The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Damage detection in composite materials using frequency response methods
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Citations
Cites
Los Alamos National Lab., N. (. S., Doebling, S., USDOE, W., Farrar, C., Prime, M., & Shevitz, D. (1996) · doi:10.2172/249299 · Cited by 2,899 · cited 1×
“Several techniques have been researched for detecting damage in composite materials, many of them focusing on modal response [5-21].”
BackgroundMechanics of composite materials
(1999) · Choice Reviews Online · doi:10.5860/choice.36-5715 · Cited by 2,344
Elements of vibration analysis
Meirovitch, L. (1975) · Andalas University Repository (Andalas University) · Cited by 1,768
The location of defects in structures from measurements of natural frequencies
Cawley, P., & Adams, R. D. (1979) · The Journal of Strain Analysis for Engineering Design · doi:10.1243/03093247v142049 · Cited by 1,439
ZOU, Y., TONG, L., & STEVEN, G. P. (2000) · Journal of Sound and Vibration · doi:10.1006/jsvi.1999.2624 · Cited by 766
DAMAGE DETECTION USING THE FREQUENCY-RESPONSE-FUNCTION CURVATURE METHOD
SAMPAIO, R. P. C., MAIA, N. M. M., & SILVA, J. M. M. (1999) · Journal of Sound and Vibration · doi:10.1006/jsvi.1999.2340 · Cited by 402
Large Eigenvalue Problems in Dynamic Analysis
Bathe, K.-J., & Wilson, E. L. (1972) · Journal of the Engineering Mechanics Division · doi:10.1061/jmcea3.0001693 · Cited by 174
STRUCTURAL HEALTH MONITORING USING TRANSMITTANCE FUNCTIONS
ZHANG, H., Schulz, M. J., Naser, A. S., Ferguson, F., & Pai, P. F. (1999) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.1999.1228 · Cited by 138
EFFECTS OF TESTING, ANALYSIS, DAMAGE, AND ENVIRONMENT ON MODAL PARAMETERS
ALAMPALLI, S. (2000) · Mechanical Systems and Signal Processing · doi:10.1006/mssp.1999.1271 · Cited by 127
DELAMINATION DETECTION IN COMPOSITE LAMINATES FROM VARIATIONS OF THEIR MODAL CHARACTERISTICS
Valdés, S. H. D., & Soutis, C. (1999) · Journal of Sound and Vibration · doi:10.1006/jsvi.1999.2403 · Cited by 115
Self-citation
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
Malekloo, A., Ozer, E., AlHamaydeh, M., & Girolami, M. (2022) · Structural Health Monitoring · doi:10.1177/14759217211036880 · Cited by 607
An international review of laser Doppler vibrometry: Making light work of vibration measurement
Rothberg, S. J., Allen, M. S., Castellini, P., Di Maio, D., Dirckx, J. J. J., Ewins, D. J., Halkon, B. J., Muyshondt, P., Paone, N., Ryan, T., et al. (2017) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2016.10.023 · Cited by 516
“The location of defects has been considered extensively [50-55] by analysing wave propagation, modal response or operational deflection shapes (ODS).”
BackgroundMartinez-Luengo, M., Kolios, A., & Wang, L. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.05.085 · Cited by 310
Metadata
- Authors
- Kessler, S. S., Spearing, S. M., Atalla, M. J., Cesnik, C. E. S., & Soutis, C.
- Venue
- Composites Part B: Engineering
- Publisher
- Elsevier BV
- Published
- 2002-01
- Volume
- 33
- Issue
- 1
- Pages
- 87-95
- ISSN
- 1359-8368 (ISSN-L)
- OpenAlex
- W1973638658
- Cited by
- 301
- References
- 11
- FWCI
- 44.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Damage detection in composite materials using frequency response methods. https://app.cochat.ai/papers/10.1016/s1359-8368(01)00050-6
- The paper
- Kessler, S. S., Spearing, S. M., Atalla, M. J., Cesnik, C. E. S., & Soutis, C. (2002). Damage detection in composite materials using frequency response methods. Composites Part B: Engineering. https://doi.org/10.1016/s1359-8368(01)00050-6
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.
