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A Summary Review of Vibration-Based Damage Identification Methods

Doebling, S. W., Farrar, C. R., Prime, M. B.·1998·The Shock and Vibration Digest

Abstract

This paper provides an overview of methods to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration response. Research in vibration-based damage identification has been rapidly expanding over the last few years. The basic idea behind this technology is that modal parameters (notably frequencies, mode shapes, and modal damping) are functions of the physical properties of the structure (mass, damping, and stiffness). Therefore, changes in the physical properties will cause detectable changes in the modal properties. The motivation for the development of this technology is presented. The methods are categorized according to various criteria such as the level of damage detection provided, model-based vs. non-model-based methods and linear vs. nonlinear methods. The methods are also described in general terms including difficulties associated with their implementation and their fidelity. Past, current and future-planned applications of this technology to actual engineering systems are summarized. The paper concludes with a discussion of critical issues for future research in the area of vibration-based damage identification.

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Metadata

Authors
Doebling, S. W., Farrar, C. R., & Prime, M. B.
Venue
The Shock and Vibration Digest
Published
1998-03-01
Volume
30
Issue
2
Pages
91-105
ISSN
0583-1024 (ISSN-L)
OpenAlex
W2045831595
Cited by
2,823
References
1
FWCI
89.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Summary Review of Vibration-Based Damage Identification Methods. https://app.cochat.ai/papers/10.1177/058310249803000201
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Doebling, S. W., Farrar, C. R., & Prime, M. B. (1998). A Summary Review of Vibration-Based Damage Identification Methods. The Shock and Vibration Digest. https://doi.org/10.1177/058310249803000201

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.