<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AM</journal-id><journal-title-group><journal-title>Applied Mathematics</journal-title></journal-title-group><issn pub-type="epub">2152-7385</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/am.2021.124015</article-id><article-id pub-id-type="publisher-id">AM-108248</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Numerical Solutions of the Improved Boussinesq Equation with Stokes Damping
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Quanxiang</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>College of Science, Nanjing Agricultural University, Nanjing, China</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>04</month><year>2021</year></pub-date><volume>12</volume><issue>04</issue><fpage>241</fpage><lpage>251</lpage><history><date date-type="received"><day>16,</day>	<month>December</month>	<year>2020</year></date><date date-type="rev-recd"><day>3,</day>	<month>April</month>	<year>2021</year>	</date><date date-type="accepted"><day>6,</day>	<month>April</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In this paper, we propose new finite volume element schemes to numerically solve the improved Boussinesq equation with Stokes damping. The new schemes can inherit characteristic properties of the conservation of mass and the decrease of total energy from the improved Boussinesq equation with Stokes damping. Numerical experiments illustrate that the proposed schemes are second-order accuracy in space and time.
 
</p></abstract><kwd-group><kwd>Energy Dissipation</kwd><kwd> Improved Boussinesq Equation</kwd><kwd> Finite Volume Element</kwd><kwd> Stokes Damping</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The Boussinesq equation was first presented in the 1870s by Joseph Boussinesq to model the propagation of shallow water waves in multiple directions. It is a fourth-order nonlinear partial differential equation and belongs to KdV family, which has been widely used in math-physical field related to nonlinear wave phenomena, such as ion-sound in plasma, nonlinear lattice waves [<xref ref-type="bibr" rid="scirp.108248-ref1">1</xref>]. The Boussinesq equation is also used to study the disturbance and repair of solitary waves in blood vessels with aneurysm [<xref ref-type="bibr" rid="scirp.108248-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.108248-ref3">3</xref>]. A general form of the Boussinesq equation is</p><p>u t t = u x x + q u x x x x + ( u 2 ) x x , (1)</p><p>where u = u ( x , t ) is a sufficiently differentiable function, which for q = − 1 gives the good Boussinesq or well-posed equation, while for q = 1 the bad or ill-posed Boussinesq equation.</p><p>In this study, we will take q = 1 . If the term u x x x x in Equation (1) is replaced with u x x t t , it gives the so-called improved Boussinesq equation</p><p>u t t = u x x + u x x t t + ( u 2 ) x x . (2)</p><p>Researchers do not observe any instability for the above improved Boussinesq equation [<xref ref-type="bibr" rid="scirp.108248-ref4">4</xref>]. The improved Boussinesq equation (IBq) has been investigated theoretically and numerically by many people.</p><p>Yang [<xref ref-type="bibr" rid="scirp.108248-ref5">5</xref>] studied the existence, both locally and globally in time, the uniqueness of solutions and non-existence of global solutions to the initial boundary value problem of a generalized IBq equation. Iskandar and Jain [<xref ref-type="bibr" rid="scirp.108248-ref6">6</xref>] studied the dynamical behavior of IBq equation numerically. El-Zoheiry [<xref ref-type="bibr" rid="scirp.108248-ref7">7</xref>] designed a three-level iterative scheme based on the compact implicit method for solving the improved Boussinesq equation. Bratsos [<xref ref-type="bibr" rid="scirp.108248-ref8">8</xref>] proposed a second order implicit finite difference scheme by rational approximations and constructed a predictor-corrector scheme [<xref ref-type="bibr" rid="scirp.108248-ref9">9</xref>] to avoid the solution of a nonlinear system. Lin et al. [<xref ref-type="bibr" rid="scirp.108248-ref10">10</xref>] used the finite element method with linear B-spline basis functions to discretize the improved Boussinesq equation in space and derived a second-order system. Shokri and Dehghan [<xref ref-type="bibr" rid="scirp.108248-ref11">11</xref>] used collocation and approximated the solution by radial basis functions based on the third-order time discretization to solve the equation. Irk and Dăg [<xref ref-type="bibr" rid="scirp.108248-ref12">12</xref>] obtained numerical simulations of the improved Boussinesq equation by using two finite difference schemes and two finite element methods, based on the second- and third-order time discretization. Zhang and Lu [<xref ref-type="bibr" rid="scirp.108248-ref13">13</xref>] derived quadratic finite volume element schemes to solve the improved Boussinesq equation.</p><p>So far the main attention was paid to the improved Boussinesq equation in the absence of damping. However, the damping will change the amplitude of the waves and their shape. Yan et al. [<xref ref-type="bibr" rid="scirp.108248-ref14">14</xref>] studied the high-order modified Boussinesq equation with damping term. In [<xref ref-type="bibr" rid="scirp.108248-ref15">15</xref>], Arevalo et al. investigated the dynamics of a lattice soliton in the presence of damping. By using a multiple-scale perturbation expansion up to second-order, they derived a general expression for the first-order velocity correction. Chen et al. [<xref ref-type="bibr" rid="scirp.108248-ref16">16</xref>] studied the Cauchy problem for the generalized IBq equation with hydrodynamical damping.</p><p>The improved Boussinesq equation of interest is here</p><p>u t t = u x x + u x x t t + ( u 2 ) x x − γ u t ,   x ∈ [ a , b ] (3)</p><p>where γ is the positive constant. According to [<xref ref-type="bibr" rid="scirp.108248-ref15">15</xref>], the damping in the equation corresponds to the Stokes damping. For the improved Boussinesq equation with Stokes damping, we adopt the following periodic boundary conditions</p><p>∂ l ∂ x l ∂ j u ∂ t j | x = a = ∂ l ∂ x l ∂ j u ∂ t j | x = b , ( l = 0 , 1 ; j = 0 , 1 ) . (4)</p><p>As the analytic solutions for the Equation (3) are not available, it is necessary to design efficient numerical schemes to perform numerical simulation. To investigate the influence of damping on the solution, the proposed schemes should inherit characteristic properties of the system. The finite volume element method has been one of the most commonly used numerical methods for solving partial differential equations [<xref ref-type="bibr" rid="scirp.108248-ref17">17</xref>]. One main attractive property of the method is that, the mass conservation law is maintained, which is fairly desirable for fluid and underground fluid computations. So it has been extensively used in computational fluid dynamics [<xref ref-type="bibr" rid="scirp.108248-ref18">18</xref>] - [<xref ref-type="bibr" rid="scirp.108248-ref23">23</xref>].</p><p>In this study, we will propose new finite volume element schemes for the improved Boussinesq equation with Stokes damping. The schemes can preserve mass conservation and energy dissipation of the improved Boussinesq equation. Furthermore, we will study numerically the rate of decay of solutions of the considered equation using our numerical schemes.</p><p>The paper is organized as follows: Our numerical method is described in Section 2, which will give good results for deterministic cases. In Section 3, we present some numerical examples to illustrate the accuracy and conservation property of the proposed numerical schemes. In Section 4, the numerical results for the improved Boussinesq equation with damping are given. The conclusions are summarized in the last section.</p></sec><sec id="s2"><title>2. Numerical Method</title><p>In this section, new finite volume element schemes will be derived to solve the considered Equation (3).</p><sec id="s2_1"><title>2.1. Energy Dissipation Property</title><p>In order to see the energy dissipation property, it is more convenient to work with the following system representation</p><p>{ u t = v x , v t − v x x t = ∂ ∂ x ( δ G δ u ) − γ v , (5)</p><p>where δ G δ u is the Euler-Lagrange variational derivative [<xref ref-type="bibr" rid="scirp.108248-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.108248-ref25">25</xref>] defined by</p><p>δ G δ u = ∂ G ∂ u − ∂ ∂ x ( δ G δ u x ) ,   G = u 2 2 + u 3 3 .</p><p>Then, the improved Boussinesq equation with Stokes damping has the following mass conservation property.</p><p>Proposition 1. Let u be the solution of Equation (5). Then the total mass ∫ a b     u d x is independent of t. Namely,</p><p>d d t ∫ a b     u d x = 0. (6)</p><p>The conservation of mass can be easily proved with periodic boundary conditions.</p><p>Proposition 2. Let u be the solution of Equation (5). Then the total energy ∫ a b     G ˜ ( u , u t , v ) d x is independent of t. Namely,</p><p>d d t ∫ a b     G ˜ ( u , u t , v ) d x ≤ 0, (7)</p><p>where</p><p>G ˜ ( u , u t , v ) = v 2 2 + ( u t ) 2 2 + G ( u ) .</p><p>Proof. According to the chain rule, we have</p><p>d d t ∫ a b     G ˜ d x = ∫ a b ( v v t + u t u t t + δ G δ u u t ) d x</p><p>By the first equality of Equation (5), we can get</p><p>= ∫ a b ( v v t + v x v x t + δ G δ u v x ) d x</p><p>Using the integration by part formula, we have</p><p>= ∫ a b     v ( v t − v x x t − ∂ ∂ x ( δ G δ u ) ) d x</p><p>At last, according to the second equality of Equation (5), we can complete the proof</p><p>d d t ∫ a b     G ˜ d x = − γ ∫ a b     v 2 d x ≤ 0.</p></sec><sec id="s2_2"><title>2.2. Trial and Test Function Spaces</title><p>The region of interest [ a , b ] can be decomposed into a grid T h with nodes</p><p>a = x 0 &lt; x 1 &lt; x 2 &lt; ⋯ &lt; x N − 1 &lt; x N = b . (8)</p><p>where x i − x i − 1 = h and h = ( b − a ) / N . Denote T h = { I i : I i = [ x i − 1 , x i ] , i = 1 , 2 , ⋯ , N } . Accordingly, we place a dual grid T h * with nodes</p><p>a = x 0 &lt; x 1 / 2 &lt; x 3 / 2 &lt; ⋯ &lt; x N − 3 / 2 &lt; x N − 1 / 2 &lt; x N = b , (9)</p><p>where x i − 1 / 2 = x i − h / 2 , i = 1 , 2 , ⋯ , N Denote I 0 ∗ = [ x 0 , x 1 / 2 ] , I i ∗ = [ x i − 1 / 2 , x i + 1 / 2 ] and I N ∗ = [ x N − 1 / 2 , x N ] .</p><p>Select the trial function space U h as the linear element space with respect to T h . The basis function of the node x i is</p><p>ϕ i ( x ) = { 1 − | x − x i | / h ,       x i − 1 ≤ x ≤ x i + 1 , 0 ,                                       elsewhere . (10)</p><p>Then numerical solution U for Equation (5) can be uniquely written as U = ∑ i = 1 N     U i ϕ i ( x ) , where U i = U ( x i , t ) . So in the element I i , we have</p><p>U = U i − 1 ( 1 − μ ) + U i μ , (11)</p><p>U ′ = ( U i − U i − 1 ) / h , (12)</p><p>where μ = ( x − x i − 1 ) / h .</p><p>The test function space V h corresponding to T h * is taken as the piecewise constant function space. The test function of the nodes x j is</p><p>ψ j ( x ) = { 1,     x j − 1 / 2 ≤ x ≤ x j + 1 / 2 , 0,           elsewhere , (13)</p><p>In addition, we take Δ t as the time step and the numerical solution can be denoted by U k n ≃ u ( k h , n Δ t ) .</p><p>Recall the definition G ˜ ( u , u t , v ) = v 2 2 + ( u t ) 2 2 + G ( u ) . According to the definition of Euler-Lagrange derivative, we have δ G ˜ δ u = δ G δ u , δ G ˜ δ u t = u t and δ G ˜ δ v = v . So the Equation (5) can be rewritten as</p><p>{ u t = ∂ ∂ x ( δ G ˜ δ v ) , ( 1 − ∂ x 2 ) v t = ∂ ∂ x ( δ G ˜ δ u ) − γ v , (14)</p><p>where ∂ x 2 = ∂ 2 ∂ x 2 .</p><p>Using any ψ ∈ V h and ψ ˜ ∈ V h to multiply both sides of Equation (14) and integrating on the interval [ a , b ] , we can obtain the following semi-discrete scheme</p><p>{ ( u t , ψ ) = ( ∂ ∂ x ( δ G ˜ δ v ) , ψ ) , ( ( 1 − ∂ x 2 ) v t , ψ ˜ ) = ( ∂ ∂ x ( δ G ˜ δ u ) − γ v , ψ ˜ ) , (15)</p><p>where ( ⋅ , ⋅ ) denotes the inner product of L 2 ( [ a , b ] ) .</p><p>Now we discretize the above semi-discrete scheme in time. To simplify the notation, we will use the difference operator δ n 〈 1 〉 u n = u n + 1 − u n − 1 2 Δ t . Additionally, we define the discrete version of Euler-Lagrange derivative δ G ˜ δ u = u 2 2 + u 3 3 , δ G ˜ δ u t = u t and δ G ˜ δ v = v by</p><p>δ G ˜ d δ ( u n + 1 , u n , u n − 1 ) = u n + u n ( u n + 1 + u n + u n − 1 ) 3 , (16)</p><p>δ G ˜ d δ ( δ n 〈 1 〉 u n ) = δ n 〈 1 〉 u n , (17)</p><p>δ G ˜ d δ ( v n ) = v n . (18)</p><p>At last, we can get the following energy dissipation finite volume element schemes</p><p>{ ( δ n 〈 1 〉 u n , ψ ) = ( ∂ ∂ x ( δ G ˜ d δ ( v n ) ) , ψ ) , ( ( 1 − ∂ x 2 ) δ n 〈 1 〉 v n , ψ ˜ ) = ( ∂ ∂ x ( δ G ˜ d δ ( u n + 1 , u n , u n − 1 ) ) − γ v n , ψ ˜ ) . (19)</p><p>Under the periodic boundary conditions, the Equation (19) has the following discrete mass conservation law and energy dissipation property.</p><p>Theorem 1. (Discrete mass conservation law). Under the discrete periodic boundary condition, then numerical solution by Equation (19) conserves mass</p><p>∫ a b     u n d x = c o n s t . (20)</p><p>Theorem 2. (Discrete energy dissipation property). Under the discrete periodic boundary condition, then numerical solution by Equation (19) conserves energy</p><p>1 Δ t ( ∫ a b     G ˜ d n + 1 d x − ∫ a b     G ˜ d n d x ) ≤ 0. (21)</p><p>Proof.</p><p>1 Δ t ∫ a b ( G ˜ d n + 1 − G ˜ d n ) d x = ( δ G ˜ d δ ( u n + 1 , u n , u n − 1 ) , δ n 〈 1 〉 u n ) + ( δ G ˜ d δ ( δ n 〈 1 〉 u n ) , δ n 〈 1 〉 u n + 1 − δ n 〈 1 〉 u n − 1 2 Δ t ) + ( δ G ˜ d δ ( v n ) , δ n 〈 1 〉 v n ) = ( δ G ˜ d δ ( u n + 1 , u n , u n − 1 ) , ∂ ∂ x ( δ G ˜ d δ ( v n ) ) ) + ( ∂ ∂ x ( δ G ˜ d δ ( v n ) ) , v x n + 1 − v x n − 1 2 Δ t ) + ( δ G ˜ d δ ( v n ) , δ n 〈 1 〉 v n ) = − ( ∂ ∂ x ( δ G ˜ d δ ( u n + 1 , u n , u n − 1 ) ) , δ G ˜ d δ ( v n ) ) + ( ( 1 − ∂ x 2 ) δ n 〈 1 〉 v n , δ G ˜ d δ ( v n ) ) = − ( γ v n , δ G ˜ d δ ( v n ) ) = − γ ∫ a b ( v n ) 2 d x ≤ 0</p></sec><sec id="s2_3"><title>2.3. Finite Volume Element Schemes</title><p>For comparison, we employ the standard finite volume element scheme constructed based on the</p><p>{ u t = v x , ( 1 − ∂ x 2 ) v t = ( u + u 2 ) x − γ v . (22)</p><p>Then we can obtain the following finite volume element schemes</p><p>{ ( δ n 〈 1 〉 u n , ψ ) = ( v x n , ψ ) , ( ( 1 − ∂ x 2 ) δ n 〈 1 〉 v n , ψ ˜ ) = ( ( u n + ( u n ) 2 ) x − γ v n , ψ ˜ ) . (23)</p><p>Theorem 3. (Discrete mass conservation law). Under the discrete periodic boundary condition, then numerical solution by Equation (23) conserves mass</p><p>∫ a b     u n d x = c o n s t   . (24)</p></sec></sec><sec id="s3"><title>3. Validation of the Numerical Schemes</title><p>In this section, we present some numerical examples to illustrate the accuracy and conservation property of the proposed numerical schemes.</p><sec id="s3_1"><title>3.1. Accuracy</title><p>The initial conditions are taken as</p><p>u ( x ,0 ) = α   sech 2 ( α 6 x − x 0 β ) , (25)</p><p>u t ( x , 0 ) = 2 α α 6   sech 2 ( α 6 x − x 0 β ) tanh ( α 6 x − x 0 β ) , (26)</p><p>where α is amplitude of the solitary wave which is initially centered at x = x 0 travelling with velocity β . In addition, we will take x 0 = 0 , α = 0.5 , γ = 0.04 and the region [ − 20,80 ] in the following.</p><p>As the exact solution for the considered examples is not available, we will compute maximum absolute error for the considered examples using the half mesh principle. The maximum absolute error is defined as follows,</p><p>E ( h , Δ t ) = max i | u h Δ t ( i , n ) − u h / 2 Δ t / 2 ( 2 i ,2 n ) | . (27)</p><p>The maximum absolute errors Equation (3) and solitary wave with the above parameters have been computed at t= 1. They are displayed in <xref ref-type="table" rid="table1">Table 1</xref> for the new finite volume element schemes (NFVEM). Examination of the table shows that the error measures of the finite volume element scheme diminish approximately quadratically as the space step size and time step size are simultaneously halved. The error table illustrates that the new numerical schemes have second-order accuracy in space and time direction.</p><p>Furthermore, we compute the problem using standard finite volume element schemes (FVEM). The obtained maximum absolute errors are displayed in <xref ref-type="table" rid="table2">Table 2</xref>. From the table, we can find that the standard finite volume element schemes also have second-order accuracy in space and time direction. The maximum absolute errors computed by the two numerical schemes are consistent. In other words, the proposed new schemes do not reduce the accuracy of the finite volume method.</p></sec><sec id="s3_2"><title>3.2. Conservation Properties</title><p>Now we consider the conservation properties of the new finite volume element schemes and standard finite volume element schemes. The initial conditions and parameters are the same as the above except γ .</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows the evolutions of discrete mass of the proposed new finite volume element schemes and standard finite volume element schemes with γ = 10 − 4 .</p>



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  <label><xref ref-type="table" rid="table1">Table 1</xref></label>
<caption><title> The maximum absolute error for the NFVEM at t = 1</title></caption>
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