Damage Detection in Truss Structures Using Grasshopper Optimization Algorithm

International Journal of Mathematical Modelling & Computations

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 05 آبان 1402

نوع مقاله: Full Length Article

شناسه دیجیتال (DOI): 10.30495/ijm2c.2023.1991903.1278

نویسندگان

Pouria Foroutanrad^{* 1}؛ Behnam Adhami²

¹Department of Civil Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

²Assistant Professor, Civil Engineering Department, Faculty of Civil & Earth Resources Engineering, Islamic Azad University Central Tehran Branch, Tehran, Iran

چکیده

Structural engineers' goal has constantly been identifying, restoring, repairing, or replacing damaged members. As a result, one of the most crucial and necessary steps in the upkeep and restoration of structures is identifying damaged members. Damage detection techniques from structural dynamic response measurements can often be used to detect and locate damage. This paper proposes a structural damage identification method based on changing natural frequency, finite element modeling, and the Grasshopper Optimization Algorithm (GOA). This algorithm mathematically models and mimics the behavior of grasshopper swarms in nature for solving optimization problems. As numerical examples, the 13-bar and a 31-bar planar truss are considered to examine the suggested methodology's precision. According to the findings, the recommended method is workable for systems with few members and minor damage. However, the accuracy of the diagnosed damage in structures with medium-sized members and considerable damages was poor, making it more likely to converge to local optimum points conditions.

کلیدواژه‌ها

Damage Detection؛ Optimization Algorithms؛ Truss Structure؛ Objective Function؛ Structural Dynamic Response؛ Natural Frequency