The DOI matches its Crossref record.
Structural health monitoring of innovative bridges in Canada with fiber optic sensors
Open accessAbstract
This paper describes the development and application of fiber optic sensors for monitoring bridge structures. Fiber Bragg gratings (FBGs) have been used to measure static and dynamic loads on bridge decks and columns, including composite repairs for rehabilitation purposes. A new long gage concept that permits overall average strains to be measured has also been developed with gage lengths varying from 1-20 m. These gages can be bonded to the concrete structure or imbedded in the composite repair patch. Six projects undertaken by ISIS Canada to incorporate fiber optic sensing to monitor the structural health of bridges in Canada are described. Data will be presented for several bridges that indicate a measure of system reliability over several years in a hostile environment. The benefits of fiber optic sensors will be highlighted.
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
A New Frontier of Printed Electronics: Flexible Hybrid Electronics
Khan, Y., Thielens, A., Muin, S., Ting, J., Baumbauer, C., & Arias, A. C. (2020) · Advanced Materials · doi:10.1002/adma.201905279 · Cited by 891
Hassani, S., & Dackermann, U. (2023) · Sensors · doi:10.3390/s23042204 · Cited by 492
A review of optical NDT technologies
Zhu, Y.-K., Tian, G.-Y., Lu, R.-S., & Zhang, H. (2011) · Sensors · doi:10.3390/s110807773 · Cited by 228
Chen, Z., Zhou, X., Wang, X., Dong, L., & Qian, Y. (2017) · Sensors · doi:10.3390/s17092151 · Cited by 128
Metadata
- Authors
- Tennyson, R. C., Mufti, A. A., Rizkalla, S., Tadros, G., & Benmokrane, B.
- Venue
- Smart Materials and Structures
- Publisher
- IOP Publishing
- Published
- 2001-06-01
- Volume
- 10
- Issue
- 3
- Pages
- 560-573
- ISSN
- 0964-1726 (ISSN-L)
- 1361-665X
- OpenAlex
- W2051509194
- Cited by
- 232
- References
- 0
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Structural health monitoring of innovative bridges in Canada with fiber optic sensors. https://app.cochat.ai/papers/10.1088/0964-1726/10/3/320
- The paper
- Tennyson, R. C., Mufti, A. A., Rizkalla, S., Tadros, G., & Benmokrane, B. (2001). Structural health monitoring of innovative bridges in Canada with fiber optic sensors. Smart Materials and Structures. https://doi.org/10.1088/0964-1726/10/3/320
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.