Abstract
The dynamic behaviour of concrete-like materials under high strain rates has been a subject of continuous scrutiny over the years. A prevailing explanation attributes much of the dynamic increase of strength, especially under compression, to the macroscopic inertia confinement. Studies conducted by the authors' group using meso-scale computational models suggest that the heterogeneity of the material composition, in particular the involvement of the aggregates, also plays a sensible part in the process of damage evolution and the increase of the bulk strength under high strain rates, and a detailed investigation into this effect would benefit if a realistic representation of the heterogeneity in 3D can be achieved. This paper presents some recent progress in the development of a 3-D meso-scale computational model incorporating randomly-shaped 3-D aggregate particles, including the general validation of the model, and application in the simulation of the dynamic response of concrete under high strain rate compression.
Highlights
Concrete is highly non-homogenous material with large heterogeneities
On the mesoscale concrete is considered as a composite material comprising of coarse aggregate, mortar matrix and the interfacial transition zone (ITZ)
A mesoscale model permits a direct description of the material heterogeneity and allows for a realistic prediction of the development of damage within the mutiphase material
Summary
Concrete is highly non-homogenous material with large heterogeneities. Generally speaking, the description of concrete may be classified into three distinctive scales, namely macroscale, mesoscale and microscale. The primary difficulty arises from the representation of a random aggregate structure To circumvent this difficulty, simple shapes of aggregate particles like spheres or mixed spheres and ellipsoids are mostly used in previous research. A more accurate approximation of particle shapes represented by polyhedrons has been adopted by some researchers This method can approximate the real aggregate shape better than simple spheres and ellipsoids but it cannot satisfy the size grading curve. The mesoscale model generated from the enhanced procedure is verified against standard experimental observations under quasi-static compression Once the hierarchical representation is constructed, it is possible to detect the intersection condition by iteratively calculating the minimum distance which is not necessarily on the vertices between two particles
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