Journal article
Vibration-based Damage Identification Methods: A Review and Comparative Study
Structural health monitoring, Vol.10(1), pp.83-111
01/2011
Handle:
https://hdl.handle.net/2376/113567
Abstract
A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented, and the damage identification algorithms in terms of signal processing are particularly emphasized. Based on the vibration features, the damage identification methods are classified into four major categories: natural frequency-based methods, mode shape-based methods, curvature mode shape-based methods, and methods using both mode shapes and frequencies, and their merits and drawbacks are discussed. It is observed that most mode shape-based and curvature mode shape-based methods only focus on damage localization. In order to precisely locate the damage, the mode shape-based methods have to rely on optimization algorithms or signal processing techniques; while the curvature mode shape-based methods are in general a very effective type of damage localization algorithms. As an implementation, a comparative study of five extensively-used damage detection algorithms for beam-type structures is conducted to evaluate and demonstrate the validity and effectiveness of the signal processing algorithms. This brief review aims to help the readers in identifying starting points for research in vibration-based damage identification and structural health monitoring and guides researchers and practitioners in better implementing available damage identification algorithms and signal processing methods for beam- or plate-type structures.
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Details
- Title
- Vibration-based Damage Identification Methods: A Review and Comparative Study
- Creators
- Wei Fan - Washington State UniversityPizhong Pizhong Qiao - Department of Civil and Environmental Engineering and Composite Materials and Engineering Center, Washington State University, Pullman, WA, 99164-2910, USA
- Publication Details
- Structural health monitoring, Vol.10(1), pp.83-111
- Academic Unit
- Department of Civil and Environmental Engineering
- Identifiers
- 99900547889601842
- Language
- English
- Resource Type
- Journal article