دورية أكاديمية
A hybrid explicit implicit staggered grid finite-difference scheme for the first-order acoustic wave equation modeling
العنوان: | A hybrid explicit implicit staggered grid finite-difference scheme for the first-order acoustic wave equation modeling |
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المؤلفون: | Wenquan Liang, Yanfei Wang, Jingjie Cao, Ursula Iturrarán-Viveros |
المصدر: | Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022) |
بيانات النشر: | Nature Portfolio, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | Abstract Implicit staggered-grid finite-difference (SGFD) methods are widely used for the first-order acoustic wave-equation modeling. The identical implicit SGFD operator is commonly used for all of the first-order spatial derivatives in the first-order acoustic wave-equation. In this paper, we propose a hybrid explicit implicit SGFD (HEI-SGFD) scheme which could simultaneously preserve the wave-equation simulation accuracy and increase the wave-equation simulation speed. We use a second-order explicit SGFD operator for half of the first-order spatial derivatives in the first-order acoustic wave-equation. At the same time, we use the implicit SGFD operator with added points in the diagonal direction for the other first-order spatial derivatives in the first-order acoustic wave-equation. The proposed HEI-SGFD scheme nearly doubles the wave-equation simulation speed compared to the implicit SGFD schemes. In essence, the proposed HEI-SGFD scheme is equivalent to the second-order FD scheme with ordinary grid format. We then determine the HEI-SGFD coefficients in the time–space domain by minimizing the phase velocity error using the least-squares method. Finally, the effectiveness of the proposed method is demonstrated by dispersion analysis and numerical simulations. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-022-15112-x |
URL الوصول: | https://doaj.org/article/c28de98167e348ce864f9790173c176e |
رقم الأكسشن: | edsdoj.28de98167e348ce864f9790173c176e |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20452322 |
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DOI: | 10.1038/s41598-022-15112-x |