The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sensing of Damage Mechanisms in Fiber‐Reinforced Composites under Cyclic Loading using Carbon Nanotubes
Abstract
The expanded use of advanced fiber‐reinforced composites in structural applications has brought attention to the need to monitor the health of these structures. It has been established that adding carbon nanotubes to fiber‐reinforced composites is a promising way to detect the formation of microscale damage. Because carbon nanotubes are three orders of magnitude smaller than traditional advanced fibers, it is possible for nanotubes to form an electrically conductive network in the polymer matrix surrounding the fibers. In this work, multi‐walled carbon nanotubes are dispersed into epoxy and infused into a glass‐fiber preform to form a network of in situ sensors. The resistance of the cross‐ply composite is measured in real‐time during incremental cyclic tensile loading tests to evaluate the damage evolution and failure mechanisms in the composite. Edge replication is conducted to evaluate the crack density after each cycle, and optical microscopy is utilized to study the crack mode and growth. The evolution of damage can be clearly identified through the damaged resistance parameter. Through analyzing the damaged resistance response curves with measurements of transverse crack density and strain, the transition between different failure modes can be identified. It is demonstrated that the integration of an electrically conducting network of carbon nanotubes in a glass fiber composite adds unique damage‐sensing functionality that can be utilized to track the nature and extent of microstructural damage in fiber composites.
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
Cites
High-field electrical transport in single-wall carbon nanotubes
Yao, Z., Kane, C. L., & Dekker, C. (2000) · Physical Review Letters · doi:10.1103/physrevlett.84.2941 · Cited by 1,501
Cited by
An assessment of the science and technology of carbon nanotube-based fibers and composites
Chou, T.-W., Gao, L., Thostenson, E. T., Zhang, Z., & Byun, J.-H. (2010) · Composites Science and Technology · doi:10.1016/j.compscitech.2009.10.004 · Cited by 566
Self-citationRecent Advances in Sensing Applications of Graphene Assemblies and Their Composites
Tung, T. T., Nine, M. J., Krebsz, M., Pasinszki, T., Coghlan, C. J., Tran, D. N. H., & Losic, D. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201702891 · Cited by 294
Lin, L., Liu, S., Zhang, Q., Li, X., Ji, M., Deng, H., & Fu, Q. (2013) · ACS Applied Materials & Interfaces · doi:10.1021/am401402x · Cited by 270
Zhang, H., Liu, Y., Kuwata, M., Bilotti, E., & Peijs, T. (2015) · Composites Part A: Applied Science and Manufacturing · doi:10.1016/j.compositesa.2014.11.029 · Cited by 266
Hassan, H., & Tallman, T. N. (2020) · Structural Health Monitoring · doi:10.1177/1475921719863062 · Cited by 55
Metadata
- Authors
- Gao, L., Thostenson, E. T., Zhang, Z., & Chou, T.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2008-12-29
- Volume
- 19
- Issue
- 1
- Pages
- 123-130
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W1993655880
- Cited by
- 249
- References
- 1
- FWCI
- 6.06
- 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: Sensing of Damage Mechanisms in Fiber‐Reinforced Composites under Cyclic Loading using Carbon Nanotubes. https://app.cochat.ai/papers/10.1002/adfm.200800865
- The paper
- Gao, L., Thostenson, E. T., Zhang, Z., & Chou, T. (2009). Sensing of Damage Mechanisms in Fiber‐Reinforced Composites under Cyclic Loading using Carbon Nanotubes. Advanced Functional Materials. https://doi.org/10.1002/adfm.200800865
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.