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Sensors 2018, 18(3), 771; https://doi.org/10.3390/s18030771

Visualization of Concrete Slump Flow Using the Kinect Sensor

1
Construction Robot and Automation Laboratory, Department of Civil & Environmental Engineering, Yonsei University, Seoul 03722, Korea
2
Engineering & Construction Group, Samsung C&T Corporation, Seoul 13530, Korea
*
Author to whom correspondence should be addressed.
Received: 7 February 2018 / Revised: 27 February 2018 / Accepted: 27 February 2018 / Published: 3 March 2018
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Abstract

Workability is regarded as one of the important parameters of high-performance concrete and monitoring it is essential in concrete quality management at construction sites. The conventional workability test methods are basically based on length and time measured by a ruler and a stopwatch and, as such, inevitably involves human error. In this paper, we propose a 4D slump test method based on digital measurement and data processing as a novel concrete workability test. After acquiring the dynamically changing 3D surface of fresh concrete using a 3D depth sensor during the slump flow test, the stream images are processed with the proposed 4D slump processing algorithm and the results are compressed into a single 4D slump image. This image basically represents the dynamically spreading cross-section of fresh concrete along the time axis. From the 4D slump image, it is possible to determine the slump flow diameter, slump flow time, and slump height at any location simultaneously. The proposed 4D slump test will be able to activate research related to concrete flow simulation and concrete rheology by providing spatiotemporal measurement data of concrete flow. View Full-Text
Keywords: visualization of flowable concrete; 3D depth sensor; Kinect; digital image processing; coordinate transform; slump flow test; concrete workability test; structural health monitoring during construction; automated measurement in construction visualization of flowable concrete; 3D depth sensor; Kinect; digital image processing; coordinate transform; slump flow test; concrete workability test; structural health monitoring during construction; automated measurement in construction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Kim, J.-H.; Park, M. Visualization of Concrete Slump Flow Using the Kinect Sensor. Sensors 2018, 18, 771.

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