دورية أكاديمية

2D seismic wave propagation using the distributional finite-difference method: further developments and potential for global seismology

التفاصيل البيبلوغرافية
العنوان: 2D seismic wave propagation using the distributional finite-difference method: further developments and potential for global seismology
المؤلفون: Masson, Yder, Lyu, Chao, Moczo, Peter, Capdeville, Yann, Romanowicz, Barbara, Virieux, Jean
المساهمون: Université de Pau et des Pays de l'Adour (UPPA), Institute of Geology and Geophysics Beijing (IGG), Chinese Academy of Sciences Beijing (CAS), Comenius University in Bratislava, Laboratoire de Planétologie et Géosciences UMR_C 6112 (LPG), Le Mans Université (UM)-Université d'Angers (UA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Collège de France (CdF (institution)), Department of Earth and Planetary Science UC Berkeley (EPS), University of California Berkeley (UC Berkeley), University of California (UC)-University of California (UC), Institut des Sciences de la Terre (ISTerre), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement IRD : UR219-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )
المصدر: ISSN: 0956-540X.
بيانات النشر: HAL CCSD
Oxford University Press (OUP)
سنة النشر: 2024
المجموعة: Université Savoie Mont Blanc: HAL
مصطلحات موضوعية: Computational seismology, Numerical modelling, Wave propagation, Numerical solutions, Seismic anisotropy, Structure of the Earth, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
الوصف: International audience ; We present a time-domain distributional finite-difference scheme based on the Lebedev staggered grid for the numerical simulation of wave propagation in acoustic and elastic media. The central aspect of the proposed method is the representation of the stresses and displacements with different sets of B-splines functions organized according to the staggered grid. The distributional finite-difference approach allows domain-decomposition, heterogeneity of the medium, curvilinear mesh, anisotropy, non-conformal interfaces, discontinuous grid, and fluid-solid interfaces. Numerical examples show that the proposed scheme is suitable to model wave propagation through the Earth, where sharp interfaces separate large, relatively homogeneous layers. A few domains or elements are sufficient to represent the Earth’s internal structure without relying on advanced meshing techniques. We compare seismograms obtained with the proposed scheme and the spectral element method, and we show that our approach offers superior accuracy, reduced memory usage, and comparable efficiency.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: hal-04464171; https://hal.science/hal-04464171Test; https://hal.science/hal-04464171/documentTest; https://hal.science/hal-04464171/file/Masson_et_al_GJI_2024.pdfTest
DOI: 10.1093/gji/ggae025
الإتاحة: https://doi.org/10.1093/gji/ggae025Test
https://hal.science/hal-04464171Test
https://hal.science/hal-04464171/documentTest
https://hal.science/hal-04464171/file/Masson_et_al_GJI_2024.pdfTest
حقوق: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.646550DB
قاعدة البيانات: BASE