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Prozessbegleitende Ableitung mechanischer Eigenschaften hochfester Betone bei Schnellfertigung.
- Source :
-
Beton- Und Stahlbetonbau . Nov2024, Vol. 119 Issue 11, p798-809. 12p. - Publication Year :
- 2024
-
Abstract
- Process‐accompanying derivation of mechanical properties of high‐strength concretes during rapid production The prefabrication of reinforced concrete components bears considerable advantages over conventional in‐situ concrete construction. For instance, an integration of rapid heat treatment allows the processing time in rapid production to be reduced to just a few hours. Treatment time and temperature affect the development of the mechanical properties most. Control of the latter ensures the quality of the components. For concrete components, destructive tests on accompanying samples are common. In this paper, a method is developed with which compressive strength, modulus of elasticity and bond strength can be derived from testing integrated in the production process. The suitability of rebound hammer testing is analysed, taking into account the boundary conditions of heat treatment. Experiments are used to determine the specified target values for the high‐strength Nanodur concrete during production with varying times of heat treatment. The experimental results are compared to the ones derived from standardised correlations. In this way, a model is formed with which primarily the compressive strength and along with it the modulus of elasticity and the bond strength are obtained. The method is discussed against the experimental and theoretical findings. Its application is demonstrated on a simple example and recommendations for checking the mechanical properties in rapid production practically are provided. [ABSTRACT FROM AUTHOR]
Details
- Language :
- German
- ISSN :
- 00059900
- Volume :
- 119
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- Beton- Und Stahlbetonbau
- Publication Type :
- Academic Journal
- Accession number :
- 180681787
- Full Text :
- https://doi.org/10.1002/best.202400042