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• W3215719653 abstract "This study develops a computational framework for highly efficient generation of realistic mesoscale concrete models by exploiting micro XCT 3D images, a bin packing algorithm and an open-source dynamic physics engine (“Bullet”). The aggregates extracted from an XCT image dataset are first smoothed by the HC-Laplacian algorithm and then surface-meshed with optimisation . A library of aggregates characterised with five shape indices is then built and subsequently used with a “greedy search” bin packing algorithm to generate meso-models of concrete according to specified volume fraction and size gradation. To build concrete models with high compactness , for example, with 40–60% contents of aggregates, the Bullet physics engine, based on a hard-contact discrete element method , is further applied to simulate the complicated compaction and vibration process in real casting procedures. The developed framework provides a promising basis for further mesoscale studies, such as 3D printing , multiscale homogenization , damage and fracture mechanisms , and environmental factors-induced degradation. • Build a shape library of realistic aggregates from micro XCT 3D image, with sufficient quantity for statistical convergence of shape indices. • Develop an efficient bin packing algorithm to generate mesoscale concrete structures under minimum height control. • Apply the “Bullet” physics engine to simulate complicated compaction and vibration processes for high fraction (60%) and uniformity of aggregates. • It is possible to fabricate a sufficient number of realistic concrete models using only one XCT 3D image, instead of a large number of XCT tests.. • Finite element models and 3D printed specimens can be directly built with high fidelity using the proposed method." @default.
• W3215719653 created "2021-12-06" @default.
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• W3215719653 date "2022-02-01" @default.
• W3215719653 modified "2023-10-15" @default.
• W3215719653 title "An efficient computational framework for generating realistic 3D mesoscale concrete models using micro X-ray computed tomography images and dynamic physics engine" @default.
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• W3215719653 doi "https://doi.org/10.1016/j.cemconcomp.2021.104347" @default.
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