Details
| Original language | English |
|---|---|
| Pages (from-to) | 1555-1562 |
| Number of pages | 8 |
| Journal | ce/papers |
| Volume | 6 |
| Issue number | 6 |
| Publication status | Published - 6 Dec 2023 |
Abstract
Keywords
- Concrete raw materials, sensor technologies, fresh concrete, quality control, artificial intelligence, computer vision
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In: ce/papers, Vol. 6, No. 6, 06.12.2023, p. 1555-1562.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Concrete 4.0 - Sustainable concrete construction with digital quality control
AU - Haist, Michael
AU - Schack, Tobias
AU - Coenen, Max
AU - Vogel, Christian
AU - Beyer, Dries
AU - Heipke, Christian
N1 - The authors acknowledge the funding of the project “Re-CyCONtrol” (https://www.recycontrol.uni-hannover.de/) provided by the German Federal Ministry of Education and Research under the grant No. 033R260A, the funding of the project “Characterization of fresh concrete properties using optical measurement methods” provided by Deutscher Beton und Bautechnik Verein E.V. under the grant No. DBV321 and the funding of the project “Open Channel Flow” provided by the German Research Founda-tion under the grant No. 452024049. The authors would like to thank the following companies for their support in some aspects of the investigations: Heidelberger Beton GmbH, Master Builders Solutions Deutschland GmbH, Pemat Mischtechnik GmbH, Bikotronic GmbH, alcemy GmbH, Moß Abbruch-Erdbau-Recycling GmbH & Co. KG and the Bundesanstalt für Wasserbau (BAW).
PY - 2023/12/6
Y1 - 2023/12/6
N2 - Abstract Concrete is a mass commodity with more than approx. 250 Mio. batches of concrete being produced every year in Europe alone. Despite this enormous repetition rate, both the quality inspection of the concrete raw materials as well as of the mixed concrete are still primarily batch-based, relying on manual processes, thus hindering the application of modern process control schemes. The reasons for this lack are on the one hand to be seen in the lack of suitable sensor technologies and on the other hand in missing control algorithms. The paper at hand gives an overview on the current state of the art sensor technologies for both raw material as well as concrete properties measurement. Further, it outlines a pathway towards an online concrete process control.
AB - Abstract Concrete is a mass commodity with more than approx. 250 Mio. batches of concrete being produced every year in Europe alone. Despite this enormous repetition rate, both the quality inspection of the concrete raw materials as well as of the mixed concrete are still primarily batch-based, relying on manual processes, thus hindering the application of modern process control schemes. The reasons for this lack are on the one hand to be seen in the lack of suitable sensor technologies and on the other hand in missing control algorithms. The paper at hand gives an overview on the current state of the art sensor technologies for both raw material as well as concrete properties measurement. Further, it outlines a pathway towards an online concrete process control.
KW - Concrete raw materials
KW - sensor technologies
KW - fresh concrete
KW - quality control
KW - artificial intelligence
KW - computer vision
U2 - 10.1002/cepa.2965
DO - 10.1002/cepa.2965
M3 - Conference article
VL - 6
SP - 1555
EP - 1562
JO - ce/papers
JF - ce/papers
SN - 2509-7075
IS - 6
ER -