Distributed optical fiber-based theoretical and empirical methods monitoring hydraulic engineering subjected to seepage velocity

Su, Huaizhi; Tian, Shiguang; Cui, Shusheng; Yang, Meng; Wen, Zhiping; Xie, Wei

doi:10.1016/j.yofte.2016.05.008

Cited by 24 publications

(12 citation statements)

References 13 publications

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“…This interrogator has the integrated functions of heating the CFHC, measuring the distribution of temperature, deducing the soil moisture, and demonstrating the results. The working principle of this interrogator is based on the actively heated fiber optic (AHFO) method [38], which is suitable not only for laboratory experiments [38,39], but also for in situ tests [40][41][42][43]. Hence, the results measured with the AHFO method in these laboratory experiments can be compared with those in the field tests.…”

Section: Setup Of Calibration and Validation Testsmentioning

confidence: 99%

Feasibility Investigation of Improving the Modified Green–Ampt Model for Treatment of Horizontal Infiltration in Soil

Cao

Shi

Zhu

et al. 2019

Water

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Water infiltration in soil is a complex process that still requires appreciation of interactions among three phases (soil particles, water and air) to enable accurate estimation of water transport rates. To simulate this process, the Green–Ampt (GA) model and the Modified Green-Ampt (MGA) model introduced in the paper “A new method to estimate soil water infiltration based on a modified Green–Ampt model” have been widely used. The GA model is based on the hypothesis that the advance of the wetting front in soil under matric suction can be treated as a rectangular piston flow that is instantaneously transformed after passage of the infiltration front, and the MGA model does not contain the influence of pore size change. This cannot accurately reflect the soil moisture change process from unsaturation to saturation. Due to soil stratification and other inhomogeneity, predictions produced with these models often differ widely from observations. To quickly obtain the soil moisture distribution after passage of the wetting front for horizontal infiltration, an improved modified Green–Ampt (IMGA) model is presented, which estimates the soil moisture profile along a horizontal column in a piecewise manner with three functions. A logarithmic function is used to describe the gradual soil saturation process in the transmission zone, and two linear functions are used to represent the wetting zone. The algorithm of the IMGA model for estimating the water infiltration rate and cumulative infiltration is configured. To verify the effectiveness of IMGA model, a lab model test was performed, and a numerical model was built to solve the horizontal one-dimensional Richards equation using the finite–element method. The results show that the IMGA model is more accurate than the GA and MGA models. The horizontal soil moisture profiles obtained by the IMGA model are closer to the measured data than the numerical simulation results. The relative errors of the MGA and IMGA models decrease with an increase in infiltration time, whereas that of the GA model first decreases and then increases with infiltration time. The primary novelty of this study is nonlinear description of soil moisture content distribution, and derivation of unit transfer coefficient.

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Section: Setup Of Calibration and Validation Testsmentioning

confidence: 99%

Feasibility Investigation of Improving the Modified Green–Ampt Model for Treatment of Horizontal Infiltration in Soil

Cao

Shi

Zhu

et al. 2019

Water

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“…Several minutes or hours of alternate or direct current voltage are needed to produce this heating, and the electric cable is typically integrated into the same fibre cable. The use of a separate electrical cable kept at a constant distance from the optical fibre was investigated with interesting results [123][124][125]. Nonetheless, it is required that the optical fibre and the electrical cable be separated by a constant distance all along the cable-a condition not so easy to achieve in practical applications.…”

Section: Distributed Temperature Sensing For Soil Levees and Embankmentsmentioning

confidence: 99%

“…Although most of the applications and papers dealt with short-term measurement campaigns [107,137] or experiments in physical models [123,125,138,139], there are some examples testifying years-long measurement campaigns [100,106,140]-all employing Raman-DTSs. For example, within the framework of the project IJkdijk, Beck et al [106] analysed the data collected over a measurement period of one year to test the reliability of long-term data analysis approaches.…”

Section: Distributed Temperature Sensing For Soil Levees and Embankmentsmentioning

confidence: 99%

A Review of Distributed Fibre Optic Sensors for Geo-Hydrological Applications

2017

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Featured Application: Distributed fibre optic sensors for geo-hydrological applications: a comprehensive review about methodology, weaknesses, and strengths.Abstract: Distributed optical fibre sensing, employing either Rayleigh, Raman, or Brillouin scattering, is the only physical-contact sensor technology capable of accurately estimating physical fields with spatial continuity along the fibre. This unique feature and the other features of standard optical fibre sensors (e.g., minimal invasiveness and lightweight, remote powering/interrogating capabilities) have for many years promoted the technology to be a promising candidate for geo-hydrological monitoring. Relentless research efforts are being undertaken to bring the technology to complete maturity through laboratory, physical models, and in-situ tests. The application of distributed optical fibre sensors to geo-hydrological monitoring is here reviewed and discussed, along with basic principles and main acquisition techniques. Among the many existing geo-hydrological processes, the emphasis is placed on those related to soil levees, slopes/landslide, and ground subsidence that constitute a significant percentage of current geohazards.

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“…Water movement in the rock-soil medium of the dam can affect its temperature distribution during the time [1]. Consequently, studying the coupled temperature and seepage effects of the embankment dam may provide a theoretical basis to make a correlation between seepage and temperature fields, in order to find the safe states of the seepage [2]. Development of the seepage-heat monitoring technology in embankment dams makes it possible to analyze the seepage field and find the seepage failure points, by monitoring the temperature field.…”

Section: Introductionmentioning

confidence: 99%

Morris Sensitivity Analysis for Hydrothermal Coupling Parameters of Embankment Dam: A Case Study

Ren

Zhang

Yang

2019

Mathematical Problems in Engineering

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Recently, the use of the temperature tracer method has attracted a great deal of attention to study the dam leakage. Accurate estimation of temperature variations inside the dam is critical, and the task can be achieved by identifying which variables play more important roles in the hydrothermal coupling model (HTCM). In the present study, the HTCM of an embankment dam is defined based on the thermal conductivity model proposed by Lu et al. (2007). The thermal conductivity model needs several input parameters, many of which are usually determined by pedotransfer functions, which may introduce a certain degree of uncertainty. Using the Morris method, the embankment dam of a reservoir, located in Shaanxi province of China, was chosen as the case study to investigate the sensitivity of each parameter of the HTCM on the temperature field of the embankment dam. The sensitivity analysis showed that the hydraulic conductivity (Ks) of HTCM has the highest effect on the dam temperature field. On the other hand, the saturated water content (θs), residual water content (θr), and porosity (n) only slightly influence the temperature estimation of the model. Accordingly, the effects of these three parameters on the heat conduction and the subsequent temperature field of the dam can be neglected. Results of this study showed that the model correction workload can be substantially reduced. Hence, the efficiency of the model correction procedure leads to reasonable selection of decision parameters and can be significantly improved by reducing the number of these parameters for the HTCM of the embankment dam.

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Distributed optical fiber-based theoretical and empirical methods monitoring hydraulic engineering subjected to seepage velocity

Cited by 24 publications

References 13 publications

Feasibility Investigation of Improving the Modified Green–Ampt Model for Treatment of Horizontal Infiltration in Soil

Feasibility Investigation of Improving the Modified Green–Ampt Model for Treatment of Horizontal Infiltration in Soil

A Review of Distributed Fibre Optic Sensors for Geo-Hydrological Applications

Morris Sensitivity Analysis for Hydrothermal Coupling Parameters of Embankment Dam: A Case Study

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