<p>In this work, a Cole–Hopf transformation based fourth-order multiple-relaxation-time lattice Boltzmann (MRT-LB) model for <i>d</i>-dimensional coupled Burgers’ equations is developed. We first adopt the Cole–Hopf transformation where an intermediate variable <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10915_2025_2844_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\theta \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>θ</mi> </math></EquationSource> </InlineEquation> is introduced to eliminate the nonlinear convection terms in the Burgers’ equations on the velocity <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10915_2025_2844_Article_IEq2.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="143" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textbf{u}=(u_1,u_2,\cdots ,u_d)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="bold">u</mi> <mo>=</mo> <mo stretchy="false">(</mo> <msub> <mi>u</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>u</mi> <mn>2</mn> </msub> <mo>,</mo> <mo>⋯</mo> <mo>,</mo> <msub> <mi>u</mi> <mi>d</mi> </msub> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation>. In this case, a diffusion equation on the variable <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10915_2025_2844_Article_IEq3.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\theta \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>θ</mi> </math></EquationSource> </InlineEquation> can be obtained, and particularly, the velocity <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10915_2025_2844_Article_IEq4.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="12" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textbf{u}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="bold">u</mi> </math></EquationSource> </InlineEquation> in the coupled Burgers’ equations is determined by the variable <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10915_2025_2844_Article_IEq5.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\theta \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>θ</mi> </math></EquationSource> </InlineEquation> and its gradient term <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10915_2025_2844_Article_IEq6.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\nabla \theta \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="normal">∇</mi> <mi>θ</mi> </mrow> </math></EquationSource> </InlineEquation>. Then we develop a MRT-LB model for the <i>d</i>-dimensional transformed diffusion equation, and present the corresponding macroscopic finite-difference scheme. At the diffusive scaling, the macroscopic modified equation of the developed MRT-LB model is derived through the Maxwell iteration method. With the aid of the free parameters in the MRT-LB model, we find that not only the modified equation at fourth order can be obtained, but also the gradient term <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10915_2025_2844_Article_IEq7.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\nabla \theta \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="normal">∇</mi> <mi>θ</mi> </mrow> </math></EquationSource> </InlineEquation> can be calculated locally by the non-equilibrium distribution function with a fourth-order accuracy, this indicates that theoretically, the MRT-LB model for <i>d</i>-dimensional coupled Burgers’ equations can achieve a fourth-order accuracy in space. Finally, some simulations are conducted to test the MRT-LB model, and the numerical results show that the proposed MRT-LB model has a fourth-order convergence rate, which is consistent with our theoretical analysis.</p>

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A Cole–Hopf Transformation Based Fourth-Order Multiple-Relaxation-Time Lattice Boltzmann Model for the Coupled Burgers’ Equations

  • Ying Chen,
  • Xi Liu,
  • Zhenhua Chai,
  • Baochang Shi

摘要

In this work, a Cole–Hopf transformation based fourth-order multiple-relaxation-time lattice Boltzmann (MRT-LB) model for d-dimensional coupled Burgers’ equations is developed. We first adopt the Cole–Hopf transformation where an intermediate variable \(\theta \) θ is introduced to eliminate the nonlinear convection terms in the Burgers’ equations on the velocity \(\textbf{u}=(u_1,u_2,\cdots ,u_d)\) u = ( u 1 , u 2 , , u d ) . In this case, a diffusion equation on the variable \(\theta \) θ can be obtained, and particularly, the velocity \(\textbf{u}\) u in the coupled Burgers’ equations is determined by the variable \(\theta \) θ and its gradient term \(\nabla \theta \) θ . Then we develop a MRT-LB model for the d-dimensional transformed diffusion equation, and present the corresponding macroscopic finite-difference scheme. At the diffusive scaling, the macroscopic modified equation of the developed MRT-LB model is derived through the Maxwell iteration method. With the aid of the free parameters in the MRT-LB model, we find that not only the modified equation at fourth order can be obtained, but also the gradient term \(\nabla \theta \) θ can be calculated locally by the non-equilibrium distribution function with a fourth-order accuracy, this indicates that theoretically, the MRT-LB model for d-dimensional coupled Burgers’ equations can achieve a fourth-order accuracy in space. Finally, some simulations are conducted to test the MRT-LB model, and the numerical results show that the proposed MRT-LB model has a fourth-order convergence rate, which is consistent with our theoretical analysis.