A Lagrangian particle model on GPU for contaminant transport in groundwater
To simulate contaminant transport in groundwater, this paper proposes a parallelized Lagrangian particle model using compute unified device architecture (CUDA) on graphics processing unit (GPU) based on smoothed particle hydrodynamics (SPH) method. The solved governing equation is the advection–diff...
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Veröffentlicht in: | Computational particle mechanics 2023-06, Vol.10 (3), p.587-601 |
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description | To simulate contaminant transport in groundwater, this paper proposes a parallelized Lagrangian particle model using compute unified device architecture (CUDA) on graphics processing unit (GPU) based on smoothed particle hydrodynamics (SPH) method. The solved governing equation is the advection–diffusion equations (ADEs) with retardation factor for given typical flow fields. To solve the inherent particle inconsistency problem of traditional SPH method, the corrective smoothed particle method (CSPM) is applied. The speedup ratio of the parallelized SPH solver for ADEs is analyzed. The consistency and convergence of the proposed model are theoretically analyzed and numerically tested. The reduction of its computational cost and storage requirement is discussed. Numerical examples including one-dimensional (1D) and two-dimensional (2D) cases are simulated, and the results are compared with the analytical solutions and those obtained by the high-resolution monotonic upstream schemes for conservation laws (MUSCL) scheme. To further verify the practicality of the model, two engineering cases of contaminant transport through soil into groundwater are investigated. It is shown that the solutions of the developed model are in good agreement with measured data. |
doi_str_mv | 10.1007/s40571-022-00495-5 |
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The solved governing equation is the advection–diffusion equations (ADEs) with retardation factor for given typical flow fields. To solve the inherent particle inconsistency problem of traditional SPH method, the corrective smoothed particle method (CSPM) is applied. The speedup ratio of the parallelized SPH solver for ADEs is analyzed. The consistency and convergence of the proposed model are theoretically analyzed and numerically tested. The reduction of its computational cost and storage requirement is discussed. Numerical examples including one-dimensional (1D) and two-dimensional (2D) cases are simulated, and the results are compared with the analytical solutions and those obtained by the high-resolution monotonic upstream schemes for conservation laws (MUSCL) scheme. To further verify the practicality of the model, two engineering cases of contaminant transport through soil into groundwater are investigated. It is shown that the solutions of the developed model are in good agreement with measured data.</description><identifier>ISSN: 2196-4378</identifier><identifier>EISSN: 2196-4386</identifier><identifier>DOI: 10.1007/s40571-022-00495-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Advection-diffusion equation ; Classical and Continuum Physics ; Computational Science and Engineering ; Computer architecture ; Conservation laws ; Contaminants ; Cost analysis ; Engineering ; Exact solutions ; Graphics processing units ; Groundwater ; Mathematical models ; Particle methods (mathematics) ; Pollution transport ; Smooth particle hydrodynamics ; Soil contamination ; Theoretical and Applied Mechanics</subject><ispartof>Computational particle mechanics, 2023-06, Vol.10 (3), p.587-601</ispartof><rights>The Author(s) under exclusive licence to OWZ 2022</rights><rights>The Author(s) under exclusive licence to OWZ 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-ed9b97d4b8c329d92c51dc80cc0dda1a15514bf930ba0ecf9b9c069345c72bb53</citedby><cites>FETCH-LOGICAL-c319t-ed9b97d4b8c329d92c51dc80cc0dda1a15514bf930ba0ecf9b9c069345c72bb53</cites><orcidid>0000-0003-0974-4607 ; 0000-0002-4767-2352</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40571-022-00495-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40571-022-00495-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Hou, Qingzhi</creatorcontrib><creatorcontrib>Miao, Chunfu</creatorcontrib><creatorcontrib>Chen, Shaokang</creatorcontrib><creatorcontrib>Sun, Zewei</creatorcontrib><creatorcontrib>Karemat, Alireza</creatorcontrib><title>A Lagrangian particle model on GPU for contaminant transport in groundwater</title><title>Computational particle mechanics</title><addtitle>Comp. Part. Mech</addtitle><description>To simulate contaminant transport in groundwater, this paper proposes a parallelized Lagrangian particle model using compute unified device architecture (CUDA) on graphics processing unit (GPU) based on smoothed particle hydrodynamics (SPH) method. The solved governing equation is the advection–diffusion equations (ADEs) with retardation factor for given typical flow fields. To solve the inherent particle inconsistency problem of traditional SPH method, the corrective smoothed particle method (CSPM) is applied. The speedup ratio of the parallelized SPH solver for ADEs is analyzed. The consistency and convergence of the proposed model are theoretically analyzed and numerically tested. The reduction of its computational cost and storage requirement is discussed. Numerical examples including one-dimensional (1D) and two-dimensional (2D) cases are simulated, and the results are compared with the analytical solutions and those obtained by the high-resolution monotonic upstream schemes for conservation laws (MUSCL) scheme. To further verify the practicality of the model, two engineering cases of contaminant transport through soil into groundwater are investigated. It is shown that the solutions of the developed model are in good agreement with measured data.</description><subject>Advection-diffusion equation</subject><subject>Classical and Continuum Physics</subject><subject>Computational Science and Engineering</subject><subject>Computer architecture</subject><subject>Conservation laws</subject><subject>Contaminants</subject><subject>Cost analysis</subject><subject>Engineering</subject><subject>Exact solutions</subject><subject>Graphics processing units</subject><subject>Groundwater</subject><subject>Mathematical models</subject><subject>Particle methods (mathematics)</subject><subject>Pollution transport</subject><subject>Smooth particle hydrodynamics</subject><subject>Soil contamination</subject><subject>Theoretical and Applied Mechanics</subject><issn>2196-4378</issn><issn>2196-4386</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLwzAYhoMoOOb-gKeA5-qXpFma4xg6xYEe3DmkSVo6tqQmKeK_t7OiN0_fe3je94MHoWsCtwRA3KUSuCAFUFoAlJIX_AzNKJHLomTV8vw3i-oSLVLaAwDhTMiKzdDzCm91G7VvO-1xr2PuzMHhY7DugIPHm9cdbkLEJvisj53XPuM84qkPMePO4zaGwdsPnV28QheNPiS3-LlztHu4f1s_FtuXzdN6tS0MIzIXzspaClvWlWFUWkkNJ9ZUYAxYq4kmnJOybiSDWoMzzUgbWEpWciNoXXM2RzfTbh_D--BSVvswRD--VLQCQkUlhRgpOlEmhpSia1Qfu6OOn4qAOnlTkzc1elPf3tRpmk2lNMK-dfFv-p_WF7pKcFY</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Hou, Qingzhi</creator><creator>Miao, Chunfu</creator><creator>Chen, Shaokang</creator><creator>Sun, Zewei</creator><creator>Karemat, Alireza</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-0974-4607</orcidid><orcidid>https://orcid.org/0000-0002-4767-2352</orcidid></search><sort><creationdate>20230601</creationdate><title>A Lagrangian particle model on GPU for contaminant transport in groundwater</title><author>Hou, Qingzhi ; Miao, Chunfu ; Chen, Shaokang ; Sun, Zewei ; Karemat, Alireza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-ed9b97d4b8c329d92c51dc80cc0dda1a15514bf930ba0ecf9b9c069345c72bb53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Advection-diffusion equation</topic><topic>Classical and Continuum Physics</topic><topic>Computational Science and Engineering</topic><topic>Computer architecture</topic><topic>Conservation laws</topic><topic>Contaminants</topic><topic>Cost analysis</topic><topic>Engineering</topic><topic>Exact solutions</topic><topic>Graphics processing units</topic><topic>Groundwater</topic><topic>Mathematical models</topic><topic>Particle methods (mathematics)</topic><topic>Pollution transport</topic><topic>Smooth particle hydrodynamics</topic><topic>Soil contamination</topic><topic>Theoretical and Applied Mechanics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hou, Qingzhi</creatorcontrib><creatorcontrib>Miao, Chunfu</creatorcontrib><creatorcontrib>Chen, Shaokang</creatorcontrib><creatorcontrib>Sun, Zewei</creatorcontrib><creatorcontrib>Karemat, Alireza</creatorcontrib><collection>CrossRef</collection><jtitle>Computational particle mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hou, Qingzhi</au><au>Miao, Chunfu</au><au>Chen, Shaokang</au><au>Sun, Zewei</au><au>Karemat, Alireza</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Lagrangian particle model on GPU for contaminant transport in groundwater</atitle><jtitle>Computational particle mechanics</jtitle><stitle>Comp. Part. Mech</stitle><date>2023-06-01</date><risdate>2023</risdate><volume>10</volume><issue>3</issue><spage>587</spage><epage>601</epage><pages>587-601</pages><issn>2196-4378</issn><eissn>2196-4386</eissn><abstract>To simulate contaminant transport in groundwater, this paper proposes a parallelized Lagrangian particle model using compute unified device architecture (CUDA) on graphics processing unit (GPU) based on smoothed particle hydrodynamics (SPH) method. The solved governing equation is the advection–diffusion equations (ADEs) with retardation factor for given typical flow fields. To solve the inherent particle inconsistency problem of traditional SPH method, the corrective smoothed particle method (CSPM) is applied. The speedup ratio of the parallelized SPH solver for ADEs is analyzed. The consistency and convergence of the proposed model are theoretically analyzed and numerically tested. The reduction of its computational cost and storage requirement is discussed. Numerical examples including one-dimensional (1D) and two-dimensional (2D) cases are simulated, and the results are compared with the analytical solutions and those obtained by the high-resolution monotonic upstream schemes for conservation laws (MUSCL) scheme. To further verify the practicality of the model, two engineering cases of contaminant transport through soil into groundwater are investigated. It is shown that the solutions of the developed model are in good agreement with measured data.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40571-022-00495-5</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-0974-4607</orcidid><orcidid>https://orcid.org/0000-0002-4767-2352</orcidid></addata></record> |
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subjects | Advection-diffusion equation Classical and Continuum Physics Computational Science and Engineering Computer architecture Conservation laws Contaminants Cost analysis Engineering Exact solutions Graphics processing units Groundwater Mathematical models Particle methods (mathematics) Pollution transport Smooth particle hydrodynamics Soil contamination Theoretical and Applied Mechanics |
title | A Lagrangian particle model on GPU for contaminant transport in groundwater |
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