The DOI matches its Crossref record.
Application of Wavelet Theory for Crack Identification in Structures
Abstract
This paper presents the first attempt of an application of the wavelet theory for the crack identification of structures. As a case study, we consider the crack identification using the wavelet theory for a simply supported beam with a transverse on-edge nonpropagating open crack. A mathematical model of the cracked beam is derived and the wavelet expressions in the space domain are proposed for solution. For comparison purposes, the simply supported cracked beam is solved using both the eigentheory and the wavelet method of analysis. The results show that crack identification via wavelet analysis is accomplished easily whereas it can hardly be detected by the traditional eigenvalue analysis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Damage identification in beam-type structures: frequency-based method vs mode-shape-based method
Kim, J.-T., Ryu, Y.-S., Cho, H.-M., & Stubbs, N. (2003) · Engineering Structures · doi:10.1016/s0141-0296(02)00118-9 · Cited by 667
Damage detection of structures by wavelet analysis
Kim, H., & Melhem, H. (2004) · Engineering Structures · doi:10.1016/j.engstruct.2003.10.008 · Cited by 373
Damage detection with spatial wavelets
Wang, Q., & Deng, X. (1999) · International Journal of Solids and Structures · doi:10.1016/s0020-7683(98)00152-8 · Cited by 306
Self-citationStructural Health Monitoring in Composite Structures: A Comprehensive Review
Hassani, S., Mousavi, M., & Gandomi, A. H. (2021) · Sensors · doi:10.3390/s22010153 · Cited by 258
Metadata
- Authors
- Liew, K. M., & Wang, Q.
- Venue
- Journal of Engineering Mechanics
- Published
- 1998-02
- Volume
- 124
- Issue
- 2
- Pages
- 152-157
- ISSN
- 0733-9399 (ISSN-L)
- 1943-7889
- DOI
- 10.1061/(asce)0733-9399(1998)124:2(152
- OpenAlex
- W2158475299
- Cited by
- 207
- References
- 0
- FWCI
- 14.59
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Application of Wavelet Theory for Crack Identification in Structures. https://app.cochat.ai/papers/10.1061/(asce)0733-9399(1998)124:2(152
- The paper
- Liew, K. M., & Wang, Q. (1998). Application of Wavelet Theory for Crack Identification in Structures. Journal of Engineering Mechanics. https://doi.org/10.1061/(asce)0733-9399(1998)124%3A2(152
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
