The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Load Vectors for Damage Localization
Abstract
A technique to localize damage in structures that can be treated as linear in the pre- and postdamage states is presented. Central to the approach is the computation of a set of vectors, designated as damage locating vectors (DLVs) that have the property of inducing stress fields whose magnitude is zero in the damaged elements (small in the presence of truncations and approximations). The DLVs are associated with sensor coordinates and are computed systematically as the null space of the change in measured flexibility. The localization approach based on the use of DLVs is not structure type dependent and can be applied to single or multiple element damage scenarios. Knowledge about the system is restricted to that needed for a static analysis in the undamaged state, namely, the undamaged topology and, if the structure is indeterminate, the relative stiffness characteristics. Numerical simulations carried out with realistic levels of noise and modeling error illustrate the robustness of the technique.
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Cites
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Cited by
Vibration Based Condition Monitoring: A Review
Carden, E. P., & Fanning, P. (2004) · Structural Health Monitoring · doi:10.1177/1475921704047500 · Cited by 1,543
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Yuen, K.-V., Beck, J. L., & Katafygiotis, L. S. (2006) · Structural Control and Health Monitoring · doi:10.1002/stc.144 · Cited by 208
Ambient interference in long-term monitoring of buildings
Yuen, K.-V., & Kuok, S.-C. (2010) · Engineering Structures · doi:10.1016/j.engstruct.2010.04.012 · Cited by 157
Huang, Y., Beck, J. L., & Li, H. (2017) · Structural Safety · doi:10.1016/j.strusafe.2016.09.001 · Cited by 111
Metadata
- Authors
- Bernal, D.
- Venue
- Journal of Engineering Mechanics
- Published
- 2002-01
- Volume
- 128
- Issue
- 1
- Pages
- 7-14
- ISSN
- 0733-9399 (ISSN-L)
- 1943-7889
- DOI
- 10.1061/(asce)0733-9399(2002)128:1(7
- OpenAlex
- W1975640173
- Cited by
- 306
- References
- 14
- FWCI
- 48.54
- Type
- journal article
- Language
- en
- Open access
- closed
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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.