Experimental study on distributed optical fiber heated-based seepage behavior identification in hydraulic engineering

Su, Huaizhi; Cui, Shusheng; Wen, Zhiping; Xie, Wei

doi:10.1007/s00231-018-2431-2

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Based on the above method, the tension and displacement of Geomembrane can be obtained by numerical iteration (Su et al, 2019), and the influence of various parameters of landfill slope on the displacement and tension of Geomembrane can be analyzed by numerical method. In this paper, the main parameters affecting the displacement and tension of Geomembrane, inclination q, length L, elastic modulus E and height H, are studied.…”

Section: Numerical Solution Of Finite Differencementioning

confidence: 99%

Study on the Internal Force of Geomembrane of Landfill in Heavy Metal Contaminated Area

Zhang

2020

Earth sci. res. j.

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In order to analyze the tension stress of Geomembrane in the seepage control system of a landfill in a heavy metal contaminated area under the action of the overlying landfill weight, the internal force of Geomembrane in a landfill is studied in this paper. Firstly, according to the internal force analysis of Geomembrane model, the basic equation of Geomembrane is obtained, and the equation is analyzed by finite difference numerical solution, so as to analyze the internal force of Geomembrane in a landfill. The method can analyze three stress states of Geomembrane-clay interface at different positions: elastic state, softening state and residual state, which makes the stress analysis of Geomembrane on landfill slope more reasonable. Parametric analysis shows that when the strength loss and the difference between residual displacement and peak displacement are small in the softening stage, the peak strength of Geomembrane-clay interface has little influence on the maximum tensile stress of Geomembrane and its residual strength is the main controlling factor, and when the softening characteristics of Geomembrane-clay interface are obvious, the influence of peak strength and residual displacement is more obvious. ABSTRACT Study on the Internal Force of Geomembrane of Landfill in Heavy Metal Contaminated AreaEstudio sobre la fuerza interna de la geomembrana del relleno sanitario en un área contaminada con metales pesados Con el fin de analizar el esfuerzo de tensión de la Geomembrana (una lamina geosintética que busca evitar la migración de contaminantes al suelo) en el sistema de control de infiltración de vertederos en áreas contaminadas con metales pesados bajo la acción del peso del vertedero suprayacente, en este documento se estudia la fuerza interna de la Geomembrana en los vertederos. En primer lugar, de acuerdo con el análisis de fuerza interna del modelo de la Geomembrana se obtiene la ecuación básica de la lámina, y la ecuación se analiza por solución numérica de diferencia finita para medir su fuerza interna en el relleno sanitario. El método puede analizar tres estados de tensión de la interfaz de Geomembrana-arcilla en diferentes posiciones: estado elástico, estado de reblandecimiento y estado residual, lo que hace que el análisis de tensión de la Geomembrana en la pendiente del vertedero sea más razonable. El análisis paramétrico muestra que cuando la pérdida de resistencia y la diferencia entre el desplazamiento residual y el desplazamiento máximo son pequeñas en la etapa de reblandecimiento, la resistencia máxima de la interfaz Geomembrana-arcilla tiene poca influencia en el esfuerzo de tensión máximo de la Geomembrana, y su resistencia residual es el principal factor de control; y cuando las características de ablandamiento de la interfaz Geomembranaarcilla son obvias, la influencia de la resistencia máxima y el desplazamiento residual es más obvia. RESUMEN Record

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Section: Numerical Solution Of Finite Differencementioning

confidence: 99%

Study on the Internal Force of Geomembrane of Landfill in Heavy Metal Contaminated Area

Zhang

2020

Earth sci. res. j.

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“…Given the urgency required in construction practice, the leakage detection technology for diaphragm wall joints is being developed constantly. At present, the detection methods include leakage monitoring based on capacitive sensors [ 6 ], electromagnetic leakage detection technology [ 7 ], tracer method leak detection technology [ 8 ], and distributed fiber optic percolation detection technology [ 9 ]. Du [ 10 ] monitored the infiltration process of liquid in rock and soil by using the direct current resistivity method.…”

Section: Introductionmentioning

confidence: 99%

Conceptual Model, Experiment and Numerical Simulation of Diaphragm Wall Leakage Detection Using Distributed Optical Fiber

et al. 2023

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Leakage in the diaphragm wall is difficult to detect in deep foundation pits. In this study, the conceptual model of active and passive thermal leak detection methods was proposed according to the occurrence of temperature field anomalies caused by seepage. Experiments were performed using a heating system and an optical fiber temperature measurement system to verify the thermal leakage detection systems. Numerical simulations were performed to understand the mechanism of the detecting method. Results indicated that the optical cable could detect the low-temperature anomaly in the active temperature field leak detection. The arrangement method of the leakage detection system was also presented in actual engineering.

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A 3D Thermal Field Restructuring Method for Concrete Dams Based on Real-Time Temperature Monitoring

et al. 2021

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Experimental study on distributed optical fiber heated-based seepage behavior identification in hydraulic engineering

Cited by 7 publications

References 11 publications

Study on the Internal Force of Geomembrane of Landfill in Heavy Metal Contaminated Area

Study on the Internal Force of Geomembrane of Landfill in Heavy Metal Contaminated Area

Conceptual Model, Experiment and Numerical Simulation of Diaphragm Wall Leakage Detection Using Distributed Optical Fiber

A 3D Thermal Field Restructuring Method for Concrete Dams Based on Real-Time Temperature Monitoring

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