A bundled time domain reflectometry‐based sensing cable for monitoring of bridge scour

2019 ◽  
Vol 26 (5) ◽  
pp. e2345 ◽  
Author(s):  
Kai Wang ◽  
Chih‐Ping Lin ◽  
Chih‐Chung Chung
Keyword(s):  
Time Domain ◽  
Time Domain Reflectometry ◽  
Bridge Scour

A new time-domain reflectometry bridge scour sensor

2013 ◽  
Vol 12 (2) ◽  
pp. 99-113 ◽  
Author(s):  
Xinbao Yu ◽  
Bin Zhang ◽  
Junliang Tao ◽  
Xiong Yu
Keyword(s):  
Time Domain ◽  
Time Domain Reflectometry ◽  
Bridge Scour ◽  
New Time

scholarly journals Laboratory Evaluation of Time-Domain Reflectometry for Bridge Scour Measurement: Comparison with the Ultrasonic Method

2010 ◽  
Vol 2010 ◽  
pp. 1-12 ◽  
Author(s):  
Xinbao Yu ◽  
Xiong Yu
Keyword(s):  
Real Time ◽  
Time Domain ◽  
Ultrasonic Method ◽  
Time Domain Reflectometry ◽  
Laboratory Evaluation ◽  
Bridge Scour ◽  
Analysis Algorithm ◽  
Ultrasonic Methods ◽  
Scour Monitoring ◽  
The Time Domain

Bridge scour is a major factor causing instability of bridges crossing waterways. Excessive scour contributes to their high construction and maintenance costs. Design of innovative scour-monitoring instrumentation is essential to ensure the safety of scour-critical bridges. The ability of real-time surveillance is important since the most severe scour typically happens near the peak flood discharge. A new scour-monitoring instrument based on the Time Domain Reflectometry (TDR) principle has been developed to provide real-time monitoring of scour evolution. A framework based on dielectric mixing model has been developed, which can be easily incorporated into an automatic analysis algorithm. This paper introduces a comparative study of TDR method and ultrasonic method for scour measurements. The results indicate that both TDR and ultrasonic methods can accurately estimate scour depth. TDR method, with the developed analysis algorithm, yields information on the river properties such as the electrical conductivity of river water and the density of sediments. TDR methods are also found less influenced by turbulence and air bubbles, both likely to occur during flood events.

New types of time domain reflectometry sensing waveguides for bridge scour monitoring

2017 ◽  
Vol 26 (7) ◽  
pp. 075014 ◽  
Author(s):  
Chih-Ping Lin ◽  
Kai Wang ◽  
Chih-Chung Chung ◽  
Yu-Wen Weng
Keyword(s):  
Time Domain ◽  
Time Domain Reflectometry ◽  
Bridge Scour ◽  
Scour Monitoring

Circular time-domain reflectometry system for monitoring bridge scour depth

2019 ◽  
Vol 38 (3) ◽  
pp. 312-321 ◽  
Author(s):  
Jung-Doung Yu ◽  
Jong-Sub Lee ◽  
Hyung-Koo Yoon
Keyword(s):  
Time Domain ◽  
Time Domain Reflectometry ◽  
Scour Depth ◽  
Bridge Scour

Development and evaluation of an automation algorithm for a time-domain reflectometry bridge scour monitoring system

2011 ◽  
Vol 48 (1) ◽  
pp. 26-35 ◽  
Author(s):  
X. B. Yu ◽  
X. Yu
Keyword(s):  
Monitoring System ◽  
Time Domain ◽  
Monitoring Program ◽  
Suspended Sediments ◽  
Air Entrainment ◽  
Depth Estimation ◽  
Time Domain Reflectometry ◽  
Bridge Scour ◽  
Scour Monitoring ◽  
Bridge Foundation

Bridge scour is a major threat to the safety of bridges. There is a high risk of scour-induced damage due to the catastrophic nature of bridge foundation failure. The development of an innovative bridge scour monitoring system is a pressing task for the research community. Such a system needs to be fieldworthy, which is a characteristic assessed in terms of accuracy, ruggedness, and automation. Among these criteria, an automatic signal analysis algorithm is generally a prerequisite for deploying a long-term field monitoring program. This paper describes the development and validation of an algorithm for a scour monitoring system based on the principles of guided radar: time-domain reflectometry (TDR). This algorithm is based on the extension of the classic dielectric mixing model to layered systems. The performance of this algorithm is evaluated using experiments designed to simulate different field scour conditions. These include different types of sediments and the variation of river conditions (i.e., salinity of river water, air entrainment, and amount of suspended sediments). The experiment results indicate that the developed analyses algorithm is robust and accurate for scour-depth estimation under these investigated conditions.

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