Seismic sources are commonly idealized as point-sources due to their small spatial extent relative to seismic wavelengths. The acoustic isotropic point-radiator is inadequate as a model of seismic wave generation for seismic sources that are known to exhibit directivity. Therefore, accurate modeling of seismic wavefields must include source representations generating anisotropic radiation patterns. Such seismic sources can be modeled as multipoles, that is, a time-dependent linear combination of spatial derivatives of the spatial delta function. Since the solutions of linear hyperbolic systems with point-source right hand sides are necessarily singular, standard results on convergence of grid-based numerical methods (finite difference or finite element) do not imply convergence of numerical solutions. We present a method for discretizing multipole sources in a finite difference setting, an extension of the moment matching conditions developed for the Dirac delta function in other applications, along with numerical evidence demonstrating the accuracy of these approximations. Using this analysis, we develop a weak convergence theory for the discretization of a family of symmetric hyperbolic systems of first-order partial differential equations, with singular source terms, solved via staggered-grid finite difference methods: we show that grid-independent space-time averages of the numerical solutions converge to the same averages of the continuum solution, and provide an estimate for the error in terms of moment matching and truncation error conditions. Numerical experiments confirm this result, but also suggest a stronger one: optimal convergence rates appear to be achievedpoint-wise in space away from the source. (C) 2019 Elsevier Inc. All rights reserved.
机构:
Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R ChinaChinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R China
Zhang, Wensheng
Tong, Li
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Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R ChinaChinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R China
Tong, Li
Chung, Eric T.
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Chinese Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R ChinaChinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R China
机构:
Gulf Research & Development Co,, Houston, TX, USA, Gulf Research & Development Co, Houston, TX, USAGulf Research & Development Co,, Houston, TX, USA, Gulf Research & Development Co, Houston, TX, USA
机构:
CSIR Struct Engn Res Ctr, Chennai 600113, Tamil Nadu, India
Indian Inst Technol Delhi, Dept Appl Mech, New Delhi 110016, IndiaCSIR Struct Engn Res Ctr, Chennai 600113, Tamil Nadu, India
Kapuria, Santosh
Kumar, Amit
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CSIR Cent Mech Engn Res Inst, Durgapur 713209, IndiaCSIR Struct Engn Res Ctr, Chennai 600113, Tamil Nadu, India
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Department of Mathematics, Faculty of Science Semlalia, Cadi Ayyad University, B.P. 2390, MarrakeshNational School of Applied Sciences, Ibn Zohr University, B.P. 1136, Agadir
Maniar L.
Bouslous H.
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Department of Mathematics, Faculty of Science Semlalia, Cadi Ayyad University, B.P. 2390, MarrakeshNational School of Applied Sciences, Ibn Zohr University, B.P. 1136, Agadir