Mesoscale models for concrete: homogenisation and damage behaviour

By Peter Wriggers, S. Moftah. 2006

776 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d8263b027a97e5558224d3743ef83d07188260c4

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In Mechanics of Materials

Citations in the corpus

Numerical Evaluation of the Influence of Aggregates on Concrete Compressive Strength at High Strain Rate (2011, methodology): “The random distribution of the aggregates is generated by a C-program with the following steps summarized in [41], Step 1: Randomly generate the position and diameter of an aggregate; Step 2: Check the boundary condition to avoid overlapping among the aggregates and between aggregate and the specime”
Modelling of compressive behaviour of concrete-like materials at high strain rate (2008, background): “The placing process can be summarised into the following steps (Wriggers and Moftah, 2006): Step 1: Random numbers defining the position and the diameter of the aggregate particle are generated.”
Mesoscale modelling of concrete tensile failure mechanism at high strain rates (2008, methodology): “However, in some models the ITZs are not included in the numerical simulation, such as [17,18,20], instead, the ideal bond between the aggregates and the mortar matrix are assumed.”
Meso-scale computational modeling of the plastic-damage response of cementitious composites (2011, methodology): “Wriggers and Moftah [51] considered 3-dimensional geometrical models for concrete, and three different sized spherical aggregates were used.”
Numerical Analysis of Lateral Inertial Confinement Effects on Impact Test of Concrete Compressive Material Properties (2010, methodology): “The programming procedure is summarized into the following steps [24]: Step 1: Randomly generate the position and diameter of an aggregate; Step 2: Check whether the boundary condition is satisfied to avoid overlapping among aggregates and between aggregate and the specimen boundary.”
Monte Carlo simulations of mesoscale fracture modelling of concrete with random aggregates and pores (2015, background): “For normal strength concrete, coarse aggregates usually represent 40–50% of the concrete volume [13].”