Presenting a novel sensitivity-damage feature for damage detection using time-series analysis, output-only ambient vibration data

International Journal of Mathematical Modelling & Computations

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 04 آبان 1402

نوع مقاله: Full Length Article

شناسه دیجیتال (DOI): 10.30495/ijm2c.2023.1991902.1279

نویسندگان

Seyed Arman Hashemi¹؛ Behnam Adhami^{* 2}؛ Ali Golsoorat Pahlaviani³

¹Ph.D. Candidate, Civil Engineering Department, Faculty of Civil & Earth Resources Engineering, Islamic Azad University Central Tehran Branch, Tehran

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

³Assistant Professor, Civil Engineering Department, Faculty of Civil & Earth Resources Engineering, Islamic Azad University Central Tehran Branch, Tehran, Iran.

چکیده

This paper presents a damage identification method for a benchmark structure model using time series analysis of output-only ambient vibration data. To demonstrate the capability of the proposed method, a 3D finite element model based on a benchmark laboratory model is simulated, and a novel damage-sensitivity feature based on autoregressive time series models with exogenous input (ARX) using the output acceleration responses from the sensors. , is presented under the influence of ambient loads in modeling. In the finite element model, minor local damages near the supports that may occur to a bridge during operation are created to demonstrate the robustness and stability of the proposed damage feature. The results showed that the presented damage feature could effectively identify and locate the minor damages made near the supports (which is presented as a challenge in identification studies) accurately and without errors and provide an indication of the extent of the damage.

کلیدواژه‌ها

damage identification؛ benchmark structure؛ damage-sensitivity feature؛ ambient loads