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Compressive Fatigue Behaviour of High-Strength Concrete and Mortar: Experimental Investigations and Computational
Nadja Oneschkow1, Tim Timmermann1, Stefan Löhnert2
1Institute of Building Materials Science, Leibniz University Hannover, Appelstraße 9a, 30167 Hannover, Germany.
Investigating high-strength concrete and mortar under fatigue loading revealed that basalt coarse aggregate enhances concrete
Area of Science:
- Materials Science
- Civil Engineering
- Structural Engineering
Background:
- High-strength concrete and mortar are crucial in modern construction.
- Understanding their fatigue behavior under compressive loading is essential for structural integrity.
- The role of coarse aggregates in concrete's fatigue performance requires detailed investigation.
Purpose of the Study:
- To comparatively investigate the compressive fatigue behavior of high-strength concrete and mortar.
- To analyze the influence of basalt coarse aggregate on the fatigue performance of high-strength concrete.
- To validate experimental findings with computational simulations.
Main Methods:
- Experimental analysis using macroscopic damage indicators: strain, stiffness, and acoustic emission hits.
- Computational simulation employing a finite element approach with a gradient-enhanced equivalent strain-based damage model and a fatigue model.
- Modeling concrete with a random distribution of spherically shaped basalt aggregates.
Main Results:
- Distinct differences in fatigue behavior were observed between concrete and mortar, particularly at lower stress levels.
- Basalt coarse aggregate improved the fatigue behavior of concrete at lower stress levels.
- A potential negative effect of basalt aggregate was indicated at higher stress levels.
Conclusions:
- Basalt coarse aggregate significantly influences the fatigue performance of high-strength concrete.
- The finite element model accurately predicts the strain development in concrete and mortar under fatigue loading.
- Experimental and computational results show excellent agreement, validating the proposed modeling approach.
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