2013
DOI: 10.1061/(asce)hy.1943-7900.0000725
|View full text |Cite
|
Sign up to set email alerts
|

Time-Average Velocity and Turbulence Measurement Using Wireless Bend Sensors in an Open Channel with a Rough Bed

Abstract: This paper is motivated by the need to develop low cost, wireless velocity sensors for hydraulic research and application in streams. A velocity bend sensor (VBS) is a flexible plastic polyimide substrate sheet with an electronic resistor connected to a voltage divider. Drag of a moving fluid bends the sensor, changes the electronic resistance, and produces a voltage drop that can be related to the time-averaged freestream velocity of the fluid. VBSs were tested in a recirculating hydraulic flume with a gravel… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 35 publications
0
2
0
Order By: Relevance
“…On the other hand, estimation of U ∞ requires only a single velocity measurement at a location where velocity gradients are small and thus errors introduced by improperly estimating the location of maximum velocity is not likely to have significant impact on estimates or the accuracy of predicted velocity distributions. Further, in the nonuniform case, such measurements could be carried out in pools within gravel bed rivers using velocity sensors, such as inexpensive velocity bend sensors (Stewart et al, 2013), in order to provide a longitudinal velocity distribution within a reach. The ability to accurately estimate U ∞ compared to the friction velocity may provide for the improved collapse of the velocity distributions.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, estimation of U ∞ requires only a single velocity measurement at a location where velocity gradients are small and thus errors introduced by improperly estimating the location of maximum velocity is not likely to have significant impact on estimates or the accuracy of predicted velocity distributions. Further, in the nonuniform case, such measurements could be carried out in pools within gravel bed rivers using velocity sensors, such as inexpensive velocity bend sensors (Stewart et al, 2013), in order to provide a longitudinal velocity distribution within a reach. The ability to accurately estimate U ∞ compared to the friction velocity may provide for the improved collapse of the velocity distributions.…”
Section: Discussionmentioning
confidence: 99%
“…However, it is possible to verify some studies that demonstrate the applicability of this type of sensor for this purpose. For example, Fan et al [21] employ the sensor to monitor the airflow velocity in real-time, helping to save energy consumption in a wastewater treatment process; Xu et al [22] report a way to monitor water flow in pipelines using a flexible resistive film; Srinivasan, Sen, Kumar and Sabebu [23] use the sensor as a cantilever beam for flow measurement for moderate flow applications; Stewart, Fox and Harnett [24] developed a velocity sensor using the bend sensor for application in streams; Gonçalves, Medeiros, and Barbosa [25] presented a study of the resistive sensor application to measure the flow of water through the comparison between the results of experimental electromechanical characterization with a computer simulation, and these same authors [26] also proposed an adaptation of the valves commonly present in residential hydraulic systems, using a bend sensor, and demonstrated a new methodology for measuring the volume of water consumed in autonomous units.…”
Section: Thin-film Resistive Sensormentioning
confidence: 99%