Study on Optimal Gradation and Breakage Behavior Prediction Model for Granite Particles Considering Fragmentation

DOI

10.2991/978-94-6463-902-5_10How to use a DOI?

Keywords

gravel; compaction; fractal theory; gradation; breakage

Abstract

The instability in compressive strength caused by variations in raw material gradation has emerged as a pressing challenge in dry-mixed concrete brick manufacturing. To achieve stable and enhanced compressive strength, this study focuses on granite aggregates used in dry-mixed concrete. Leveraging fractal theory and utilizing compaction degree as the indicator for compressive strength, we investigated the relationship between compaction degree and aggregate gradation. This led to the identification of an optimal gradation range corresponding to the peak compaction degree. Furthermore, an efficient empirical model incorporating only a single key parameter is proposed. This model facilitates the selection of optimal compaction pressure or recommended blending ratios for multiple aggregate types, thereby improving production stability. The gradation-compaction data were fitted using the least squares method, Fourier fitting, and fifth-order polynomial regression, from which the best-fit curve and corresponding optimal initial gradation were determined. The results demonstrate that aggregates exhibit superior load-bearing capacity and compressive performance when the fractal dimension ranges between 2.45 and 2.6. The proposed empirical model effectively captures the gradation evolution of aggregates under varying compressive stresses, enabling the prediction of gradation changes post-compaction. This provides a theoretical foundation for optimizing industrial production processes. The fifth-order polynomial fitting consistently met all criteria with high correlation coefficients, thereby establishing a quantifiable model for the gradation-compaction relationship.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ying Zhang
AU  - Ruiliang Lian
AU  - Shumei Chen
AU  - Wenmin Lu
AU  - Guoqiang Xu
AU  - Xiang Xu
PY  - 2025
DA  - 2025/12/16
TI  - Study on Optimal Gradation and Breakage Behavior Prediction Model for Granite Particles Considering Fragmentation
BT  - Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
PB  - Atlantis Press
SP  - 91
EP  - 104
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-902-5_10
DO  - 10.2991/978-94-6463-902-5_10
ID  - Zhang2025
ER  -