Multi-Damage Detection for Steel Beam Structure
نویسندگان
1 Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Professor, Center of Excellent for Fundamental Studies in Structural Engineering, School of Civil Engineering Iran University of Science and Technology, Tehran, Iran
3 Assistant Professor, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran
4 Professor, Structural Department, International Institute of Earthquake Engineering and Seismology, Tehran, Iran
doi
10.22075/jrce.2017.1806.1157چکیده
Damage detection has been focused by researchers because of its importance in engineering practices. Therefore, different approaches have been presented to detect damage location in structures. However, the higher the accuracy of methods is required the more complex deliberations. Based on the conventional studies, it was observed that the damage locations and its size are associated with dynamic parameters of the structures. The main objective of this research is to present a sophisticated approach to detect the damage location using multi-objective genetic algorithm (MOGA) along with modified multi-objective genetic algorithm (MMOGA). In this approach natural frequencies are considered as the main dynamic parameters to detect the damage. The finite element method (FEM) is utilized to validate the accuracy of the results extracted from the natural frequencies analysis with consideration of the beams with different support conditions. Accordingly the results emphasize the high accuracy of the proposed method with the maximum error of 5%.
