CTOD measurement for cracks in concrete by fiber optic sensors

Li, Qingbin; Li, Guang; Guanglun, Wang; Yuan, Libo

doi:10.1016/j.optlaseng.2004.03.002

Cited by 20 publications

(14 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although Leung et al [14] have developed a model for the power loss versus crack opening relation, it is too complicated to put into practice for sensor applications because the model involves a mechanical analysis (a finite method analysis) and an optical analysis, which are very complex. Also, it seems that the model based on eqs.…”

Section: Crack Sensing Principlementioning

confidence: 99%

“…The sensor can detect crack initiation but can neither differentiate between one widely opened crack and many small cracks along the gauge length nor measure crack openings. The fiber optic crack sensor developed by Li et al [14] is based on Michelson white light interferometry. Crack openings can be evaluated by subtracting the elastic deformation of concrete outside strain localization band within the gauge length of the fiber from the total displacement measured by the sensor.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A fiber optic sensor for detecting and monitoring cracks in concrete structures

Bao

Wang

Yao

2010

Sci. China Technol. Sci.

View full text Add to dashboard Cite

The formation and propagation of cracks reflect the aging and pathologic changes of concrete structures and may cause problems such as seepage and long-term durability. Crack detection and monitoring is therefore an effective way to evaluate structural health conditions. An important challenge in such a task is that the locations and orientations of cracks in concrete structures are difficult to predict due to material inhomogeneity and complexity. The number of the required conventional electric and electromagnetic sensors to cover all possible cracks may be too large to be practical for a monitoring scheme. In this paper, a fiber optic sensor with distributed crack sensing capability based on optical time domain reflectometry is proposed and its sensing principle is introduced. Experiments are conducted to obtain the optical power loss versus crack opening at different fiber inclination angles, and then a model is developed to quantify it. Finally, an experiment is performed to demonstrate the practical application of the sensor. The test results show that detecting and monitoring cracks with the sensor do not require a-priori knowledge of crack locations and orientations. fiber optic sensor, crack, concrete Citation:Bao T F, Wang J L, Yao Y. A fiber optic sensor for detecting and monitoring cracks in concrete structures.

show abstract

Section: Crack Sensing Principlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A fiber optic sensor for detecting and monitoring cracks in concrete structures

Bao

Wang

Yao

2010

Sci. China Technol. Sci.

View full text Add to dashboard Cite

show abstract

“…The fiber surface coating serves as the coupling layer; it also plays an important role in the strain transfer. The strain transfer coefficient has been derived earlier (Ansari and Yuan 1998;Li et al 2004) which is listed below for various conditions:…”

Section: Stress and Strain On The Optical Fibermentioning

confidence: 99%

A multi-parameter sensor system using concentric core optical fiber

Watekar

Han

2008

Opt Quant Electron

View full text Add to dashboard Cite

show abstract

“…Ansari et al [7] developed a ring fiber optic sensor to monitor cracks based on the finding that macro-bend optical loss in fibers increases due to the increase of crack width. Li et al [8] developed a fiber optic sensor based on Michelson white light interferometer to monitor the crack tip width displacement. Shi et al [9] measured the distribution of strain on the surface of concrete structures by Brillouin optical fiber both on transverse and vertical direction to monitor damage fields.…”

Section: Introductionmentioning

confidence: 99%