Vertical Displacement Measurement in a Slow-Moving Sinkhole Using BOTDA

Pascual Sevillano , Javier Preciado-Garbayo , Jorge Sevil , Francisco Gutiérrez , Juan J. Martínez , Sonia Martín-López , Miguel González-Herráez

Photonic Sensors ›› 2023, Vol. 14 ›› Issue (1) : 240122

PDF
Photonic Sensors ›› 2023, Vol. 14 ›› Issue (1) : 240122 DOI: 10.1007/s13320-023-0696-7
Regular

Vertical Displacement Measurement in a Slow-Moving Sinkhole Using BOTDA

Author information +
History +
PDF

Abstract

The effectiveness of monitoring and early-warning systems for ground deformation phenomena, such as sinkholes, depends on their ability to accurately resolve the ongoing ground displacement and detect the subtle deformation preceding catastrophic failures. Sagging sinkholes with a slow subsidence rate and diffuse edges pose a significant challenge for subsidence monitoring due to the low deformation rates and limited lateral strain gradients. In this work, we satisfactorily illustrate the practicality of the Brillouin optical time domain analysis (BOTDA) to measure the spatial-temporal patterns of the vertical displacement in such challenging slow-moving sagging sinkholes. To assess the performance of the approach, we compare the strain recorded by the distributed optical fiber sensor with the vertical displacement measured by high-precision leveling. The results show a good spatial correlation with the ability to identify the maximum subsidence point. There is also a good temporal correlation with the detection of an acceleration phase in the subsidence associated with a flood event.

Keywords

Distributed fiber optic sensing (DFOS) / vertical displacement measurement / slow subsidence rate / sinkhole hazard / early-warning system

Cite this article

Download citation ▾
Pascual Sevillano, Javier Preciado-Garbayo, Jorge Sevil, Francisco Gutiérrez, Juan J. Martínez, Sonia Martín-López, Miguel González-Herráez. Vertical Displacement Measurement in a Slow-Moving Sinkhole Using BOTDA. Photonic Sensors, 2023, 14(1): 240122 DOI:10.1007/s13320-023-0696-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Liu Y, Li H, Wang Y, Men Y, Xu Q. Damage detection of tunnel based on the high-density cross-sectional curvature obtained using strain data from BOTDA sensors. Mechanical Systems and Signal Processing, 2021, 158: 107728,

[2]

Pei H, Yin J, Wang Z. Monitoring and analysis of cast-in-place concrete bored piles adjacent to deep excavation by using BOTDA sensing technology. Journal of Modern Optics, 2019, 66(7): 703-709,

[3]

Xu J, Dong Y, Zhang Z, Li S, He S, Li H. Full scale strain monitoring of a suspension bridge using high performance distributed fiber optic sensors. Measurement Science and Technology, 2016, 27(12): 124017,

[4]

Zhang Z, Guan P, Xu J, Wang B, Li H, Dong Y. Horizontal loading performance of offshore wind turbine pile foundation based on DPP-BOTDA. Applied Sciences, 2020, 10(2): 492,

[5]

Hartog A H. . An Introduction to Distributed Optical Fibre Sensors, 2017 Boca Raton CRC Press,

[6]

Horiguchi T, Tateda M. BOTDA-nondestructive measurement of single-mode optical fiber attenuation characteristics using Brillouin interaction: theory. Journal of Lightwave Technology, 1989, 7(8): 1170-1176,

[7]

Soto M A, Taki M, Bolognini G, Pasquale F D. Optimization of a DPP-BOTDA sensor with 25 cm spatial resolution over 60 km standard single-mode fiber using Simplex codes and optical pre-amplification. Optics Express, 2012, 20(7): 6860-6869,

[8]

Su H, Wen Z, Li P. Experimental study on PPP-BOTDA-based monitoring approach of concrete structure crack. Optical Fiber Technology, 2021, 65: 102590,

[9]

Gutiérrez F. . “Sinkhole hazards, 2016 Oxford Oxford University Press 1-92

[10]

Gutiérrez F, Benito-Calvo A, Carbonel D, Desir G, Sevil J, Guerrero J, et al.. Review on sinkhole monitoring and performance of remediation measures by high-precision leveling and terrestrial laser scanner in the salt karst of the Ebro valley, Spain. Engineering Geology, 2019, 248: 283-308,

[11]

Culverhouse D, Farahi F, Pannell C N, Jackson D A. Stimulated Brillouin scattering: a means to realise tunable microwave generator or distributed temperature sensor. Electronics Letters, 1989, 25(14): 915-916,

[12]

Horiguchi T, Kurashima T, Tateda M. Tensile strain dependence of Brillouin frequency shift in silica optical fibers. IEEE Photonics Technology Letters, 1989, 1(5): 107-108,

[13]

Ohno H, Naruse H, Kihara M, Shimada A. Industrial applications of the BOTDR optical fiber strain sensor. Optical Fiber Technology, 2001, 7(1): 45-64,

[14]

Zhou Z, He J, Yan K, Ou J. Fiber-reinforced polymer-packaged optical fiber sensors based on Brillouin optical time-domain analysis. Optical Engineering, 2008, 47(1): 014401,

[15]

Leung C K Y, Wan K T, Inaudi D, Bao X, Habel W, Zhou Z, et al.. Review: optical fiber sensors for civil engineering applications. Materials and Structures, 2013, 48(4): 871-906,

[16]

Chen H, He J, Xue Y, Zhang S. Experimental study on sinkhole collapse monitoring based on distributed Brillouin optical fiber sensor. Optik, 2020, 216: 164825,

[17]

Y. Dong, X. Bao, and L. Chen, “High-axial-resolution distributed lateral displacement measurement based on differential pulse-width pair BOTDA,” in 21st International Conference on Optical Fiber Sensors, Ottawa, 2011, pp. 1482–1485.

[18]

Wu H, Zhu H H, Zhang C C, Zhou G Y, Zhu B, Zhang W, et al.. Strain integration-based soil shear displacement measurement using high-resolution strain sensing technology. Measurement, 2020, 166: 108210,

[19]

Sang H, Zhu H H, Zhang C C, Zhou G Y, Zhu B, Zhang W, et al.. Strain distribution based geometric models for characterizing the deformation of a sliding zone. Engineering Geology, 2019, 263: 105300,

[20]

D. Hauswirth, M. Iten, and A. M. Puzrin, “Detection of ground movements using soil-embedded distributed fiber optic sensors,” in Geotechnical and Geophysical Site Characterization: Proceedings of the 4th International Conference on Site Characterization ISC-4, Basel, Switzerland, 2013, pp. 579–586.

[21]

Liu S P, Shi B, Gu K, Zhang C C, Yang J L, Zhang S, et al.. Land subsidence monitoring in sinking coastal areas using distributed fiber optic sensing: a case study. Natural Hazards, 2020, 103(3): 3043-3061,

[22]

Gu K, Shi B, Liu C, Jiang H, Li T, Wu J. Investigation of land subsidence with the combination of distributed fiber optic sensing techniques and microstructure analysis of soils. Engineering Geology, 2018, 240: 34-47,

[23]

Peled Y, Motil A, Kressel I, Tur M. Monitoring the propagation of mechanical waves using an optical fiber distributed and dynamic strain sensor based on BOTDA. Optics Express, 2013, 21(9): 10697-10705,

[24]

Liu J, Wang Y, Lu Y, Wei J, Kanungo D P. Application of distributed optical fiber sensing technique in monitoring the ground deformation. Journal of Sensors, 2017, 2017: e6310197,

[25]

Benito-Calvo A, Gutiérrez F, Martínez-Fernández A, Carbonel D, Karampaglidis T, Desir G, et al.. 4D monitoring of active sinkholes with a terrestrial laser scanner (TLS): a case study in the evaporite karst of the Ebro valley, NE Spain. Remote Sensing, 2018, 10(4): 571,

[26]

Domínguez-López A, López-Gil A, Martín-López S, González-Herráez M. Signal-to-noise ratio improvement in BOTDA using balanced detection. IEEE Photonics Technology Letters, 2014, 26(4): 338-341,

[27]

De Waele J, Gutiérrez F. . Karst Hydrogeology, Geomorphology3and3Caves,3, 2022 Hoboken Wiley-Blackwell,

[28]

Sevil J, Gutiérrez F, Carnicer C, Carbonel D, Desir G, García-Arnay Á, et al.. Characterizing and monitoring a high-risk sinkhole in an urban area underlain by salt through non-invasive methods: detailed mapping, high-precision leveling and GPR. Engineering Geology, 2020, 272: 105641,

AI Summary AI Mindmap
PDF

217

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/