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dc.contributor.authorRojas, Otilio
dc.contributor.authorOtero Calviño, Beatriz
dc.contributor.authorCastillo, José
dc.contributor.authorDay, Steven
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-01-10T19:08:04Z
dc.date.created2013-10-01
dc.date.issued2013-10-01
dc.identifier.citationRojas, O. [et al.]. Low dispersive modeling of Rayleigh waves on partly staggered grids. "Computational geosciences", 01 Octubre 2013, p. 1-17.
dc.identifier.issn1420-0597
dc.identifier.urihttp://hdl.handle.net/2117/21220
dc.description.abstractIn elastic media, finite-difference (FD) implementations of free-surface (FS) boundary conditions on partly staggered grid (PSG) use the highly dispersive vacuum formulation (VPSG). The FS boundary is embedded into a “vacuum” grid layer (null Lame’s constants and negligible density values) where the discretized equations of motion allow computing surface displacements. We place a new set of compound (stress-displacement) nodes along a planar FS and use unilateral mimetic FD discretization of the zero-traction conditions for displacement computation (MPSG). At interior nodes, MPSG reduces to standard VPSG methods and applies fourth-order centered FD along cell diagonals for staggered differentiation combined with nodal second-order FD in time. We perform a dispersion analysis of these methods on a Lamb’s problem and estimate dispersion curves from the phase difference of windowed numerical Rayleigh pulses at two FS receivers. For a given grid sampling criterion (e.g., six or ten nodes per reference S wavelength ¿ S), MPSG dispersion errors are only a quarter of the VPSG method. We also quantify root-mean-square (RMS) misfits of numerical time series relative to analytical waveforms. MPSG RMS misfits barely exceed 10 % when nine nodes sample the minimum S wavelength ¿SMIN in transit (along distances ~ 145 ¿SMIN ). In same tests, VPSG RMS misfits exceed 70 %. We additionally compare MPSG to a consistently fourth-order mimetic method designed on a standard staggered grid. The latter equates the former’s dispersion errors on grids twice denser and shows higher RMS precision only on grids with six or less nodes per ¿SMIN .
dc.format.extent17 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subject.lcshWave equation
dc.subject.lcshGeology--Statistical methods
dc.subject.otherStaggered grid
dc.subject.otherHigh-order modeling
dc.subject.otherFinite difference
dc.subject.otherWave equation
dc.titleLow dispersive modeling of Rayleigh waves on partly staggered grids
dc.typeArticle
dc.subject.lemacEquacions d'ona
dc.subject.lemacGeologia -- Mètodes estadístics
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1007/s10596-013-9380-0
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007/s10596-013-9380-0
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12959353
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorRojas, O.; Otero, B.; Castillo, J.; Day, S.
local.citation.publicationNameComputational geosciences
local.citation.startingPage1
local.citation.endingPage17


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