A High-Efficiency Spectral Method for Two-Dimensional Ocean Acoustic Propagation Calculations
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| Publicado en: | Entropy vol. 23, no. 9 (2021), p. 1227 |
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| Autor principal: | |
| Otros Autores: | , , |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 2576407500 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1099-4300 | ||
| 024 | 7 | |a 10.3390/e23091227 |2 doi | |
| 035 | |a 2576407500 | ||
| 045 | 2 | |b d20210101 |b d20211231 | |
| 084 | |a 231460 |2 nlm | ||
| 100 | 1 | |a Ma, Xian | |
| 245 | 1 | |a A High-Efficiency Spectral Method for Two-Dimensional Ocean Acoustic Propagation Calculations | |
| 260 | |b MDPI AG |c 2021 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The accuracy and efficiency of sound field calculations highly concern issues of hydroacoustics. Recently, one-dimensional spectral methods have shown high-precision characteristics when solving the sound field but can solve only simplified models of underwater acoustic propagation, thus their application range is small. Therefore, it is necessary to directly calculate the two-dimensional Helmholtz equation of ocean acoustic propagation. Here, we use the Chebyshev–Galerkin and Chebyshev collocation methods to solve the two-dimensional Helmholtz model equation. Then, the Chebyshev collocation method is used to model ocean acoustic propagation because, unlike the Galerkin method, the collocation method does not need stringent boundary conditions. Compared with the mature Kraken program, the Chebyshev collocation method exhibits a higher numerical accuracy. However, the shortcoming of the collocation method is that the computational efficiency cannot satisfy the requirements of real-time applications due to the large number of calculations. Then, we implemented the parallel code of the collocation method, which could effectively improve calculation effectiveness. | |
| 653 | |a Accuracy | ||
| 653 | |a Propagation | ||
| 653 | |a Acoustic propagation | ||
| 653 | |a Sound fields | ||
| 653 | |a Sound propagation | ||
| 653 | |a Partial differential equations | ||
| 653 | |a Helmholtz equations | ||
| 653 | |a Optimization | ||
| 653 | |a Collocation methods | ||
| 653 | |a Chebyshev approximation | ||
| 653 | |a Boundary conditions | ||
| 653 | |a Methods | ||
| 653 | |a Polynomials | ||
| 653 | |a Underwater acoustics | ||
| 653 | |a Acoustics | ||
| 653 | |a Galerkin method | ||
| 653 | |a Two dimensional models | ||
| 653 | |a Spectral methods | ||
| 700 | 1 | |a Liu, Wei | |
| 700 | 1 | |a Xiao, Wenbin | |
| 700 | 1 | |a Lan, Qiang | |
| 773 | 0 | |t Entropy |g vol. 23, no. 9 (2021), p. 1227 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2576407500/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/2576407500/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2576407500/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |