Since it is more difficult to identify BREATHING CRACK than other damages, the purpose of this research is providing an efficient algorithm to identify BREATHING CRACK in beam type structures which are important elements in various types of structures. Because it's an important and significant issue to present a perfect model that is able to accurately explain behavior of damaged structure, in this paper a cracked beam has been modeled by ''breathing crack'' model which explains beam responses more accurately than other common models. In order to calculate natural frequencies of the beam accurately, in this research the fatigue crack model is used, which considers crack as breathing one with opening and closing behaviour. Then the problem of identifying crack parameters (location and depth of the crack) is defined as an optimization problem with the aim of minimizing the differences between natural frequencies calculated by the model and measured natural frequencies. In order to choose an appropriate algorithm to identify BREATHING CRACK, algorithms among various meta-heuristic algorithms are selected, which are able to identify the crack using only two natural frequencies. This ability is more valuable when it is desired not to damage structure during health monitoring procedure based on using frequency response of structure. Regarding the surveys conducted, the optimization problem is solved using cat swarm optimization (CSO) algorithm. Moreover, for validation the results obtained for different crack parameters have been compared with those of experimental tests. The results indicate that the proposed method has good accuracy.

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APA: Copy

HASSANNEJAD GHADIM, REZA, TASOUJIAN, SHAHIN, & ALIPOUR, MOHAMMAD REZA. (2016). BREATHING CRACK IDENTIFICATION IN BEAM-TYPE STRUCTURES USING CAT SWARM OPTIMIZATION ALGORITHM. MODARES MECHANICAL ENGINEERING, 15(12), 17-24. SID. https://sid.ir/paper/179917/en

Vancouver: Copy

HASSANNEJAD GHADIM REZA, TASOUJIAN SHAHIN, ALIPOUR MOHAMMAD REZA. BREATHING CRACK IDENTIFICATION IN BEAM-TYPE STRUCTURES USING CAT SWARM OPTIMIZATION ALGORITHM. MODARES MECHANICAL ENGINEERING[Internet]. 2016;15(12):17-24. Available from: https://sid.ir/paper/179917/en

IEEE: Copy

REZA HASSANNEJAD GHADIM, SHAHIN TASOUJIAN, and MOHAMMAD REZA ALIPOUR, “BREATHING CRACK IDENTIFICATION IN BEAM-TYPE STRUCTURES USING CAT SWARM OPTIMIZATION ALGORITHM,” MODARES MECHANICAL ENGINEERING, vol. 15, no. 12, pp. 17–24, 2016, [Online]. Available: https://sid.ir/paper/179917/en

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