Long-Term BOTDA Baseline Assessment of a Fiber Optic Sensing Textile on a Composite Bridge Girder

This paper presents a six-year assessment of the baseline comparability of a Brillouin optical time-domain analysis (BOTDA)-based sensing textile installed in a composite bridge girder under unloaded field conditions. Six monitoring campaigns collected from 2020 to 2025 were analyzed using campaign-temperature-corrected strain profiles. The known physical segmentation of the sensing path was used to evaluate cross-campaign behavior through segment-wise mean deviation, root-mean-square deviation (RMSD), percentile-based deviation, and position-wise drift-rate metrics. The results show clear segment-dependent variability, with larger deviations occurring mainly in the non-structural lead and return segments than in the bonded structural sensing sections. In the 2025 campaign, the combined bonded structural segments exhibited an RMSD of 292 µε and a 95th-percentile absolute deviation of 508 µε. Their mean drift rate was approximately −11 µε/year, with a 95th-percentile absolute drift rate of approximately 101 µε/year. These results indicate better long-term baseline repeatability within the bonded sensing path than in the non-structural portions of the measurement chain. However, because temperature correction was based on campaign-average surface measurements rather than a distributed temperature profile, residual thermal effects cannot be fully separated from the observed long-term variation.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2026-09-30
DOI
https://doi.org/10.3390/s26196198
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Long-Term BOTDA Baseline Assessment of a Fiber Optic Sensing Textile on a Composite Bridge Girder

Lidan Cao, Ruiquan Wu, T. Yu, Maryam Abazarsa et al.
Sensors
Advanced Fiber Optic Sensors
article

Long-Term BOTDA Baseline Assessment of a Fiber Optic Sensing Textile on a Composite Bridge Girder

Lidan Cao, Ruiquan Wu, T. Yu, Maryam Abazarsa, Xingwei Wang, Guoqiang Cui, Sabrina Abedin
article en

Abstract

This paper presents a six-year assessment of the baseline comparability of a Brillouin optical time-domain analysis (BOTDA)-based sensing textile installed in a composite bridge girder under unloaded field conditions. Six monitoring campaigns collected from 2020 to 2025 were analyzed using campaign-temperature-corrected strain profiles. The known physical segmentation of the sensing path was used to evaluate cross-campaign behavior through segment-wise mean deviation, root-mean-square deviation (RMSD), percentile-based deviation, and position-wise drift-rate metrics. The results show clear segment-dependent variability, with larger deviations occurring mainly in the non-structural lead and return segments than in the bonded structural sensing sections. In the 2025 campaign, the combined bonded structural segments exhibited an RMSD of 292 µε and a 95th-percentile absolute deviation of 508 µε. Their mean drift rate was approximately −11 µε/year, with a 95th-percentile absolute drift rate of approximately 101 µε/year. These results indicate better long-term baseline repeatability within the bonded sensing path than in the non-structural portions of the measurement chain. However, because temperature correction was based on campaign-average surface measurements rather than a distributed temperature profile, residual thermal effects cannot be fully separated from the observed long-term variation.

SensorsVol. 26(19)
University of Massachusetts Lowell (US)
Openalex Percentile: Top 22%
Advanced Fiber Optic Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Long-Term BOTDA Baseline Assessment of a Fiber Optic Sensing Textile on a Composite Bridge Girder — Lidan Cao, Ruiquan Wu, et al. · Sensors (2026) | TGRS Research Map | TGRS