Discontinuous Galerkin modeling of 3D arbitrary anisotropic Q

Geophysics ◽  
2019 ◽  
Vol 84 (6) ◽  
pp. C295-C309 ◽  
Author(s):  
Qiwei Zhan ◽  
Mingwei Zhuang ◽  
Yuan Fang ◽  
Qing Huo Liu

For wave propagation problems, conventional time-domain anelastic attenuation modeling involves either Caputo fractional time derivatives for an exactly constant-[Formula: see text] model, thus leading to globally temporal memory effects; or auxiliary partial differential equations (PDEs) for a nearly constant-[Formula: see text] model, thus resulting in globally spatial operators. Therefore, memory and time consumptions increase tremendously, compared with the purely elastic counterpart. Moreover, the numerical models are usually limited to isotropic or transversely isotropic attenuation, due to the ambiguity of anisotropic attenuation parameterization. Therefore, it is indispensable to investigate an efficient method, to easily incorporate the general anisotropic attenuation effects in the time domain. To tackle these problems, we have first developed a [Formula: see text]-transformation rule, via the correspondence principle, revealing the validity range for a large enough [Formula: see text] value. Then, we construct a new constitutive equation, by extending the generalized Maxwell body, from the isotropic viscoelastic media to fully anisotropic scenario, i.e., as complex as triclinic attenuation. As a result, global memory effects are effectively localized, with several anelastic functions subject to ordinary differential equations, while preserving the original governing equations. An efficient hp-adaptive discontinuous Galerkin (DG) time-domain algorithm is implemented, where the Riemann problem is exactly solved. Consequently, the extra computation cost to incorporate [Formula: see text] effects is nearly negligible. Furthermore, we derive an analytical solution for the general anisotropic attenuation to verify this DG implementation.

Author(s):  
Vikas Rathi ◽  
K. Shrivastava ◽  
Hemant S Pokhariya

The Finite Difference Time Domain method (FDTD) uses centre-difference representations of the continuous partial differential equations to create iterative numerical models of wave propagation. First we study the propagation behavior of the wave in single dimension without PML and in second part we study the absorption using PML for the same wave using MATLAB environment.


Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1110
Author(s):  
Wei-Qin Liu ◽  
Luo-Nan Xiong ◽  
Guo-Wei Zhang ◽  
Meng Yang ◽  
Wei-Guo Wu ◽  
...  

The numerical hydroelastic method is used to study the structural response of a hexagon enclosed platform (HEP) of flexible module rigid connector (FMRC) structure that can provide life accommodation, ship berthing and marine supply for ships sailing in the deep ocean. Six trapezoidal floating structures constitute the HEP structure so that it is a symmetrical very large floating structure (VLFS). The HEP has the characteristics of large area and small depth, so its hydroelastic response is significant. Therefore, this paper studies the structural responses of a hexagon enclosed platform of FMRC structure in waves by means of a 3D potential-flow hydroelastic method based on modal superposition. Numerical models, including the hydrodynamic model, wet surface model and finite element method (FEM) model, are established, a rigid connection is simulated by many-point-contraction (MPC) and the number of wave cases is determined. The load and structural response of HEP are obtained and analyzed in all wave cases, and frequency-domain hydroelastic calculation and time-domain hydroelastic calculation are carried out. After obtaining a number of response amplitude operators (RAOs) for stress and time-domain stress histories, the mechanism of the HEP structure is compared and analyzed. This study is used to guide engineering design for enclosed-type ocean platforms.


Author(s):  
Cécile Penland ◽  
Brian D Ewald

Stochastic descriptions of multiscale interactions are more and more frequently found in numerical models of weather and climate. These descriptions are often made in terms of differential equations with random forcing components. In this article, we review the basic properties of stochastic differential equations driven by classical Gaussian white noise and compare with systems described by stable Lévy processes. We also discuss aspects of numerically generating these processes.


Sign in / Sign up

Export Citation Format

Share Document