Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test
Worldwide, the standardized flow table test, the slump flow test or likewise methods are applied for the characterization of the workability of fresh concrete. These methods, however, give only very limited insight into the parameters controlling the workability of the concrete and important quality...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509524011240 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846165843842433024 |
|---|---|
| author | Tobias Schack Max Coenen Michael Haist |
| author_facet | Tobias Schack Max Coenen Michael Haist |
| author_sort | Tobias Schack |
| collection | DOAJ |
| description | Worldwide, the standardized flow table test, the slump flow test or likewise methods are applied for the characterization of the workability of fresh concrete. These methods, however, give only very limited insight into the parameters controlling the workability of the concrete and important quality factors, such as e.g. the homogeneity of the concrete, cannot be quantified at all. The paper at hand presents a novel image-based approach for the determination of the homogeneity of fresh concrete as part of the slump flow test. Photogrammetric computer vision and artificial intelligence-based algorithms are proposed for the derivation of three-dimensional and semantic representations of the fresh concrete’s slump cake. Characteristic values of the surface determined in this way are correlated with the criteria of the Visual Stability Index (VSI) according to ASTM C1611. Segregation was determined in image data by measuring the aggregate distribution gradient (ADGIA) on the surface and the separation of paste (dPaste) at the peripheral of the fresh concrete as part of the slump flow test. As shown in the results, the image-based method enables an automatic assessment of the homogeneity of fresh concretes during the flow test by deriving digital parameters related to the VSI. |
| format | Article |
| id | doaj-art-86c1e4f9f3a64f13968dfc223c3be18a |
| institution | Kabale University |
| issn | 2214-5095 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj-art-86c1e4f9f3a64f13968dfc223c3be18a2024-11-17T04:51:55ZengElsevierCase Studies in Construction Materials2214-50952024-12-0121e03973Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow testTobias Schack0Max Coenen1Michael Haist2Corresponding author.; Leibniz University Hannover, Institute of Building Materials Science, GermanyLeibniz University Hannover, Institute of Building Materials Science, GermanyLeibniz University Hannover, Institute of Building Materials Science, GermanyWorldwide, the standardized flow table test, the slump flow test or likewise methods are applied for the characterization of the workability of fresh concrete. These methods, however, give only very limited insight into the parameters controlling the workability of the concrete and important quality factors, such as e.g. the homogeneity of the concrete, cannot be quantified at all. The paper at hand presents a novel image-based approach for the determination of the homogeneity of fresh concrete as part of the slump flow test. Photogrammetric computer vision and artificial intelligence-based algorithms are proposed for the derivation of three-dimensional and semantic representations of the fresh concrete’s slump cake. Characteristic values of the surface determined in this way are correlated with the criteria of the Visual Stability Index (VSI) according to ASTM C1611. Segregation was determined in image data by measuring the aggregate distribution gradient (ADGIA) on the surface and the separation of paste (dPaste) at the peripheral of the fresh concrete as part of the slump flow test. As shown in the results, the image-based method enables an automatic assessment of the homogeneity of fresh concretes during the flow test by deriving digital parameters related to the VSI.http://www.sciencedirect.com/science/article/pii/S2214509524011240Slump flow testHomogeneityImage-based methodPhotogrammetric computer visionDigital quality control |
| spellingShingle | Tobias Schack Max Coenen Michael Haist Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test Case Studies in Construction Materials Slump flow test Homogeneity Image-based method Photogrammetric computer vision Digital quality control |
| title | Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test |
| title_full | Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test |
| title_fullStr | Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test |
| title_full_unstemmed | Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test |
| title_short | Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test |
| title_sort | digital slump flow image based assessment of fresh concrete homogeneity as part of the slump flow test |
| topic | Slump flow test Homogeneity Image-based method Photogrammetric computer vision Digital quality control |
| url | http://www.sciencedirect.com/science/article/pii/S2214509524011240 |
| work_keys_str_mv | AT tobiasschack digitalslumpflowimagebasedassessmentoffreshconcretehomogeneityaspartoftheslumpflowtest AT maxcoenen digitalslumpflowimagebasedassessmentoffreshconcretehomogeneityaspartoftheslumpflowtest AT michaelhaist digitalslumpflowimagebasedassessmentoffreshconcretehomogeneityaspartoftheslumpflowtest |