ArticleSensors (Basel, Switzerland)2018
Visualization of Concrete Slump Flow Using the Kinect Sensor.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Feasibility of Full-Range Replacement of Natural Coarse Aggregates with Recycled Foam Concrete Aggregate: Effects on Rheology, Mechanical Degradation, and Shear Resistance.Materials (Basel, Switzerland) · 2026Article
- 3D Concrete Printing: A Systematic Review of Rheology, Mix Designs, Mechanical, Microstructural, and Durability Characteristics.Materials (Basel, Switzerland) · 2021Review
- Interlaboratory Comparative Tests in Ready-Mixed Concrete Quality Assessment.Materials (Basel, Switzerland) · 2021Article
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Authors and funding
2 authors.
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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.
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