Visualization of concrete slump flow using the kinect sensor

Jung Hoon Kim, Minbeom Park

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationSensors (Switzerland)
PublisherMDPI AG
ISBN (Print)8222123580
DOIs
Publication statusPublished - 2018 Mar 3

Publication series

NameSensors (Switzerland)
Volume18

Fingerprint

Visualization
Concretes
Sensors
Stop watches
High performance concrete
Flow simulation
Quality management
Rheology
Monitoring
Processing

Cite this

Kim, J. H., & Park, M. (2018). Visualization of concrete slump flow using the kinect sensor. In Sensors (Switzerland) (Sensors (Switzerland); Vol. 18). MDPI AG. https://doi.org/10.3390/s18030771
Kim, Jung Hoon ; Park, Minbeom. / Visualization of concrete slump flow using the kinect sensor. Sensors (Switzerland). MDPI AG, 2018. (Sensors (Switzerland)).
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Kim, JH & Park, M 2018, Visualization of concrete slump flow using the kinect sensor. in Sensors (Switzerland). Sensors (Switzerland), vol. 18, MDPI AG. https://doi.org/10.3390/s18030771

Visualization of concrete slump flow using the kinect sensor. / Kim, Jung Hoon; Park, Minbeom.

Sensors (Switzerland). MDPI AG, 2018. (Sensors (Switzerland); Vol. 18).

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - 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.

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M3 - Chapter

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Kim JH, Park M. Visualization of concrete slump flow using the kinect sensor. In Sensors (Switzerland). MDPI AG. 2018. (Sensors (Switzerland)). https://doi.org/10.3390/s18030771