Concrete 4.0 - Sustainable concrete construction with digital quality control

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

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OriginalspracheEnglisch
Seiten (von - bis)1555-1562
Seitenumfang8
Fachzeitschriftce/papers
Jahrgang6
Ausgabenummer6
PublikationsstatusVeröffentlicht - 6 Dez. 2023

Abstract

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.

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Concrete 4.0 - Sustainable concrete construction with digital quality control. / Haist, Michael; Schack, Tobias; Coenen, Max et al.
in: ce/papers, Jahrgang 6, Nr. 6, 06.12.2023, S. 1555-1562.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Haist M, Schack T, Coenen M, Vogel C, Beyer D, Heipke C. Concrete 4.0 - Sustainable concrete construction with digital quality control. ce/papers. 2023 Dez 6;6(6):1555-1562. doi: 10.1002/cepa.2965
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title = "Concrete 4.0 - Sustainable concrete construction with digital quality control",
abstract = "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.",
keywords = "Concrete raw materials, sensor technologies, fresh concrete, quality control, artificial intelligence, computer vision",
author = "Michael Haist and Tobias Schack and Max Coenen and Christian Vogel and Dries Beyer and Christian Heipke",
note = "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, Mo{\ss} Abbruch-Erdbau-Recycling GmbH & Co. KG and the Bundesanstalt f{\"u}r Wasserbau (BAW). ",
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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

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EP - 1562

JO - ce/papers

JF - ce/papers

SN - 2509-7075

IS - 6

ER -

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