A Two‐Dimensional Non‐Conforming Multidomain FDM/PSM Hybrid Method for Elastic Wave Simulation Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1029/2024jb030912
Efficient elastic wave numerical simulation is crucial for ground motion and waveform inversion studies. However, using uniform grids in simulations for models with strong velocity contrast interfaces, thin layers, or ring shapes often leads to spatial oversampling, wasting computational resources and reducing efficiency. To address this challenge, we propose a two‐dimensional non‐conforming multidomain FDM/PSM hybrid approach. This method divides the computational domain into independent subdomains along a specified direction, with overlaps occurring only at the edges. Within each subdomain, a Chebyshev pseudospectral scheme is applied in one direction, while a high‐order finite‐difference scheme is used in the other. Grid generation for each subdomain is customized based solely on its shape and velocity, without reference to neighboring subdomains. As a result, this non‐conforming method allows the grid points on either side of the subdomain interface to remain unaligned. We use Lagrange polynomial interpolation and characteristic boundary conditions to handle non‐conforming interfaces. This non‐conforming method allows for a direct transition from fine to coarse grid regions, even when the fine grid spacing is one‐tenth or one‐hundredth of that of the coarse grid. For problems involving strong velocity contrast interfaces and geometrically thin layers, the scheme reduces computational costs in terms of both memory and runtime requirements. Through five numerical experiments, we have confirmed the method's accuracy and efficiency, demonstrating its broad potential for application in seismology and exploration geophysics.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2024jb030912
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2024JB030912
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https://openalex.org/W4410709026Canonical identifier for this work in OpenAlex
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https://doi.org/10.1029/2024jb030912Digital Object Identifier
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A Two‐Dimensional Non‐Conforming Multidomain FDM/PSM Hybrid Method for Elastic Wave SimulationWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-05-01Full publication date if available
- Authors
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Wenliang Sun, Wei ZhangList of authors in order
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https://doi.org/10.1029/2024jb030912Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2024JB030912Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2024JB030912Direct OA link when available
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Materials science, Computer science, Mechanics, Composite material, PhysicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.conditions | 146 |
| abstract_inverted_index.customized | 105 |
| abstract_inverted_index.direction, | 69, 88 |
| abstract_inverted_index.generation | 100 |
| abstract_inverted_index.interfaces | 187 |
| abstract_inverted_index.polynomial | 141 |
| abstract_inverted_index.seismology | 224 |
| abstract_inverted_index.simulation | 5 |
| abstract_inverted_index.subdomain, | 79 |
| abstract_inverted_index.subdomains | 65 |
| abstract_inverted_index.transition | 158 |
| abstract_inverted_index.unaligned. | 137 |
| abstract_inverted_index.application | 222 |
| abstract_inverted_index.efficiency, | 216 |
| abstract_inverted_index.efficiency. | 43 |
| abstract_inverted_index.exploration | 226 |
| abstract_inverted_index.geophysics. | 227 |
| abstract_inverted_index.independent | 64 |
| abstract_inverted_index.interfaces, | 27 |
| abstract_inverted_index.interfaces. | 150 |
| abstract_inverted_index.multidomain | 53 |
| abstract_inverted_index.neighboring | 116 |
| abstract_inverted_index.one‐tenth | 172 |
| abstract_inverted_index.simulations | 20 |
| abstract_inverted_index.subdomains. | 117 |
| abstract_inverted_index.experiments, | 208 |
| abstract_inverted_index.high‐order | 91 |
| abstract_inverted_index.computational | 39, 61, 195 |
| abstract_inverted_index.demonstrating | 217 |
| abstract_inverted_index.geometrically | 189 |
| abstract_inverted_index.interpolation | 142 |
| abstract_inverted_index.oversampling, | 37 |
| abstract_inverted_index.requirements. | 204 |
| abstract_inverted_index.characteristic | 144 |
| abstract_inverted_index.pseudospectral | 82 |
| abstract_inverted_index.one‐hundredth | 174 |
| abstract_inverted_index.non‐conforming | 52, 122, 149, 152 |
| abstract_inverted_index.two‐dimensional | 51 |
| abstract_inverted_index.finite‐difference | 92 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.22212914 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |