A statistical index based damage identification method of a bridge using dynamic displacement under moving vehicle. (September 2022)
- Record Type:
- Journal Article
- Title:
- A statistical index based damage identification method of a bridge using dynamic displacement under moving vehicle. (September 2022)
- Main Title:
- A statistical index based damage identification method of a bridge using dynamic displacement under moving vehicle
- Authors:
- Rana, Shohel
Adhikary, Shuvrodeb
Tasnim, Jerin - Abstract:
- Abstract: Potential damage identification is essential to avoid the sudden and premature failure of aging bridges, which have attracted ample attention over the decades. This paper proposes an output only data driven technique for damage identification which will not require any physical model of the structure nor any known input excitation. Statistical moments have been considered as the key feature for the proposed method of damage identification which has been derived from the measured vehicle-induced dynamic displacement responses of a pre-stressed concrete I-girder bridge. The displacement responses data of a bridge is influenced by many factors, including Vehicle-Bridge Interaction (VBI), vehicle speed and road roughness. The interaction between vehicles and bridges includes dynamic models for bridge structure subsystem and vehicle subsystem, interaction constraints and road roughness modelling. Firstly, the coupled formulation is derived based on the interaction constraints. Then, Newmark's β method is utilized for solving the coupled VBI problem to extract the vehicle-induced displacement responses. Later, the statistical moment is calculated from the Power Spectral Density (PSD) of the displacement response retrieved from sensors positioned on the span of the bridge for both damaged and undamaged conditions. A damage index named Curvature of Statistical Moment Difference (CSMD) is calculated to identify the damages. Artificial damage is incorporated through theAbstract: Potential damage identification is essential to avoid the sudden and premature failure of aging bridges, which have attracted ample attention over the decades. This paper proposes an output only data driven technique for damage identification which will not require any physical model of the structure nor any known input excitation. Statistical moments have been considered as the key feature for the proposed method of damage identification which has been derived from the measured vehicle-induced dynamic displacement responses of a pre-stressed concrete I-girder bridge. The displacement responses data of a bridge is influenced by many factors, including Vehicle-Bridge Interaction (VBI), vehicle speed and road roughness. The interaction between vehicles and bridges includes dynamic models for bridge structure subsystem and vehicle subsystem, interaction constraints and road roughness modelling. Firstly, the coupled formulation is derived based on the interaction constraints. Then, Newmark's β method is utilized for solving the coupled VBI problem to extract the vehicle-induced displacement responses. Later, the statistical moment is calculated from the Power Spectral Density (PSD) of the displacement response retrieved from sensors positioned on the span of the bridge for both damaged and undamaged conditions. A damage index named Curvature of Statistical Moment Difference (CSMD) is calculated to identify the damages. Artificial damage is incorporated through the reduction of structural stiffness of the bridge element. The results of the study demonstrate the method's capability to identify and locate damage at any position of the bridge span and assess the relative severity of the damage. The effect of varying pavement roughness conditions is also considered in this study. … (more)
- Is Part Of:
- Structures. Volume 43(2022)
- Journal:
- Structures
- Issue:
- Volume 43(2022)
- Issue Display:
- Volume 43, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 43
- Issue:
- 2022
- Issue Sort Value:
- 2022-0043-2022-0000
- Page Start:
- 79
- Page End:
- 92
- Publication Date:
- 2022-09
- Subjects:
- Damage Identification -- Bridge -- Statistical moments -- Vehicle-bridge interaction -- Vehicle induced dynamic displacements -- Half Car Model -- Newmark's-β Method -- Power Spectral Density
Structural engineering -- Periodicals
624.1 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23520124 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.istruc.2022.06.018 ↗
- Languages:
- English
- ISSNs:
- 2352-0124
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23714.xml