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In this section, you can access to the latest technical information related to the FUTURE project topic.
Parameterized implementation of a triple refined modeling framework for mesoscale concrete
As a typical heterogeneous composite material, concrete?s complex physical and mechanical behaviors on the macroscale are controlled by its mesoscale components and material properties. This paper aims to develop a refined modeling framework for mesoscale concrete using the parametric method, including the refined geometric aggregate model, refined aggregate placement process, and refined material assignment scheme. The geometric aggregates that consider micro/meso-scale morphology are first generated procedurally. Different degrees of mesh decimating operations are applied to the aggregates, and then the aggregate surface is smoothed by the Laplacian smoothing algorithm to build aggregate libraries of different resolutions. The 3D bin packing technique (3D BPT) is used to pack aggregates sequentially into the target bin to avoid overlapping detection. The Bullet physics engine is further used to simulate the compaction and vibration process of the packaged aggregates under the action of gravity and contact impulses caused by collisions to obtain the mesoscale geometric model with a high aggregate content. Furthermore, the material assignment schemes based on the statistical distribution and spatial correlation theory are applied to describe random-continuous fields of material properties. The chloride diffusion coefficient is used to illustrate the material assignment process. The triple refined modeling framework proposed in this paper provides a reference for high-fidelity parametric modeling of mesoscale concrete.
» Author: Zhishan Zheng, Chen Zeng, Xiaosheng Wei, Jiawen Chen
» Publication Date: 05/09/2022
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