A review of distributed fibre optic sensors for geo-hydrological applications
L Schenato - Applied Sciences, 2017 - mdpi.com
Featured Application Distributed fibre optic sensors for geo-hydrological applications: a
comprehensive review about methodology, weaknesses, and strengths. Abstract Distributed …
comprehensive review about methodology, weaknesses, and strengths. Abstract Distributed …
Raman scattering-based distributed temperature sensors: A comprehensive literature review over the past 37 years and towards new avenues
Over the last 37 years, particular interest has been directed towards exploring the
characteristics of the optical environment for sensing, giving rise to what would now be one …
characteristics of the optical environment for sensing, giving rise to what would now be one …
Pipeline leak detection using Raman distributed fiber sensor with dynamic threshold identification method
Y Xu, J Li, M Zhang, T Yu, B Yan, X Zhou… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
We propose and experimental demonstrate a Dynamic Threshold Identification Method
(DTIM) based on the Raman distributed fiber sensor (RDFS) system for detecting the …
(DTIM) based on the Raman distributed fiber sensor (RDFS) system for detecting the …
An optical fiber-based monitoring system to study the seepage flow below the landside toe of a river levee
The development of innovative monitoring systems to mitigate the risk associated to river
levee failure is a recent challenge involving synergic effort of public institutions, specialized …
levee failure is a recent challenge involving synergic effort of public institutions, specialized …
Monitoring heat transfer for seepage in earth-rock dams with clay cores considering damaged areas: Laboratory experiments and numerical Modeling
Z Ma, J Ren, L Zhang, H Li, S Yang, S Nan - Computers and Geotechnics, 2023 - Elsevier
This study conducted a laboratory test and two-dimensional numerical simulation on
seepage heat monitoring of a core rockfill dam. A fully automatic laboratory test system for …
seepage heat monitoring of a core rockfill dam. A fully automatic laboratory test system for …
Temperature tracing test and numerical simulation study during leakage of earth-rock dam
A Zhang, L Cheng, B Cao, J Yang - International Journal of Thermal …, 2023 - Elsevier
The leakage of earth rock dams exhibits characteristics of space-time randomness,
concealment, and significant destructiveness. Prompt detection and identification of dam …
concealment, and significant destructiveness. Prompt detection and identification of dam …
[HTML][HTML] Use of fiber-optic sensors to monitor concrete dams: recent breakthroughs and new opportunities.
Structural health monitoring of dams is a cornerstone tool for engineers to assess and
ensure dam safety. One of the keystones of structural health monitoring is the acquisition of …
ensure dam safety. One of the keystones of structural health monitoring is the acquisition of …
A novel distributed fiber optic hydrostatic pressure sensor for dike safety monitoring
Pore water pressure is the main driving force for soil collapse in nature. River dikes, earth
dams, and the foundation of structures built in water are eroded by internal infiltration into …
dams, and the foundation of structures built in water are eroded by internal infiltration into …
Laboratory studies using electrical resistivity tomography and fiber optic techniques to detect seepage zones in river embankments
We present the results of laboratory experiments on a down-scaled river levee constructed
with clayey material collected from a river embankment where a permanent resistivity …
with clayey material collected from a river embankment where a permanent resistivity …
Application of electrical tomography imaging using machine learning methods for the monitoring of flood embankments leaks
This paper presents an application for the monitoring of leaks in flood embankments by
reconstructing images in electrical tomography using logistic regression machine learning …
reconstructing images in electrical tomography using logistic regression machine learning …