Details
| Translated title of the contribution | Image-based quality control - Part 2: Granulometric properties |
|---|---|
| Original language | German |
| Pages (from-to) | 556-564 |
| Number of pages | 9 |
| Journal | Beton- und Stahlbetonbau |
| Volume | 118 |
| Issue number | 8 |
| Publication status | Published - 2 Aug 2023 |
Abstract
Image-based quality control – part 2: granulometric properties. The changes in concrete technology necessary to achieve the climate protection targets will lead to a significant change in the concrete mixtures typically used. The raw materials used are becoming more diverse and complex. The use of recycled raw materials will also significantly increase the fluctuations in the properties of the raw materials. An Accurate and time-efficient determination of the granulometric properties of the aggregate is of crucial importance, especially for “eco-concretes”, in order to ensure consistent quality characteristics. As a natural raw material, the aggregate is subject to certain fluctuations to which such optimized concrete compositions can react relatively sensitively. In the future, it will be necessary to determine possible quality deviations of the fresh concrete resulting from fluctuations in the raw materials in a time-efficient manner in order to be able to make appropriate adjustments in the production process as quickly as possible. This paper presents an image-based quality control for the digital evaluation of granulometric properties of the aggregate as a part oft he flow table test. Accordingly, the range of properties of the image-based method already presented in Part 1 of this paper is extended to a fully comprehensive digital quality control. This paper presents the image-based determination of the granulometric properties of the aggregate as a part oft he flow table test. The determination is based on the image-based quality control described in part 1 of this paper.
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In: Beton- und Stahlbetonbau, Vol. 118, No. 8, 02.08.2023, p. 556-564.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Bildbasierte Frischbetonprüfung – Teil 2
T2 - Granulometrische Eigenschaften der Gesteinskörnung
AU - Schack, Tobias
AU - Coenen, Max
AU - Haist, Michael
PY - 2023/8/2
Y1 - 2023/8/2
N2 - Image-based quality control – part 2: granulometric properties. The changes in concrete technology necessary to achieve the climate protection targets will lead to a significant change in the concrete mixtures typically used. The raw materials used are becoming more diverse and complex. The use of recycled raw materials will also significantly increase the fluctuations in the properties of the raw materials. An Accurate and time-efficient determination of the granulometric properties of the aggregate is of crucial importance, especially for “eco-concretes”, in order to ensure consistent quality characteristics. As a natural raw material, the aggregate is subject to certain fluctuations to which such optimized concrete compositions can react relatively sensitively. In the future, it will be necessary to determine possible quality deviations of the fresh concrete resulting from fluctuations in the raw materials in a time-efficient manner in order to be able to make appropriate adjustments in the production process as quickly as possible. This paper presents an image-based quality control for the digital evaluation of granulometric properties of the aggregate as a part oft he flow table test. Accordingly, the range of properties of the image-based method already presented in Part 1 of this paper is extended to a fully comprehensive digital quality control. This paper presents the image-based determination of the granulometric properties of the aggregate as a part oft he flow table test. The determination is based on the image-based quality control described in part 1 of this paper.
AB - Image-based quality control – part 2: granulometric properties. The changes in concrete technology necessary to achieve the climate protection targets will lead to a significant change in the concrete mixtures typically used. The raw materials used are becoming more diverse and complex. The use of recycled raw materials will also significantly increase the fluctuations in the properties of the raw materials. An Accurate and time-efficient determination of the granulometric properties of the aggregate is of crucial importance, especially for “eco-concretes”, in order to ensure consistent quality characteristics. As a natural raw material, the aggregate is subject to certain fluctuations to which such optimized concrete compositions can react relatively sensitively. In the future, it will be necessary to determine possible quality deviations of the fresh concrete resulting from fluctuations in the raw materials in a time-efficient manner in order to be able to make appropriate adjustments in the production process as quickly as possible. This paper presents an image-based quality control for the digital evaluation of granulometric properties of the aggregate as a part oft he flow table test. Accordingly, the range of properties of the image-based method already presented in Part 1 of this paper is extended to a fully comprehensive digital quality control. This paper presents the image-based determination of the granulometric properties of the aggregate as a part oft he flow table test. The determination is based on the image-based quality control described in part 1 of this paper.
KW - consistency
KW - digital quality control
KW - flow table test
KW - granulometry
KW - image-based method
UR - http://www.scopus.com/inward/record.url?scp=85157992413&partnerID=8YFLogxK
U2 - 10.1002/best.202300038
DO - 10.1002/best.202300038
M3 - Artikel
AN - SCOPUS:85157992413
VL - 118
SP - 556
EP - 564
JO - Beton- und Stahlbetonbau
JF - Beton- und Stahlbetonbau
SN - 0005-9900
IS - 8
ER -