An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length
Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Min [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Visual computing for industry, biomedicine, and art - Singapore : Springer Singapore, 2018, 6(2023), 1 vom: 03. Jan. |
|---|---|
| Übergeordnetes Werk: |
volume:6 ; year:2023 ; number:1 ; day:03 ; month:01 |
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| DOI / URN: |
10.1186/s42492-022-00128-x |
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SPR048969680 |
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| 520 | |a Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. | ||
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| 700 | 1 | |a Meng, Weiliang |4 aut | |
| 700 | 1 | |a Zhu, Jian |4 aut | |
| 700 | 1 | |a Zhang, Gary |4 aut | |
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10.1186/s42492-022-00128-x doi (DE-627)SPR048969680 (SPR)s42492-022-00128-x-e DE-627 ger DE-627 rakwb eng Li, Min verfasserin aut An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. Smoothed particle hydrodynamics (dpeaa)DE-He213 Variable smooth length (dpeaa)DE-He213 Fluid simulation (dpeaa)DE-He213 Li, Hongshu (orcid)0000-0002-5359-6771 aut Meng, Weiliang aut Zhu, Jian aut Zhang, Gary aut Enthalten in Visual computing for industry, biomedicine, and art Singapore : Springer Singapore, 2018 6(2023), 1 vom: 03. Jan. (DE-627)1035895897 (DE-600)2946724-X 2524-4442 nnns volume:6 year:2023 number:1 day:03 month:01 https://dx.doi.org/10.1186/s42492-022-00128-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2055 AR 6 2023 1 03 01 |
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10.1186/s42492-022-00128-x doi (DE-627)SPR048969680 (SPR)s42492-022-00128-x-e DE-627 ger DE-627 rakwb eng Li, Min verfasserin aut An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. Smoothed particle hydrodynamics (dpeaa)DE-He213 Variable smooth length (dpeaa)DE-He213 Fluid simulation (dpeaa)DE-He213 Li, Hongshu (orcid)0000-0002-5359-6771 aut Meng, Weiliang aut Zhu, Jian aut Zhang, Gary aut Enthalten in Visual computing for industry, biomedicine, and art Singapore : Springer Singapore, 2018 6(2023), 1 vom: 03. Jan. (DE-627)1035895897 (DE-600)2946724-X 2524-4442 nnns volume:6 year:2023 number:1 day:03 month:01 https://dx.doi.org/10.1186/s42492-022-00128-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2055 AR 6 2023 1 03 01 |
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10.1186/s42492-022-00128-x doi (DE-627)SPR048969680 (SPR)s42492-022-00128-x-e DE-627 ger DE-627 rakwb eng Li, Min verfasserin aut An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. Smoothed particle hydrodynamics (dpeaa)DE-He213 Variable smooth length (dpeaa)DE-He213 Fluid simulation (dpeaa)DE-He213 Li, Hongshu (orcid)0000-0002-5359-6771 aut Meng, Weiliang aut Zhu, Jian aut Zhang, Gary aut Enthalten in Visual computing for industry, biomedicine, and art Singapore : Springer Singapore, 2018 6(2023), 1 vom: 03. Jan. (DE-627)1035895897 (DE-600)2946724-X 2524-4442 nnns volume:6 year:2023 number:1 day:03 month:01 https://dx.doi.org/10.1186/s42492-022-00128-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2055 AR 6 2023 1 03 01 |
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10.1186/s42492-022-00128-x doi (DE-627)SPR048969680 (SPR)s42492-022-00128-x-e DE-627 ger DE-627 rakwb eng Li, Min verfasserin aut An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. Smoothed particle hydrodynamics (dpeaa)DE-He213 Variable smooth length (dpeaa)DE-He213 Fluid simulation (dpeaa)DE-He213 Li, Hongshu (orcid)0000-0002-5359-6771 aut Meng, Weiliang aut Zhu, Jian aut Zhang, Gary aut Enthalten in Visual computing for industry, biomedicine, and art Singapore : Springer Singapore, 2018 6(2023), 1 vom: 03. Jan. (DE-627)1035895897 (DE-600)2946724-X 2524-4442 nnns volume:6 year:2023 number:1 day:03 month:01 https://dx.doi.org/10.1186/s42492-022-00128-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2055 AR 6 2023 1 03 01 |
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10.1186/s42492-022-00128-x doi (DE-627)SPR048969680 (SPR)s42492-022-00128-x-e DE-627 ger DE-627 rakwb eng Li, Min verfasserin aut An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. Smoothed particle hydrodynamics (dpeaa)DE-He213 Variable smooth length (dpeaa)DE-He213 Fluid simulation (dpeaa)DE-He213 Li, Hongshu (orcid)0000-0002-5359-6771 aut Meng, Weiliang aut Zhu, Jian aut Zhang, Gary aut Enthalten in Visual computing for industry, biomedicine, and art Singapore : Springer Singapore, 2018 6(2023), 1 vom: 03. Jan. (DE-627)1035895897 (DE-600)2946724-X 2524-4442 nnns volume:6 year:2023 number:1 day:03 month:01 https://dx.doi.org/10.1186/s42492-022-00128-x kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_2055 AR 6 2023 1 03 01 |
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Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. © The Author(s) 2023 |
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Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. © The Author(s) 2023 |
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Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency. © The Author(s) 2023 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR048969680</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230510055854.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230104s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s42492-022-00128-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR048969680</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42492-022-00128-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Min</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="3"><subfield code="a">An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid regions such as splashes and surfaces. Attempts to address this problem used variable smoothing lengths. Yet the existing methods are computationally complex and non-efficient, because the smoothing length is typically calculated using iterative optimization. Here, we propose an efficient non-iterative SPH fluid simulation method with variable smoothing length (VSLSPH). VSLSPH correlates the smoothing length to the density change, and adaptively adjusts the smoothing length of particles with high accuracy and low computational cost, enabling large time steps. Our experimental results demonstrate the advantages of the VSLSPH approach in terms of its simulation accuracy and efficiency.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Smoothed particle hydrodynamics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Variable smooth length</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fluid simulation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Hongshu</subfield><subfield code="0">(orcid)0000-0002-5359-6771</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Meng, Weiliang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhu, Jian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Gary</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Visual computing for industry, biomedicine, and art</subfield><subfield code="d">Singapore : Springer Singapore, 2018</subfield><subfield code="g">6(2023), 1 vom: 03. Jan.</subfield><subfield code="w">(DE-627)1035895897</subfield><subfield code="w">(DE-600)2946724-X</subfield><subfield code="x">2524-4442</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">day:03</subfield><subfield code="g">month:01</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s42492-022-00128-x</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="b">03</subfield><subfield code="c">01</subfield></datafield></record></collection>
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