FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901929277> ?p ?o ?g. }

• W2901929277 endingPage "983" @default.
• W2901929277 startingPage "958" @default.
• W2901929277 abstract "Numerical modelling is a fundamental tool for scenario-based evaluation of hazardous phenomena such as tsunami. Nevertheless, the numerical prediction highly depends on the tool quality and therefore the design of efficient numerical schemes that provide robust and accurate solutions still receives considerable attention. In this paper, we implement two different second-order finite volume numerical schemes deriving from an a priori or an a posteriori limitation procedure and we compare their efficiency in solving the non-conservative shallow-water equations. The numerical schemes assessed here are two variants of the a priori Monotonic Upstream-Centred Scheme for Conservation Laws (MUSCL) and the recent a posteriori multidimensional optimal order detection (MOOD) technique. We benchmark the numerical code, equipped with MUSCL and MOOD techniques, against: (1) a 1-D stationary problem with non-constant bathymetry to assess the second-order convergence of the method when a smooth analytical solution is involved; (2) a 1-D dam-break test to show its capacity to deal with irregular and discontinuous bathymetry in wet zones; and (3) using a simple 1-D analytical tsunami benchmark, ‘single wave on a sloping beach’, we show that the classical 1-D shallow-water system can be accurately solved by the second-order finite volume methods. Furthermore, we test the performance of the numerical code for the real-case tsunami of Tohoku-Oki, 2011. Through a set of 2-D numerical simulations, the 2011 tsunami records from both DART and GPS buoys are checked against the simulated results using MUSCL and MOOD. We find that the use of the MOOD technique leads to a better approximation between the numerical solutions and the observations than the MUSCL one. MOOD allows sharper shock capture and generates less numerical diffusion, suggesting it as a promising technique for solving shallow-water problems." @default.
• W2901929277 created "2018-11-29" @default.
• W2901929277 creator A5014615542 @default.
• W2901929277 creator A5030885200 @default.
• W2901929277 creator A5045374056 @default.
• W2901929277 creator A5046855415 @default.
• W2901929277 creator A5073912611 @default.
• W2901929277 creator A5083283973 @default.
• W2901929277 date "2018-11-16" @default.
• W2901929277 modified "2023-09-27" @default.
• W2901929277 title "Comparison between MUSCL and MOOD techniques in a finite volume well-balanced code to solve SWE. The Tohoku-Oki, 2011 example" @default.
• W2901929277 cites W1555627060 @default.
• W2901929277 cites W1665139949 @default.
• W2901929277 cites W1773658156 @default.
• W2901929277 cites W1853621195 @default.
• W2901929277 cites W1854531977 @default.
• W2901929277 cites W1864465221 @default.
• W2901929277 cites W1914114573 @default.
• W2901929277 cites W1969760987 @default.
• W2901929277 cites W1977110629 @default.
• W2901929277 cites W1977408124 @default.
• W2901929277 cites W2017274089 @default.
• W2901929277 cites W2017611649 @default.
• W2901929277 cites W2019675561 @default.
• W2901929277 cites W2021574151 @default.
• W2901929277 cites W2040197273 @default.
• W2901929277 cites W2045177090 @default.
• W2901929277 cites W2051038760 @default.
• W2901929277 cites W2052013627 @default.
• W2901929277 cites W2054362047 @default.
• W2901929277 cites W2057288458 @default.
• W2901929277 cites W2061309099 @default.
• W2901929277 cites W2081211815 @default.
• W2901929277 cites W2082136389 @default.
• W2901929277 cites W2083659289 @default.
• W2901929277 cites W2086540501 @default.
• W2901929277 cites W2088047272 @default.
• W2901929277 cites W2088224969 @default.
• W2901929277 cites W2088385269 @default.
• W2901929277 cites W2093498753 @default.
• W2901929277 cites W2094388431 @default.
• W2901929277 cites W2098292714 @default.
• W2901929277 cites W2104731056 @default.
• W2901929277 cites W2106839265 @default.
• W2901929277 cites W2108120277 @default.
• W2901929277 cites W2110400782 @default.
• W2901929277 cites W2124799255 @default.
• W2901929277 cites W2126171617 @default.
• W2901929277 cites W2131592052 @default.
• W2901929277 cites W2159154457 @default.
• W2901929277 cites W2170002000 @default.
• W2901929277 cites W2469972136 @default.
• W2901929277 cites W2486793582 @default.
• W2901929277 cites W2511863995 @default.
• W2901929277 cites W2516877693 @default.
• W2901929277 cites W2528292784 @default.
• W2901929277 cites W2554366247 @default.
• W2901929277 cites W2669480590 @default.
• W2901929277 cites W4239134999 @default.
• W2901929277 cites W4250741917 @default.
• W2901929277 doi "https://doi.org/10.1093/gji/ggy472" @default.
• W2901929277 hasPublicationYear "2018" @default.
• W2901929277 type Work @default.
• W2901929277 sameAs 2901929277 @default.
• W2901929277 citedByCount "7" @default.
• W2901929277 countsByYear W29019292772019 @default.
• W2901929277 countsByYear W29019292772020 @default.
• W2901929277 countsByYear W29019292772021 @default.
• W2901929277 crossrefType "journal-article" @default.
• W2901929277 hasAuthorship W2901929277A5014615542 @default.
• W2901929277 hasAuthorship W2901929277A5030885200 @default.
• W2901929277 hasAuthorship W2901929277A5045374056 @default.
• W2901929277 hasAuthorship W2901929277A5046855415 @default.
• W2901929277 hasAuthorship W2901929277A5073912611 @default.
• W2901929277 hasAuthorship W2901929277A5083283973 @default.
• W2901929277 hasConcept C111368507 @default.
• W2901929277 hasConcept C111472728 @default.
• W2901929277 hasConcept C11413529 @default.
• W2901929277 hasConcept C121332964 @default.
• W2901929277 hasConcept C126255220 @default.
• W2901929277 hasConcept C127313418 @default.
• W2901929277 hasConcept C13280743 @default.
• W2901929277 hasConcept C134306372 @default.
• W2901929277 hasConcept C138885662 @default.
• W2901929277 hasConcept C140295346 @default.
• W2901929277 hasConcept C174943157 @default.
• W2901929277 hasConcept C185798385 @default.
• W2901929277 hasConcept C28826006 @default.
• W2901929277 hasConcept C33923547 @default.
• W2901929277 hasConcept C41008148 @default.
• W2901929277 hasConcept C44154836 @default.
• W2901929277 hasConcept C48753275 @default.
• W2901929277 hasConcept C500300565 @default.
• W2901929277 hasConcept C50478463 @default.
• W2901929277 hasConcept C57879066 @default.
• W2901929277 hasConcept C72169020 @default.
• W2901929277 hasConcept C75553542 @default.
• W2901929277 hasConceptScore W2901929277C111368507 @default.

• next