Reconstruction of 2D Microstructures of Rock Using the Improved Simulated Annealing Algorithm
Pores, voids and cracks widely exist in rock materials, and the microstructural characteristics of rock are key to understanding its macroscopic behaviour because they strongly influence its mechanical behaviour in rock mass engineering. Owing to the importance of pores, voids and cracks to rock mechanical behaviour, studying the reconstruction of 2D microstructures can provide a basis for numerical simulation and engineering practice. The objective of this paper is to reconstruct the 2D microstructure, and a novel method for reconstructing the 2D microstructure is proposed. To reconstruct the 2D microstructure, an improved simulated annealing algorithm was used, and concurrent programming techniques were combined to fully utilize the computer resources. Moreover, to increase the convergence speed, a new technique that was efficient, accurate, and beneficial was proposed for reconstructing 2D microstructures. Through the simulation, the optimal number of neighbouring reverse pixels nreverse = 3 was determined and recommended. In this paper, a new approach for reconstructing 2D microstructures by using a raw sample is proposed. Moreover, 2D reconstruction was performed using both the improved simulated annealing (SA) algorithm and the conventional SA algorithm. The results show that the improved SA requires fewer iterations. This study provides a numerical basis for numerical simulation and engineering practice.
Authors
- Pingyang Fan
- Wenhao Zhao (ORCID: https://orcid.org/0000-0002-8707-8550)
- 邱传坤
- Xianghui Xiao
- Yunchi Zhu
- Min Wang (ORCID: https://orcid.org/0000-0002-4282-9963)
- Guangxu Jiang
Institutions
- Hunan University of Science and Technology (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2026-05-28
- DOI
- https://doi.org/10.3390/app16115397
- Primary Topic
- Rock Mechanics and Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Hunan Province