Implicit time advancing combined with two finite-volume methods in the simulation of morphodynamic flows
Numerical simulation of morphodynamic problems is considered. The physical model is based on the shallow-water equations coupled with the Exner equation closed by the Grass model to describe the time evolution of the bed profile. The SRNH predictor–corrector scheme and a modified Roe scheme for non-...
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Veröffentlicht in: | Mathematics and computers in simulation 2014-05, Vol.99, p.153-169 |
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description | Numerical simulation of morphodynamic problems is considered. The physical model is based on the shallow-water equations coupled with the Exner equation closed by the Grass model to describe the time evolution of the bed profile. The SRNH predictor–corrector scheme and a modified Roe scheme for non-conservative systems of equations are considered for space discretization. Second-order accuracy in space is achieved through variable reconstruction. These schemes were previously used in the simulation of the considered problems together with explicit time advancing. Linearized implicit time-advancing versions are generated here, in which the flux Jacobians are computed through automatic differentiation. Second-order accuracy in time is obtained through a backward differentiation formula associated with a defect-correction approach. For both the considered numerical methods, the explicit and implicit versions are compared in terms of accuracy and efficiency for one-dimensional and two-dimensional morphodynamic problems characterized by different time scales for the evolution of the bed and of the water flow. |
doi_str_mv | 10.1016/j.matcom.2013.07.002 |
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The physical model is based on the shallow-water equations coupled with the Exner equation closed by the Grass model to describe the time evolution of the bed profile. The SRNH predictor–corrector scheme and a modified Roe scheme for non-conservative systems of equations are considered for space discretization. Second-order accuracy in space is achieved through variable reconstruction. These schemes were previously used in the simulation of the considered problems together with explicit time advancing. Linearized implicit time-advancing versions are generated here, in which the flux Jacobians are computed through automatic differentiation. Second-order accuracy in time is obtained through a backward differentiation formula associated with a defect-correction approach. For both the considered numerical methods, the explicit and implicit versions are compared in terms of accuracy and efficiency for one-dimensional and two-dimensional morphodynamic problems characterized by different time scales for the evolution of the bed and of the water flow.</description><identifier>ISSN: 0378-4754</identifier><identifier>EISSN: 1872-7166</identifier><identifier>DOI: 10.1016/j.matcom.2013.07.002</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Computational Physics ; Defect correction ; Engineering Sciences ; Exner equation ; Finite-volume schemes ; Fluid mechanics ; Fluids mechanics ; Implicit time advancing ; Mathematical Physics ; Mathematics ; Mechanics ; Morphodynamic flows ; Numerical Analysis ; Physics ; Shallow water</subject><ispartof>Mathematics and computers in simulation, 2014-05, Vol.99, p.153-169</ispartof><rights>2013 IMACS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-ee9c95938dc959fb0698218c9fbfd3f9316448abeedbcb5bc0ad621b16c917453</citedby><cites>FETCH-LOGICAL-c340t-ee9c95938dc959fb0698218c9fbfd3f9316448abeedbcb5bc0ad621b16c917453</cites><orcidid>0000-0003-3099-4408</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0378475413002024$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://inria.hal.science/hal-00871717$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Bilanceri, M.</creatorcontrib><creatorcontrib>Beux, F.</creatorcontrib><creatorcontrib>Elmahi, I.</creatorcontrib><creatorcontrib>Guillard, H.</creatorcontrib><creatorcontrib>Salvetti, M.V.</creatorcontrib><title>Implicit time advancing combined with two finite-volume methods in the simulation of morphodynamic flows</title><title>Mathematics and computers in simulation</title><description>Numerical simulation of morphodynamic problems is considered. The physical model is based on the shallow-water equations coupled with the Exner equation closed by the Grass model to describe the time evolution of the bed profile. The SRNH predictor–corrector scheme and a modified Roe scheme for non-conservative systems of equations are considered for space discretization. Second-order accuracy in space is achieved through variable reconstruction. These schemes were previously used in the simulation of the considered problems together with explicit time advancing. Linearized implicit time-advancing versions are generated here, in which the flux Jacobians are computed through automatic differentiation. Second-order accuracy in time is obtained through a backward differentiation formula associated with a defect-correction approach. 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The physical model is based on the shallow-water equations coupled with the Exner equation closed by the Grass model to describe the time evolution of the bed profile. The SRNH predictor–corrector scheme and a modified Roe scheme for non-conservative systems of equations are considered for space discretization. Second-order accuracy in space is achieved through variable reconstruction. These schemes were previously used in the simulation of the considered problems together with explicit time advancing. Linearized implicit time-advancing versions are generated here, in which the flux Jacobians are computed through automatic differentiation. Second-order accuracy in time is obtained through a backward differentiation formula associated with a defect-correction approach. 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subjects | Computational Physics Defect correction Engineering Sciences Exner equation Finite-volume schemes Fluid mechanics Fluids mechanics Implicit time advancing Mathematical Physics Mathematics Mechanics Morphodynamic flows Numerical Analysis Physics Shallow water |
title | Implicit time advancing combined with two finite-volume methods in the simulation of morphodynamic flows |
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