Mesoscopic modeling method of concrete based on statistical analysis of CT images
By Tiejun Liu, S. Qin, D. Zou, Wen Song, J. Teng. Construction and Building Materials, 2018
75 citations recorded by the source corpus.
Abstract Few efforts have been made to study actual coarse aggregate shapes in mesoscopic simulation analysis, whereas it has a significant impact on stress distribution and micro-crack propagation during the failure process of concrete. In this study, the true characteristics of aggregates (i.e. edge number, area, equivalent radius, elongation ratio and size distribution) were statistically analyzed by processing the real 2D slice images of concrete obtained from X-ray computed tomography technology. A polygon random aggregate modeling method, considering above statistical features of aggregate, is proposed and verified by an experimental investigation. The test results show that the established model can give an accurate description of the stress-strain behavior and damage evolution of concrete. Moreover, several representative meso-scale concrete models were established, which provides a reference in building meso-scale models with various sizes and cross-sectional shapes, especially for large-scale concrete members that are unable to undergo CT testing due to limitation of operational space.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/7c7226ec525c90d98afcf6bab1ad5be81a00f6fc
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In Civil and Structural Engineering
In Mechanics of Materials
Citations in the corpus
- Meso-scale modelling of compressive fracture in concrete with irregularly shaped aggregates (2021, methodology): “3 time-consuming and computationally expensive method and is highly dependent on image resolution [26-32].”