Random and Gradient Based Fields in Discrete Particle Models of Heterogeneous Materials

Abstract

Abstract

Advances in Gaussian random field generation: a review

“…20 Left: Weibull-Gauss probability distribution used for randomization of element parameters; Right: a random field of model parameters generated on a regular grid and projected to the model elements, Eliáš et al (2015) [26] erties, limit state criteria, and exposure conditions, were generated using the spectral method. Podroužek et al (2017) [100] combined the random and gradient based fields in an attempt to capture material properties and associated variability stemming from the microstructure and macroscopic features such as the placement of coarse aggregates in random heterogeneous materials (e.g., concrete structures, infrastructure). In their study, the original particle placement scheme combined with one or more spatially variable Gaussian fields, were used to describe local fluctuations of material properties resulting from its inherent variability and construction or transport processes (see Fig.…”

Design for lifecycle robustness of fastening systems

“…This way safe locations without cracks or limited crack width for the placement of anchors can be verified. Recent work on modelling adhesive anchors in a discrete element framework includes [8], the effect of aggregates on the concrete cone capacity is detailed in [9] and the sensitivity to casting orientation is described in [10].…”

“…This way safe locations without cracks or limited crack width for the placement of anchors can be verified. Recent work on modelling adhesive anchors in a discrete element framework includes [8], the effect of aggregates on the concrete cone capacity is detailed in [9] and the sensitivity to casting orientation is described in [10].The future requirements on faster and automated construction, improved life-cycle performance and sustainability of infrastructure in general increasingly promote the use of fastening technology. This paper addresses the concept of lifecycle robustness by introducing an ensemble of technical and management measures, covering the entire life span from design, construction, operation and decommissioning.…”