A Case Study of the Self-Potential Method to Characterize Seepage and Earth Dam Materials

Tchoumkam, Linda Armelle Nzumotcha; Chouteau, Michel; Giroux, Bernard; Rivard, Patrice; Saleh, Kaveh; Côté, Alain

doi:10.1007/978-94-007-0723-8_134

Cited by 2 publications

(1 citation statement)

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“…9 However, these pore pressure sensors are not distributed sensors and are quite expensive and fragile. The self-potential measurements have also been deployed recently 10,11 with some interesting results, but the life of the non-polarizable electrodes used for these measurements prevents longterm monitoring. Geoelectric measurements are less sensitive to low-flow velocity leakages than temperature.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and early detection of internal erosion: Distributed sensing and processing

Khan

Vrabie

Beck

et al. 2014

Structural Health Monitoring

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International audienceEarly detection of leakages in hydraulic infrastructures is important to ensure their safety and security. Significant flow of water through the dike can be an indicator of internal erosion and results in a thermal anomaly. Temperature measurements are therefore capable of revealing information linked to leakage. Optical fiber-based distributed temperature sensors present an economically viable and reliable solution for recording spatio-temporal temperature data over long distances, with spatial and temperature resolutions of 1m and 0.05 C, respectively. The acquired data are influenced by several factors, among them water leakages, heat transfer through the above soil depth, seasonal thermal variations, and the geomechanical environment. Soil properties such as permeability alter the acquired signal locally. This article presents leakage detection methods based on signal processing of the raw temperature data from optical fiber sensors. The first approach based on source separation identifies leakages by separating them from the non-relevant information. The second approach presents a potential alarm system based on the analysis of daily temperature variations. Successful detection results for simulated as well as real experimental setups of Electricité de France are presented

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Section: Introductionmentioning

confidence: 99%