A High-Precision Method for Determining Elastic Parameters in Hard Rock Using Cellular Automata and Simulated Annealing Particle Swarm Optimization
文献类型：期刊论文
| 作者 | Zhao, Xiaoxun5; Pan, Peng-Zhi4,6; Wang, Zhaofeng4,6; Wang, Wei5; Hekmatnejad, Amin3; Chi, Fudong2; Li, Fengqiong1 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED MECHANICS
 |
| 出版日期 | 2025-04-01 |
| 卷号 | 17期号:04页码:28 |
| 关键词 | Digital image correlation cellular automata simulated annealing particle swam optimization eccentric loading elastic properties |
| ISSN号 | 1758-8251 |
| DOI | 10.1142/S1758825125500188 |
| 英文摘要 | The accurate determination of deformation characteristics in hard rock is crucial for mechanism analysis and disaster prevention. This study introduces an innovative method that integrates Cellular Automata (CA) and Simulated Annealing Particle Swarm Optimization (SA-PSO) to determine elastic properties. Unlike previous approaches, this method also combines numerical inversion with Digital Speckle Correlation Method (DSCM) to enhance accuracy. Additionally, a modified SA-PSO inversion optimization algorithm is developed to overcome the limitation of the conventional particle swarm optimization algorithm, which tends to converge to local extremum. The proposed method is validated through a comprehensive analysis of red sandstone tests featuring D-shaped holes. Results demonstrate that the proposed method achieves the global optimum in several steps, even for inversions involving multiple points for different times, thereby ensuring high accuracy. A comparison between the inversion and experimental results reveals excellent agreement in the elastic mechanical parameters. Furthermore, the influence of eccentric loading on the test results is considered, demonstrating that accounting for eccentric loading improves the consistency between the inversion and experimental results. Overall, this paper presents a high-precision method for determining elastic parameters, offering valuable guidance for indoor experiments and engineering sites that entail limited measurement points and challenging conditions. |
| 资助项目 | National Natural Science Foundation of China[52339001] ; National Natural Science Foundation of China[52209149] ; Research on the Key Technologies for Safety and Environmental Protection of High Face Dam under Complex Geological Conditions[HNKJ22-H107] |
| WOS研究方向 | Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:001477418900001 |
| 出版者 | WORLD SCIENTIFIC PUBL CO PTE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/35953]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Pan, Peng-Zhi; Wang, Zhaofeng |
| 作者单位 | 1.Power China Kunming Engn Corp Ltd, Kunming 650000, Peoples R China 2.Lancang River Clean Energy Secur Green Intelligent, Lasa 850008, Peoples R China 3.Pontificia Univ Chile, Escuela Ingn, Dept Ingn mineria, Santiago, Chile 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Henan Univ, Sch Civil Engn & Architecture, Kaifeng 475004, Peoples R China 6.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Xiaoxun,Pan, Peng-Zhi,Wang, Zhaofeng,et al. A High-Precision Method for Determining Elastic Parameters in Hard Rock Using Cellular Automata and Simulated Annealing Particle Swarm Optimization[J]. INTERNATIONAL JOURNAL OF APPLIED MECHANICS,2025,17(04):28. |
| APA | Zhao, Xiaoxun.,Pan, Peng-Zhi.,Wang, Zhaofeng.,Wang, Wei.,Hekmatnejad, Amin.,...&Li, Fengqiong.(2025).A High-Precision Method for Determining Elastic Parameters in Hard Rock Using Cellular Automata and Simulated Annealing Particle Swarm Optimization.INTERNATIONAL JOURNAL OF APPLIED MECHANICS,17(04),28. |
| MLA | Zhao, Xiaoxun,et al."A High-Precision Method for Determining Elastic Parameters in Hard Rock Using Cellular Automata and Simulated Annealing Particle Swarm Optimization".INTERNATIONAL JOURNAL OF APPLIED MECHANICS 17.04(2025):28. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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