原文传递
Dynamic Imaging: Real-Time Detection of Local Structural Damage with Blind Separation of Low-Rank Background and Sparse Innovation
| 题名： | Dynamic Imaging: Real-Time Detection of Local Structural Damage with Blind Separation of Low-Rank Background and Sparse Innovation |
| 正文语种： | 英文 |
| 作者： | Yongchao Yang, A.M.ASCE; and Satish Nagarajaiah |
| 作者单位： | Rice Univ., Houston |
| 关键词： | Damage detection; Data-driven structural health monitoring; Automated video surveillance; Dynamic imaging Non destructive assessment; Robust principal component analysis; Structural health monitoring. |
| 摘要： | Real-time close-up imaging (filming or video surveillance) of structures is used to automate detection of local component-leve damage by exploiting the spatiotemporal data structure of the multiple temporal frames of structures. Specifically, the multiple frames andecomposed into a superposition of a low-rank background component and a sparse innovation (dynamic) comp on ent by a technique calle( principal component pursuit (PCP, or robust principal component analysis). The low-rank component represents the irrelevant, temporal? correlated background of the multiple frames, whereas the sparse innovation component indicates the salient, evolutionary damage-induce( information. The sparse innovation component is then quantitatively measured for continuous alert and indication of the damage evolution It is a data-driven and unsupervised (blind) approach that requires no parametric model or prior structural information for calibration. Ii addition, PCP has an overwhelming probability of success under broad conditions and can be implemented by an efficient convex opti mization program without tuning parameters. Laboratory experiments on concrete structures demonstrate that the proposed dynamic imaging method can efficiently and effectively track and indicate the evolution of small or severe damage by the recovered outstanding sparse in novation component (with the low-rank background subtracted from the original images). The proposed method has the potential to benefi real-time automated local damage surveillance and diagnosis of structures where experts, visual inspection is not needed or not possible DOI: 10.1061/(ASCE)ST. 1943-541 X.0001334. © 2015 American Society of Civil Engineers. |
| 出版日期： | 2016.02 |
| 出版年： | 2016 |
| 期刊名称： | Journal of Structural Engineering |
| 卷： | Vol.142 |
| 期： | NO.02 |
| 页码： | 04015144 |
相关文献
- Implementation of Rayleigh Damping for Local Nonlinear Dynamic Analysis Based on a Matrix Perturbation Approach
- Effect of Artificial Alert Sound, Background Noise, and VehicleType on Detectability and Localizability of Quiet Cars by Blind Pedestrians
- Periodic Assembly of Steel Truss Systems for Efficient Analyses and Early Detection of Localized Damage Using Impulse Response Method
- Wabco offers rear blind spot detection for trailers
- Enabling Network-Wide Tolling-Strategy Assessment via Customized Route-Choice Simulation Module
- Reference-Free Dynamic Distributed Monitoring of Damage in Multispan Bridges
检索历史
应用推荐
