A Hybrid Dung Beetle Optimization Algorithm with Simulated Annealing for the Numerical Modeling of Asymmetric Wave Equations
文献类型：期刊论文
| 作者 | Wei, Xu-ruo1; Bai, Wen-lei2,3; Liu, Lu4; Li, You-ming2,3; Wang, Zhi-yang1 |
| 刊名 | APPLIED GEOPHYSICS
 |
| 出版日期 | 2023-12-14 |
| 页码 | 15 |
| ISSN号 | 1672-7975 |
| 关键词 | Finite-difference Asymmetric wave equation Numerical modeling DBO algorithm SA algorithm |
| DOI | 10.1007/s11770-024-1039-1 |
| 英文摘要 | In the generalized continuum mechanics (GCM) theory framework, asymmetric wave equations encompass the characteristic scale parameters of the medium, accounting for microstructure interactions. This study integrates two theoretical branches of the GCM, the modified couple stress theory (M-CST) and the one-parameter second-strain-gradient theory, to form a novel asymmetric wave equation in a unified framework. Numerical modeling of the asymmetric wave equation in a unified framework accurately describes subsurface structures with vital implications for subsequent seismic wave inversion and imaging endeavors. However, employing finite-difference (FD) methods for numerical modeling may introduce numerical dispersion, adversely affecting the accuracy of numerical modeling. The design of an optimal FD operator is crucial for enhancing the accuracy of numerical modeling and emphasizing the scale effects. Therefore, this study devises a hybrid scheme called the dung beetle optimization (DBO) algorithm with a simulated annealing (SA) algorithm, denoted as the SA-based hybrid DBO (SDBO) algorithm. An FD operator optimization method under the SDBO algorithm was developed and applied to the numerical modeling of asymmetric wave equations in a unified framework. Integrating the DBO and SA algorithms mitigates the risk of convergence to a local extreme. The numerical dispersion outcomes underscore that the proposed SDBO algorithm yields FD operators with precision errors constrained to 0.5 parts per thousand while encompassing a broader spectrum coverage. This result confirms the efficacy of the SDBO algorithm. Ultimately, the numerical modeling results demonstrate that the new FD method based on the SDBO algorithm effectively suppresses numerical dispersion and enhances the accuracy of elastic wave numerical modeling, thereby accentuating scale effects. This result is significant for extracting wavefield perturbations induced by complex microstructures in the medium and the analysis of scale effects. |
| WOS关键词 | GRID FINITE-DIFFERENCE |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:001129207700001 |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/111693]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Wang, Zhi-yang |
| 作者单位 | 1.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Aramco Asia, Aramco Res Ctr Beijing, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Xu-ruo,Bai, Wen-lei,Liu, Lu,et al. A Hybrid Dung Beetle Optimization Algorithm with Simulated Annealing for the Numerical Modeling of Asymmetric Wave Equations[J]. APPLIED GEOPHYSICS,2023:15. |
| APA | Wei, Xu-ruo,Bai, Wen-lei,Liu, Lu,Li, You-ming,&Wang, Zhi-yang.(2023).A Hybrid Dung Beetle Optimization Algorithm with Simulated Annealing for the Numerical Modeling of Asymmetric Wave Equations.APPLIED GEOPHYSICS,15. |
| MLA | Wei, Xu-ruo,et al."A Hybrid Dung Beetle Optimization Algorithm with Simulated Annealing for the Numerical Modeling of Asymmetric Wave Equations".APPLIED GEOPHYSICS (2023):15. |
入库方式： OAI收割
来源：地质与地球物理研究所
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