Mitigation of geohazard risk along transportation infrastructures with optical fiber distributed sensing

Ravet, Fabien; Briffod, Fabien; Goy, Alexandre; Rochat, Etienne

doi:10.1007/s13349-021-00492-x

Cited by 15 publications

(8 citation statements)

References 33 publications

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“…As many of these techniques are relatively new technologies for most civil engineering applications, many of them are currently used only for research or on a small scale in the field or pilot projects. Application examples of advanced sensing systems are the monitoring of infrastructure [210,211], electricity and water distribution systems [212], and transportation systems [213].…”

Section: Sensing Technologiesmentioning

confidence: 99%

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

et al. 2023

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The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT) techniques has rapidly evolved and matured over the past few decades. Advances in sensor technology have facilitated deploying SHM systems for large-scale structures and local NDT of structural members. Although both methods have been successfully applied to identify structural damage in various systems, Environmental and Operational Condition (EOC) variations can influence sensor measurements and mask damage signatures in the structural response. EOCs include environmental conditions, such as temperature, humidity, and wind, as well as operational conditions, such as mass loading, vibration, and boundary conditions. The effect of EOCs can significantly undermine the reliability and robustness of damage assessment technologies and limit their performance. Thus, successful SHM and NDT systems can compensate for changing EOCs. This paper provides a state-of-the-art review of the effects of EOCs on SHM and NDT systems. It presents recent developments in advanced sensing technology, signal processing, and analysis techniques that aim to eliminate the masking effect of EOC variations and increase the damage sensitivity and performance of SHM and NDT systems. The paper concludes with current research challenges, trends, and recommendations for future research directions.

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Section: Sensing Technologiesmentioning

confidence: 99%

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

et al. 2023

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“…In References [1], [4], and [5], we discussed the use of DTS for hazard prevention. In these works, temperature spatial and temporal profiles characterizing erosion were evidenced and categorized.…”

Section: Soil-atmosphere Thermal Interactionmentioning

confidence: 99%

“…Fourier's work regarding heat propagation in solids, dating back to 1822, leads to the second law of heat conduction, also known as the equation of diffusion. Using Hillel assumptions, in particular that the heat source varies periodically at two paces, yearly and daily [6], and applying the resolution to the case of DTS monitoring along a natural gas pipeline in Peru ( [1], [4], and [5]), one get the temperature dependance against time (t) and depth (z)…”

Section: Soil-atmosphere Thermal Interactionmentioning

confidence: 99%

“…Some fibers are used by the transportation infrastructure owner or operator to monitor the integrity of their assets with optical fiber distributed sensing. The purpose of such monitoring is to prevent failures and service interruption caused by human activities and natural hazards [1] or to perform environmental monitoring [2]. A comprehensive introduction to optical fiber distributed sensing is available in reference [3].…”

Section: Introductionmentioning

confidence: 99%

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Correlation of El Niño 2014-2016 episode with DTS data

ravet,

Silva,

Muguruza

et al. 2023

European Workshop on Optical Fibre Sensors (EWOFS 2023)

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Distributed Temperature Sensing (DTS) has been widely used for infrastructure monitoring. Most common applications are pipeline leak detection prevention and geohazard mitigation as well as power cable thermal rating. The study of the soil-atmosphere thermal interaction reveals that natural phenomenon can be monitored with DTS and buried communication Optical Fiber Cables (OFC). The current article discusses the application of DTS to the monitoring of the effect of Soil-atmosphere thermal interaction showing annual and daily variations. DTS data from over 10 years is analyzed, allowing for the observation of the El Niño 2014-2016 event, which is among the strongest of the recent El Niño Southern Oscillation (ENSO) occurrences. It illustrates how DTS technology and communication backbone can provide data to study environmental effects at a global level.

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“…In distributed optical fiber sensing, the optical fiber is used as both a sensing element and a transmission medium, and the cost per unit distance is greatly reduced. Therefore, DTS is widely used and implemented in a variety of application areas such as electric power, 3 – 5 petrochemical, 6 large-scale infrastructure construction, 7 – 10 and other fields.…”

Section: Introductionmentioning

confidence: 99%

Improved wavelet modulus maximum method for distributed optical fiber temperature sensing

Zhang

Yan

et al. 2022

Opt. Eng.

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The temperature measurement accuracy of the Raman distributed optical fiber temperature sensing system is an important metric. Aimed at the reduction of the temperature measurement error, which is caused by the noises in the sensor system, an improved wavelet modulus maximum method, which combine the 3sigm criterion with the traditional wavelet modulus maximum algorithm is proposed. In this proposed algorithm, the 3sigm value is used as the threshold for the highest decomposition layer of the wavelet modulus maximum method to judge whether it is a signal or noise, instead of using the ratio of the modulus maximum of the highest decomposition level to the number of decomposition levels to determine the threshold. We conduct distributed temperature measurement on a 10-km long multimode fiber, and analyze the experimental data by using the improved algorithm. The results show that the temperature measurement fluctuation obtained by improved method is 0.497°C on average. It is better than the 1.13°C that is obtained by the traditional wavelet modulus maximum algorithm. Compared with the traditional algorithms, the 3sigm criterion algorithm has improved the temperature measurement accuracy significantly. The improved algorithm provides a new idea for the selection of the threshold value, which makes the threshold selection more statistically.

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Mitigation of geohazard risk along transportation infrastructures with optical fiber distributed sensing

Cited by 15 publications

References 33 publications

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

Correlation of El Niño 2014-2016 episode with DTS data

Improved wavelet modulus maximum method for distributed optical fiber temperature sensing

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