- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | YIN Haipeng, LI Youtang, HUANG Hua. Modeling and Evaluation of Aggregate Based on Influence of Geometry Morphology[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1184-1192. doi: 10.3969/j.issn.0258-2724.20210770
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The popular digital aggregate modeling technology has low efficiency and quality, with the parameters uncontrollable and not involving the shape, edges, texture and other geometric morphological parameters of the aggregate. Thus it is difficult to effectively study the effects of geometric-morphology parameters on the comprehensive performance of particle composites at a micro level. In view of this shortcoming, firstly, the evaluation method of the geometric morphology characteristics of a single aggregate is explored and a mathematical method is presented to evaluate the micro-texture of the aggregate surface, as well as the aggregate system. Secondly, with 3D Max, a novel digital model design method for a single aggregate is proposed to create a digital model with irregular shapes, disordered edges and corners, and fine surface textures. Finally, the particle-replacement method is used to create a digital model of particle composites with PFC 3D. Then the porosity difference between the physical and the digital models is analyzed and the method to solve the porosity difference is provided. On this basis, the influence of aggregate geometry on the peak compressive strength of particle composites is studied through uniaxial compression experiments. The results show that, 1) the mathematical evaluation method of aggregate texture can quantify the microstructure of the aggregate, and the mathematical model of aggregate system evaluation expands the geometric morphology evaluation indexes of the aggregate; 2) there is a big difference in the porosity between the physical and digital models of particle composites; 3) the geometric characteristics of the aggregate can improve the occlusal interlocking effect between aggregates, and the replacement of spherical particles with particle size ≥ 2.36 mm by irregular particles can increase the peak compressive strength of the composite by 20.7%.
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