Development of three-dimensional characteristic values for the classification of aggregates - Part 2: Correlation between three-dimensional particle shape and fresh and hardened mortar properties
Final Report Abstract
Fine and coarse aggregates make up the largest proportion of mortar and concrete by volume. Their morphological characteristics, such as shape or angularity, influence the properties of mortar and concrete. The DFG project investigated the extent to which the morphological properties of aggregates can be automatically determined using computer tomography (CT) images, the relationship between the morphological properties of aggregates and the properties of fresh and hardened mortar and the extent to which this information can be used for the targeted control of mortar properties. A method for the largely automated morphological characterization of aggregates was developed, which is based on CT images of loose fillings. This includes information on the required structural resolution, the necessary sample preparation and image processing, including automated segmentation of contacting grains using adaptive H-extrema transformation in combination with the watershed transformation or a random forest classifier. By determining the properties of different mortar compositions in the fresh and hardened state, the relationship with the morphological properties of the aggregates was investigated. Using multiple linear regression analysis, it was shown that there is a complex relationship between the morphological properties of the aggregate and the fresh and hardened mortar properties, which is characterized by a large number of interactions with other parameters of the mortar composition. Targeted control of fresh and hardened mortar properties is possible, taking into account grain shape and grain angularity.
Publications
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Characterization scheme for natural and recycled fine aggregate shape based on µCT imaging, in: Júlio, E.; Valenca, J.; Louro, A. S. (Eds.), Proceedings of the 18. fib Symposiums – New trends for eco-efficiency and performance, Lisbon, S. 795-804, ISBN 978-2-940643-08-0
Burgmann, S.; Dornisch-Bund, B. & Breit, W.
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Influence of voxel size for µCT imaging of particles on measurement accuracy. Construction and Building Materials, 289, 123148.
Burgmann, Sophie; Godehardt, Michael; Schladitz, Katja & Breit, Wolfgang
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Fine aggregate characterization by micro-computed tomography – Sample size and comparability to laboratory test results, in: di Prisco, M.; Meda, A.; Balázs, G.S. (Eds.), Proceedings of the 14. fib PhD Symposium in Civil Engineering, Rome, S. 409-416, ISBN 978-2-940643-17-2
Burgmann, S. & Breit, W.
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Fine aggregate shape characterization by µCT imaging and ist effect on mortar mix design, in: Abstract Book of the Young Researchers Symposium 2022, Kaiserslautern, S. 44
Burgmann, S.
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Separation of sand and gravel particles in 3D images using the adaptive h-extrema transform. Powder Technology, 404, 117468.
Burgmann, Sophie; Godehardt, Michael; Schladitz, Katja & Breit, Wolfgang
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„Please turn on your magic beam – Mr. Sandman bring us a dream“, in: Jahresbericht Konstruktiver Ingenieurbau 2021, S. 34-35
Burgmann, S. & Breit, W.
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Herausforderung Brechsand – Einfluss der Kornform auf die Eigenschaften von Mörtel und Beton, in: Jahresbericht Konstruktiver Ingenieurbau 2022, S. 44-45
Burgmann, S. & Breit, W.
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Impact of Crushed Natural and Recycled Fine Aggregates on Fresh and Hardened Mortar Properties. Construction Materials, 4(1), 37-57.
Burgmann, Sophie & Breit, Wolfgang
