Automatic Camera-based advanced Slump Flow Testing for Improved Reliability

被引:0
作者
Duerrbaum, Axel [1 ]
Rezazadeh, Farzad P. [1 ]
Kroll, Andreas [1 ]
机构
[1] Univ Kassel, Dept Measurement & Control, Kassel, Germany
来源
2023 IEEE SENSORS | 2023年
关键词
concrete; slump flow test; building materials; imaging; industrial instrumentation and measurement; YIELD-STRESS;
D O I
10.1109/SENSORS56945.2023.10325030
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Manual methods used in assessing concrete properties often face significant drawbacks due to inherent inaccuracies and human errors regarding measurements and timing. To address this, this study introduces a novel automated camera-based system designed for conducting slump flow measurements, for improving the consistency and accuracy of assessing concrete flowability and its subsequent effect on compressive and flexural strength. By acquiring real-time data and reducing human intervention, it provides accurate tracking of concrete flow dynamics, standardized timings, and reduces error margins, thereby improving test reliability. Moreover, the proposed slump flow approximation function facilitates continuous time-based analysis of fresh concrete flow, potentially improving concrete property prediction.
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页数:4
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