Optimal symplectic scheme and generalized discrete convolutional differentiator for seismic wave modeling

被引:10
|
作者
Liu Shao-Lin [1 ]
Li Xiao-Fan [1 ]
Wang Wen-Shuai [1 ,2 ]
Lu Ming-Wen [1 ]
Zhang Mei-Gen [1 ]
机构
[1] Chinese Acad Sci, Key Lab Earths Deep Interior, Beijing 100029, Peoples R China
[2] Ningxia Univ, Sch Math & Comp Sci, Yinchuan 750021, Peoples R China
来源
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION | 2013年 / 56卷 / 07期
关键词
Symplectic scheme; Generalized convolutional differentiator; Numerical modeling; Seismic wave; RUNGE-KUTTA METHOD; ELASTIC-WAVES; PSEUDOSPECTRAL METHOD; FINITE-DIFFERENCE; EQUATION; ACCURATE; PROPAGATION; SIMULATION; MEDIA;
D O I
10.6038/cjg20130731
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In this paper, seismic wave equation is transformed into Hamiltonian system, and a new symplectic numerical scheme is developed, which is so called optimal symplectic algorithm and generalized discrete convolutional differentiator (OSGCD). For temporal discretization, OSGCD introduces Lie operators to construct second-order and two stage symplectic scheme and adopts optimal symplectic scheme based on minimum error principle. For the spatial derivative, OSGCD employs generalized discrete convolution differentiator to approximate the spatial differential operators and uses derivative approximation to obtain stable operator coefficients. We obtain the stability condition for 2D case. In numerical experiments, OSGCD is compared with different methods and it has advantages in both accuracy and efficiency. OSGCD also has the ability for modeling long-term seismic wave propagation and modeling seismic wave in heterogeneous media.
引用
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页码:2452 / 2462
页数:11
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