Presenting a Novel Sensitivity-Damage Feature for Damage Detection Using Time-Series Analysis, Output-Only Ambient Vibration Data
محورهای موضوعی : فصلنامه ریاضی
Seyed Arman Hashemi
1
,
Behnam Adhami
2
,
Ali Golsoorat Pahlaviani
3
1 - Ph.D. Candidate, Civil Engineering Department, Faculty of Civil & Earth Resources Engineering, Islamic Azad University Central Tehran Branch, Tehran
2 - Assistant Professor, Civil Engineering Department, Faculty of Civil & Earth Resources Engineering, Islamic Azad University Central Tehran Branch, Tehran, Iran
3 - Assistant Professor, Civil Engineering Department, Faculty of Civil & Earth Resources Engineering, Islamic Azad University Central Tehran Branch, Tehran, Iran.
کلید واژه: Damage identification, Benchmark structure, Damage-sensitivity feature, Ambient loads,
چکیده مقاله :
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.
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.
