Mathematical Problems in Engineering

Volume 2015, Article ID 381052, 7 pages

http://dx.doi.org/10.1155/2015/381052

## An Unconditionally Stable Method for Solving the Acoustic Wave Equation

National Key Laboratory on Electromagnetic Environmental Effects and Electro-optical Engineering, PLA University of Science and Technology, Nanjing 210007, China

Received 16 April 2015; Revised 21 July 2015; Accepted 26 July 2015

Academic Editor: Mitsuhiro Okayasu

Copyright © 2015 Zhi-Kai Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

An unconditionally stable method for solving the time-domain acoustic wave equation using Associated Hermit orthogonal functions is proposed. The second-order time derivatives in acoustic wave equation are expanded by these orthogonal basis functions. By applying Galerkin temporal testing procedure, the time variable can be eliminated from the calculations. The restriction of Courant-Friedrichs-Levy (CFL) condition in selecting time step for analyzing thin layer can be avoided. Numerical results show the accuracy and the efficiency of the proposed method.

#### 1. Introduction

Numerical simulation of the acoustic wave equation has been widely used in many areas, such as geophysics, exploration, and ultrasonic detection [1–5]. The finite difference (FD) method in time domain is one of the most widely used methods in solving problems related to acoustics due to its efficiency and simplicity [6–8]. However, as the FD method is an explicit time-marching algorithm, the time step must be limited by the Courant-Friedrichs-Levy (CFL) condition, which means that the computation time will increase dramatically as the spatial grid becomes small. Hence, some unconditionally stable methods were proposed to solve this problem [9–12]. The main categories of these methods include the alternating-direction implicit (ADI) method [10] and the orthogonal decomposition method using weighted Laguerre polynomials (WLP) [11]. Recently, Huang et al. [12, 13] developed a new orthogonal decomposition method using Associated Hermit orthogonal functions and have applied it to first-order Maxwell’s equation.

In this paper, we extended the unconditionally stable method using AH functions to solve the second-order acoustic wave equation. Firstly, the second-order time derivatives in the acoustic wave equation are expanded by a set of orthogonal basis functions. Secondly, the time variable can be eliminated from the calculations by using Galerkin’s method. Finally, a set of implicit equations in the whole computational domain is established and solved in the AH domain.

#### 2. Numerical Formulation for the Acoustic Wave Equation

##### 2.1. 1D Acoustic Wave Equation

For simplicity, we consider the 1D acoustic wave equation with an external source in isotropic mediawhere is the sound velocity, is the wave displacement, and is an external source. In order to truncate the computational domain, we choose Mur’s first-order absorbing boundary condition (ABC) for infinite problem from [14]. At the boundary points or , we have

Consider a set of modified AH orthogonal basis functions given by [12]where is the transformed time variable, is the time-translating parameter, and is the time-scaling parameter. By selecting proper and , the modified AH orthogonal basis functions can be used to approximate the causal displacement bywhere is the th expansion coefficient; is selected according to the bandwidth of the analyzed signal [15].

With the time derivation property of AH functions [15]

We can express the first-order time derivation and the second-order time derivation of the displacement aswhere , , and represents the order in the AH domain. The deduction can be found in the Appendix.

Substituting (4) and (7) into (1), we obtain

Based on the orthogonal property of the AH functions, we can obtain equations of the AH expansion coefficients using the temporal Galerkin testing procedure [11]where , . We can partition the spatial domain into . Then the spatial discrete form of (9) at point can be written aswhere is the spatial grid size.

In (10), a set of implicit equations is included in the AH domain. Based on the recurrence relation from the th order coefficients and the th order coefficients to the th order coefficients, we can rewrite (10) in a matrix form:where in a unit matrix. Consider

Here, is a tridiagonal coefficient matrix. and are the -tuple representations in AH subspace for the displacement and the external source, respectively. In (11), we can find each point has a relationship with its adjacent two points, and a set of implicit equations can be obtained in the whole computation domain from point to :whereis a tridiagonal matrix with submatrix elements. is a combination of all in the whole computation domain. is a vector related with external source expansion coefficients for all points.

Substitute (4) and (6) into (2) and eliminate the temporal terms to obtain (at )

Using the average techniques, we have

Substituting (16) into (15), we have

Applying (17) into all orders in the AH domain, we can obtainwhere

Using the technique above, the absorbing boundary condition at point can be expressed as

Introducing the boundary condition (18) and (20) into (11), (13) can be replaced bywhere is an adaptive coefficient matrix including absorbing boundary condition and is a coefficient matrix corresponding to .

We can use the lower-upper (LU) decomposition method to decompose and use the back-substitution method to calculate the coefficients of the displacement for all points. The displacement can be reconstructed finally by using (4).

##### 2.2. 2D Acoustic Wave Equation

Considering the need for practical application, we extend the method to the 2D acoustic wave equation, which is given bywhere is divided into grid.

Substituting (4) and (7) into (22) and rearranging it, we can obtain a matrix form equation which is similar to (11):where is the spatial grid size in direction and is the spatial grid size in direction. In (23), we can find each point has a relationship with its adjacent four points, so matrix is a five-diagonal coefficient matrix in 2D case.

For the absorbing boundary condition, the boundary condition can be obtained by using (15) to (20). But the corner-point needs special treatment and the spatial grid size is adjusted to at corner-point. For the four corner-points, Mur’s absorbing boundary condition can be expressed as

Introducing Mur’s absorbing boundary condition, the coefficient matrix can be adjusted to . Using the lower-upper (LU) decomposition method and the back-substitution method, the coefficients of all points can be calculated. And the displacement can be reconstructed finally using the method described in 1D case.

#### 3. Numerical Results

##### 3.1. 1D Case

In order to validate the proposed method, a 1D structure constituted by two isotropic media separated by a thin layer ( m, km/s) is analyzed. As shown in Figure 1, the thin layer is located at 60 m, and the total simulation length is 104 m. Displacement at two points (38 m) and (78.1 m) is observed. The sound velocity in media A is 2.5 km/s, and the sound velocity in media B is 3.7 km/s. Nonuniform spatial grids are used. In the thin layer m; in other parts m.