Experimental Research on Online Monitoring of Crack Evolution Process of π-Type Beams Based on Ultra-Weak FBG Array Sensing Technology

Traditional crack monitoring methods, relying on discrete point sensors, cannot capture the full spatiotemporal evolution of cracks. To address this limitation, this paper presents a distributed online monitoring approach using ultra-weak Fiber Bragg Grating (UWFBG) array sensing technology. A 16 m full-scale π-beam was instrumented with a grating array strain sensing system and tested under progressive mid-span loading until failure. The array successfully detected crack initiation at 848.7 kN (0.9P1) and tracked the transformation from L-shaped to U-shaped cracks, yielding a final crack count of 90 with a maximum width of 1.21 mm and length of 246.5 cm at 1791.7 kN. The strain–load curves exhibited a clear linear-to-nonlinear transition and continuous slope increase, closely matching manual observations. Quantitative correlation analysis further established a strong linear relationship between UWFBG peak strains and manually measured crack widths, with the fitting equation ε = 7918 · w − 110 and a coefficient of determination R2 = 0.971, providing a specimen-specific basis for strain-based crack severity estimation that requires in-situ calibration before field application. The UWFBG array maintained stable signal acquisition throughout the entire loading process, offering superior data continuity and measurement range compared to resistive strain gauges, which suffered progressive data loss after cracking. The results demonstrate that the proposed method can provide real-time, full-field strain mapping and quantitative crack evolution monitoring, offering a powerful tool for bridge health assessment.

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Journal
Sensors
Published
2026-07-27
DOI
https://doi.org/10.3390/s26154779
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00

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article

Experimental Research on Online Monitoring of Crack Evolution Process of π-Type Beams Based on Ultra-Weak FBG Array Sensing Technology

Qiuming Nan, Lina Yue, Sheng Li, Qi Hu et al.
Sensors
Advanced Fiber Optic Sensors
article

Experimental Research on Online Monitoring of Crack Evolution Process of π-Type Beams Based on Ultra-Weak FBG Array Sensing Technology

Qiuming Nan, Lina Yue, Sheng Li, Qi Hu, Min Zhou, Juncheng Zeng, Yan Yang, Yichan Zhang
article en

Abstract

Traditional crack monitoring methods, relying on discrete point sensors, cannot capture the full spatiotemporal evolution of cracks. To address this limitation, this paper presents a distributed online monitoring approach using ultra-weak Fiber Bragg Grating (UWFBG) array sensing technology. A 16 m full-scale π-beam was instrumented with a grating array strain sensing system and tested under progressive mid-span loading until failure. The array successfully detected crack initiation at 848.7 kN (0.9P1) and tracked the transformation from L-shaped to U-shaped cracks, yielding a final crack count of 90 with a maximum width of 1.21 mm and length of 246.5 cm at 1791.7 kN. The strain–load curves exhibited a clear linear-to-nonlinear transition and continuous slope increase, closely matching manual observations. Quantitative correlation analysis further established a strong linear relationship between UWFBG peak strains and manually measured crack widths, with the fitting equation ε = 7918 · w − 110 and a coefficient of determination R2 = 0.971, providing a specimen-specific basis for strain-based crack severity estimation that requires in-situ calibration before field application. The UWFBG array maintained stable signal acquisition throughout the entire loading process, offering superior data continuity and measurement range compared to resistive strain gauges, which suffered progressive data loss after cracking. The results demonstrate that the proposed method can provide real-time, full-field strain mapping and quantitative crack evolution monitoring, offering a powerful tool for bridge health assessment.

SensorsVol. 26(15)
Wuhan University of Technology (CN), San’an Optoelectronics (China) (CN), Fujian University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
Advanced Fiber Optic Sensors
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