Structural self-diagnosis for damage in carbon-fiber reinforced composites

Yves Ngabonziza; Hale Ergun; Regina Kuznetsova; Jackie Li; Benjamin Liaw; Feridun Delale

doi:10.1115/SMASIS2008-365

Structural self-diagnosis for damage in carbon-fiber reinforced composites

Yves Ngabonziza^*, Hale Ergun, Regina Kuznetsova, Jackie Li, Benjamin Liaw, Feridun Delale

^*Corresponding author for this work

Department of Civil Engineering

City University of New York

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Composite structural self-diagnostic (CSSD) technology has been tested to detect the mechanical damages in carbon-fiber reinforced polymer-matrix composites. In order to characterize the self-sensing technique for damage detection, discrete electrodes were mounted on Double-Cantilever-Beam (DCB). Results on mechanical properties with corresponding electrical resistance changes of the CFRC specimens are presented in this paper. The lay-up configuration of the composite specimens is [0₆/Teflon/0 ₆]_T. In addition, acoustic emission was also used to corroborate the CSSD results.

Original language	English
Title of host publication	Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Pages	27-31
Number of pages	5
DOIs	https://doi.org/10.1115/SMASIS2008-365
Publication status	Published - 2008
Event	ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 - Ellicott City, MD, United States Duration: 28 Oct 2008 → 30 Oct 2008

Publication series

Name	Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Volume	2

Conference

Conference	ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Country/Territory	United States
City	Ellicott City, MD
Period	28/10/08 → 30/10/08

Access to Document

10.1115/SMASIS2008-365

Cite this

Ngabonziza, Y., Ergun, H., Kuznetsova, R., Li, J., Liaw, B., & Delale, F. (2008). Structural self-diagnosis for damage in carbon-fiber reinforced composites. In Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 (pp. 27-31). (Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008; Vol. 2). https://doi.org/10.1115/SMASIS2008-365

Ngabonziza, Yves ; Ergun, Hale ; Kuznetsova, Regina et al. / Structural self-diagnosis for damage in carbon-fiber reinforced composites. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008. 2008. pp. 27-31 (Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008).

@inproceedings{77ead97408144557ba065b490aa3fd8f,

title = "Structural self-diagnosis for damage in carbon-fiber reinforced composites",

abstract = "Composite structural self-diagnostic (CSSD) technology has been tested to detect the mechanical damages in carbon-fiber reinforced polymer-matrix composites. In order to characterize the self-sensing technique for damage detection, discrete electrodes were mounted on Double-Cantilever-Beam (DCB). Results on mechanical properties with corresponding electrical resistance changes of the CFRC specimens are presented in this paper. The lay-up configuration of the composite specimens is [06/Teflon/0 6]T. In addition, acoustic emission was also used to corroborate the CSSD results.",

author = "Yves Ngabonziza and Hale Ergun and Regina Kuznetsova and Jackie Li and Benjamin Liaw and Feridun Delale",

year = "2008",

doi = "10.1115/SMASIS2008-365",

language = "English",

isbn = "9780791843314",

series = "Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008",

pages = "27--31",

booktitle = "Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008",

note = "ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 ; Conference date: 28-10-2008 Through 30-10-2008",

}

Ngabonziza, Y, Ergun, H, Kuznetsova, R, Li, J, Liaw, B & Delale, F 2008, Structural self-diagnosis for damage in carbon-fiber reinforced composites. in Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008, vol. 2, pp. 27-31, ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008, Ellicott City, MD, United States, 28/10/08. https://doi.org/10.1115/SMASIS2008-365

Structural self-diagnosis for damage in carbon-fiber reinforced composites. / Ngabonziza, Yves; Ergun, Hale; Kuznetsova, Regina et al.
Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008. 2008. p. 27-31 (Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Structural self-diagnosis for damage in carbon-fiber reinforced composites

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AU - Ergun, Hale

AU - Kuznetsova, Regina

AU - Li, Jackie

AU - Liaw, Benjamin

AU - Delale, Feridun

PY - 2008

Y1 - 2008

N2 - Composite structural self-diagnostic (CSSD) technology has been tested to detect the mechanical damages in carbon-fiber reinforced polymer-matrix composites. In order to characterize the self-sensing technique for damage detection, discrete electrodes were mounted on Double-Cantilever-Beam (DCB). Results on mechanical properties with corresponding electrical resistance changes of the CFRC specimens are presented in this paper. The lay-up configuration of the composite specimens is [06/Teflon/0 6]T. In addition, acoustic emission was also used to corroborate the CSSD results.

AB - Composite structural self-diagnostic (CSSD) technology has been tested to detect the mechanical damages in carbon-fiber reinforced polymer-matrix composites. In order to characterize the self-sensing technique for damage detection, discrete electrodes were mounted on Double-Cantilever-Beam (DCB). Results on mechanical properties with corresponding electrical resistance changes of the CFRC specimens are presented in this paper. The lay-up configuration of the composite specimens is [06/Teflon/0 6]T. In addition, acoustic emission was also used to corroborate the CSSD results.

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Ngabonziza Y, Ergun H, Kuznetsova R, Li J, Liaw B, Delale F. Structural self-diagnosis for damage in carbon-fiber reinforced composites. In Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008. 2008. p. 27-31. (Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008). doi: 10.1115/SMASIS2008-365

Structural self-diagnosis for damage in carbon-fiber reinforced composites

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