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A boundary integral equation method for the fluid-solid interaction problem

  • In this paper, a boundary integral equation method is proposed for the fluid-solid interaction scattering problem, and a high-precision numerical method is developed. More specifically, by introducing the Helmholtz decomposition, the corresponding problem is transformed into a coupled boundary value problem for the Helmholtz equation. Based on the integral equation method, the coupled value problem is reduced to a system of three coupled hypersingular integral equations. Semi-discrete and fully-discrete collocation methods are proposed for the singular integral equations. The presented method is based on trigonometric interpolation and discretized singular operators applied to differentiated interpolation. The convergence of the method is verified by a numerical experiment.

    Citation: Yao Sun, Pan Wang, Xinru Lu, Bo Chen. A boundary integral equation method for the fluid-solid interaction problem[J]. Communications in Analysis and Mechanics, 2023, 15(4): 716-742. doi: 10.3934/cam.2023035

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  • In this paper, a boundary integral equation method is proposed for the fluid-solid interaction scattering problem, and a high-precision numerical method is developed. More specifically, by introducing the Helmholtz decomposition, the corresponding problem is transformed into a coupled boundary value problem for the Helmholtz equation. Based on the integral equation method, the coupled value problem is reduced to a system of three coupled hypersingular integral equations. Semi-discrete and fully-discrete collocation methods are proposed for the singular integral equations. The presented method is based on trigonometric interpolation and discretized singular operators applied to differentiated interpolation. The convergence of the method is verified by a numerical experiment.



    The fluid-solid interaction scattering problem has received more and more attention due to its wide application in seismology, oceanography, biomedicine and other fields [1,2,3]. When an incident acoustic plane wave encounters an elastic solid, which is immersed in a homogeneous fluid, the elastic solid will have small displacements. We call such a problem the fluid-solid interaction problem. This physical phenomenon is generally described by a transmission problem with acoustic scattering and displacements in the elastic solid. The fluid-solid interaction problem has many applications, such as underwater nondestructive testing (see [4] for details). There are many numerical methods to solve such scattering problems, such as the variational methods [5,6], the finite element method [7,8,9,10], mixed finite element method [11,12,13], T-matrix method [14,15], immersed boundary method [16,17] and pressure-correction schemes [18]. Some other related methods can be found [19,20,21,22] for inverse problems and [23,24,25,26,27] for the direct problems.

    The fluid-solid interaction scattering problem is mathematically expressed as a class of boundary value transport problems. Gatica et al.[8,9,12] give some numerical methods for the fluid-solid interaction problem based on the finite element method. For the scattering transmission problems, the boundary integral equation method is effective [28,29,30,31,32]. The main idea is to obtain the boundary integral expression of the unknown function by using Green's formula or potential theory, and then to obtain the boundary integral equation equivalent to the original scattering problem by using the limiting idea to restrict the solution to the boundary of the domain. In [33], Luke and Martin gave several kinds of boundary integral equations for solving fluid-solid interaction direct scattering problems of bounded structures, as well as the analysis of existence and uniqueness of solutions. Atkinson [34] proposed that the most efficient method for solving boundary integral equations on smooth boundaries is based on trigonometric polynomial approximation. In addition, due to the singularity of the integral equation, the solution of the equation requires special handling of the singularity of the integral kernel; see [35] for details. Kress [36] studied the quadrature method of logarithmic singular integral equations, which discretized the principal part of the singular operator based on triangular interpolation. The quadrature method of hypersingular integral equation was studied based on triangular interpolation and differentiation in [37], a fully discrete collocation method was proposed, and the convergence was analyzed in [38].

    In this paper, we study a transmission problem with acoustic scattering and displacements in the elastic solid. When there are not Jones frequencies [39,40], the corresponding problem is always uniquely solvable. The Fredholm theory combined with the variational method can give a theoretical analysis about this problem. The boundary element methods can get the accurate numerical solution of this problem [33,41]. Inspired by [42,43,44,45] singular integral operators can be decomposed into isomorphic operators and compact operators, and the fluid-solid interaction scattering problem is reduced to the coupled singular integral equations by the Helmholtz decomposition. Then, the convergence analysis of integral equations can be carried out by using the collocation method.

    The organization of this paper is as follows. In section 2, we introduce the fluid-solid interaction scattering problem. In section 3, we give the boundary integral equation of the model and decompose the singular integral operator. In section 4, the semi-discrete and fully discrete forms of the boundary integral equation are given, and then the convergence is analyzed using the collocation method based on triangular interpolation and differentiation. Section 5 presents a benchmark example to demonstrate the effectiveness of the proposed method.

    In this paper, the model is that there is a sufficiently long elastic cylinder immersed in homogeneous compressible inviscid fluid. We consider the corresponding mathematical problem between the cross section of the elastic cylinder and the fluid, that is, the two dimensional fluid-solid interaction problem. We denoted ΩR2 be an isotropic elastic solid obstacle, and the boundary Ω is analytic. Outside the solution domain Ω, there is full filled with the compressible inviscid fluid in R2¯Ω. The densities of the elastic solid obstacle and the fluid are denoted by ρe and ρf. ν=(ν1,ν2) is the unit normal vector, and τ=(τ1,τ2) is the tangential vector on Ω. In general, the components of ν and τ satisfy τ1=ν2, τ2=ν1.

    Given an incident field uinc(x)=eiκaxd, find the elastic displacement u(C2(Ω)C1(¯Ω))2 and the acoustic scattered field usC2(R2¯Ω)C1(R2Ω). Here, the elastic displacement u satisfies the following Navier equation

    μΔu+(λ+μ)u+ρeω2u=0,  inΩ. (2.1)

    λ and μ, usually called Lamˊe constants, satisfy μ>0 and μ+λ>0. ω>0 is the frequency. The acoustic scattered field us satisfies the Helmholtz equation

    Δus+κ2aus=0,  inR2¯Ω, (2.2)

    and the Sommerfeld radiation condition gives

    limrr1/2(rusiκaus)=0,  r=|x|. (2.3)

    Here, κa=ω/c is the wavenumber, with c being the sound speed in the fluid. In addition, the elastic displacement u and the total field u=us+uinc satisfy the transmission conditions on the interface Ω,

    T(u)=uν,uν=1w2ρfνu, (2.4)

    where the traction operator T is given by

    T(u):=μνu+(λ+μ)(u)ν.

    It has been shown (see [39]) that for certain geometries and some frequencies ω, which are called Jones frequencies, the solution of the corresponding transmission problem (2.1)−(2.3) is not unique. In this paper, we assume that the frequency ω is not one of the Jones frequencies.

    The vector operator curl for a scalar function w is given by

    ×w=(wx2,wx1).

    The Helmholtz decomposition for the solution u of (2.1) gives the following form:

    u=up+×us, (2.5)

    where up and us, respectively, are the solutions of the Helmholtz equations

    Δup+κ2pup=0,Δus+κ2sus=0,

    with the compressional wave number κp=ρeω2λ+2μ and the shear wave number κs=ρeω2μ, respectively. Combining (2.4) and (2.5), we get

    μν(up+×us)+(λ+μ)((up+×us))ν=uν, (2.6)
    (up+×us)ν=νu/(ω2ρf). (2.7)

    We can rewrite equation (2.6) by the normal vector direction and the tangential vector direction, respectively. Together with (2.7), we will have

    {Δup+κ2pup=0,inΩ,Δus+κ2sus=0,inΩ,Δus+κ2aus=0,inR2¯Ω,μννup+μνν×us(λ+μ)κ2pup+us=f1,onΩ,τνup+τν×us=f2,onΩ,νup+τusνus/(ω2ρf)=f3,onΩ,limrr12(rusiκaus)=0,r=|x|, (2.8)

    with f1=uinc,f2=0,f3=νuinc/(ρfω2).

    For the above problem, we are interested in the case κp>0, κs>0 and κa>0, since the problem we considered is always a practice problem, such as the copper alloy in the water or the rock in the magma.

    From [44], the solution of the BVPs for the Helmholtz equation can be given by the form of single-layer potentials, and thus the solution of (2.8) will be given as follows:

    up(x)=ΩΦ(κp|xy|)g1(y)ds(y),xΩ, (3.1)
    us(x)=ΩΦ(κs|xy|)g2(y)ds(y),xΩ, (3.2)
    us(x)=ΩΦ(κa|xy|)g3(y)ds(y),xR2¯Ω, (3.3)

    with unknown densities giC1,α(Ω),i=1,2,3. Φ(κ|xy|)=i4H(1)0(κ|xy|),xy, is the fundamental solution of the two-dimensional Helmholtz equation with H(1)0 being the Hankel function of the first kind of order zero.

    If we let the point x tend to boundary Ω in (3.1)−(3.3), together with the jump relations of the single-layer potentials (see e.g. [43,44]), we can get

    f1(x)=μκ2pν(x)ΩΦ(κp|xy|)[ν(y)ν(y)]g1(y)ν(x)ds(y)+12μν(x)(g1τ)τ(x)μν(x)ΩΦ(κp|xy|)τ(x)(g1ν)τ(y)ds(y)+μν(x)ΩΦ(κp|xy|)ν(x)(g1τ)τ(y)ds(y)+μκ2sν(x)ΩΦ(κs|xy|)[τ(y)ν(y)]g2(y)ν(x)ds(y)+12μν(x)(g2ν)τ(x)+μν(x)ΩΦ(κs|xy|)τ(x)(g2τ)τ(y)ds(y)+μν(x)ΩΦ(κs|xy|)ν(x)(g2ν)τ(y)ds(y)(λ+μ)κ2pΩΦ(κp|xy|)g1(y)ds(y)+ΩΦ(κa|xy|)g3(y)ds(y),f2(x)=κ2pτ(x)ΩΦ(κp|xy|)[ν(y)ν(y)]g1(y)ν(x)ds(y)+12τ(x)(g1τ)τ(x)τ(x)ΩΦ(κp|xy|)τ(x)(g1ν)τ(y)ds(y)+τ(x)ΩΦ(κp|xy|)ν(x)(g1τ)τ(y)ds(y)+κ2sτ(x)ΩΦ(κs|xy|)[τ(y)ν(y)]g2(y)ν(x)ds(y)+12τ(x)(g2ν)τ(x)+τ(x)ΩΦ(κs|xy|)τ(x)(g2τ)τ(y)ds(y)+τ(x)ΩΦ(κs|xy|)ν(x)(g2ν)τ(y)ds(y),f3(x)=ΩΦ(κp|xy|)ν(x)g1(y)ds(y)+12g1(x)+ΩΦ(κs|xy|)τ(x)g2(y)ds(y)1ρfω2ΩΦ(κa|xy|)ν(x)g3(y)ds(y)+g3(x)2ρfω2. (3.4)

    Through using the single-layer operator

    (Sσg)(x)=2ΩΦ(κσ|xy|)g(y)ds(y),xΩ,

    and its normal and tangential derivative operators

    {(Kσg)(x)=2ΩΦ(κσ|xy|)ν(x)g(y)ds(y),(Hσg)(x)=2ΩΦ(κσ|xy|)τ(x)g(y)ds(y),xΩ,

    the corresponding coupled equations (3.4) can be rewritten as the form

    2f1(x)=μκ2pνSp[ννg1]ν+μνKp[ττg1+g1ττ]μνHp[ντg1+g1τν]+μκ2sνSs[τνg2]ν+μνKs[ντg2+g2τν]+μνHs[ττg2+g2ττ](λ+μ)κ2pSp[g1]+Sa[g3]+μ(νττ)g1+μ(ντν)g2+μτg2,2f2(x)=κ2pτSp[ννg1]ν+τKp[ττg1+g1ττ]τHp[ντg1+g1τν]+κ2sτSs[τνg2]ν+τKs[ντg2+g2τν]+τHs[ττg2+g2ττ]+(τττ)g1+(ττν)g2+τg1,2f3(x)=Kp[g1]+Hs[g2]Ka[g3]ρfω2+g1+g3ρfω2. (3.5)

    We will get the density functions g1, g2 and g3 by solving the system (3.5).

    Suppose that D is given by

    z(t)=(z1(t),z2(t)),0t<2π,

    with (z1(t))2+(z2(t))2>0, and z(t) is a 2πperiodic function. To simplify the corresponding coupled system, we introduce the parameterization of the integral operators Sσ, Sσij, Kσ, Kσi, Hσj as follows:

    (Sσφ)(t)=|z(t)|2π0sσ(t,η)φ(η)dη,(Sσijφ)(t)=|z(t)|2π0mi(t,η)mj(t,η)sσ(t,η)φ(η)dη,(Kσφ)(t)=2π0kσ(t,η)φ(η)dη,(Kσiφ)(t)=2π0mi(t,η)kσ(t,η)φ(η)dη,(Hσφ)(t)=2π0hσ(t,η)φ(η)dη,(Hσiφ)(t)=2π0mi(t,η)hσ(t,η)φ(η)dη,

    with

    sσ=i2H(1)0(κσ|z(t)z(η)|),kσ=iκσH(1)1(κσ|z(t)z(η)|)2|z(t)z(η)|[z(η)z(t)]n(t),hσ=iκσH(1)1(κσ|z(t)z(η)|)2|z(t)z(η)|[z(η)z(t)]n(t),

    and

    n(t):=(z2(t),z1(t)),˜ν=νz,n(t):=(z1(t),z2(t)),˜τ=τz,˜τ=(˜τ1,˜τ2),˜ν=(˜ν1,˜ν2),m0(t,η)=|z(t)|,m1(t,η)=˜ν(t)˜ν(η)=˜τ(t)˜τ(η),m2(t,η)=˜ν(t)˜ν(η)=˜τ(t)˜τ(η),m3(t,η)=˜ν(t)˜τ(η)=˜τ(t)˜ν(η),m4(t,η)=˜ν(t)˜τ(η)=˜τ(t)˜ν(η).

    Obviously, the functions mi(t,η),i=0,1,2,3,4, are analytic.

    For the 2πperiodic scalar function w:RC, we define Hp[0,2π],p0 by the corresponding space, which is equipped with the norm

    w2p:=m=(1+m2)p|ˆwm|2<.

    Here,

    ˆwm=12π2π0w(t)eimtdt

    denotes the Fourier coefficients of w. We introduce the Sobolev space

    Hp[0,2π]3={v=(v1,v2,v3):vi(t)Hp[0,2π],i=1,2,3},

    and equip the norm

    vp=∥v1p+v2p+v3p.

    Introducing the operators Ei:Hp[0,2π]Hp[0,2π],

    (Eiφ)(t)=mi(t,t)φ(t),i=0,2,4,

    and the differentiation operator D:Hp[0,2π]Hp1[0,2π],

    (Dφ)(t)=φ(t).

    By equation (3.5), multiplying |z(t)|, we can get the system

    Aφ=[A11A12A13A21A22A23A31A32A33][φ1φ2φ3]=[w1w2w3], (3.6)

    where

    A11=μκ2pSp11E0+μKp3D+μKp4μHp1DμHp2(λ+μ)κ2pSpE0+μE4,A12=μκ2sSs31E0+μKs1D+μKs2+μHs3D+μHs4+μE2+μD,A13=SaE0,A21=κ2pSp31E0+Kp1D+Kp2+Hp3D+Hp4+E2+D,A22=κ2sSs11E0Ks3DKs4+Hs1D+Hs2E4,A23=0,A31=KpE0+D,A32=HsE0,A33=(E0KaE0)/ω2ρf.

    and φj=gjz, wj=2|z(t)|(fjz), j=1,2,3.

    Since the kernel sσ(t,η) of the single-layer has a weak singularity at t=η, the kernel sσ(t,η) can be rewritten by

    sσ(t,η)=s1σ(t,η)ln(4sin2tη2)+s2σ(t,η), (3.7)

    with

    s1σ(s,η)=12πJ0(κσ|z(t)z(η)|),s2σ(t,η)=sσ(t,η)s1σ(t,η)ln(4sin2tη2).

    The above two parts are analytic, and the values at t=η are given by

    s1σ(t,t)=12π,s2σ(t,t)=i2Ecπ1πln(κσ2|z(t)|).

    Based on the above equations, especially by equation (3.7), the singular integral operators Sσ, Sσij will be split into

    Sσ=˜S1σ+˜S2σ+S3, (3.8)
    Sσij=˜S1σij+˜S2σ,ij+S3ij, (3.9)

    with

    (˜S1σφ)(t)=2π0ln(4sin2tη2)˜s1σ(t,η)φ(η)dη,(˜S2σφ)(t)=2π0˜s2σ(t,η)φ(η)dη,(S3φ)(t)=1π2π0φ(η)dη12π2π0ln(4sin2tη2)φ(η)dη,(˜S1σijφ)(t)=2π0ln(4sin2tη2)˜s1σ(t,η)mi(t,η)mj(t,η)φ(η)dη,(˜S2σijφ)(t)=2π0˜s2σ(t,η)mi(t,η)mj(t,η)φ(η)dη,(S3ijφ)(t)=12π2π0(2ln(4sin2tη2))φ(η)mi(t,η)mj(t,η)dη.

    The kernels

    ˜s1σ(t,η)=s1σ(t,η)+12π,˜s2σ(t,η)=s2σ(t,η)1π

    are also analytic with ˜s1σ(t,t)=0 at t=η.

    As in [46], the kernel kσ(t,η) has two parts as follows:

    kσ(t,η)=k2σ(t,η)+k1σ(t,η)ln(4sin2tη2), (3.10)

    with

    k1σ(t,η)=κσJ1(κσ|z(t)z(η)|)2π|z(t)z(η)|[z(t)z(η)]n(t),k2σ(t,η)=kσ(t,η)k1σ(t,η)ln(4sin2tη2).

    These two parts are analytic, and the values at t=η are

    k2σ(t,t)=z

    Therefore, , will be in the following form

    Following the idea in [42], the kernel will be split into

    (3.11)

    with

    When , the corresponding form will be

    Based on the above equations, especially by the equation (3.11), the singular integral operators , will be given by

    (3.12)
    (3.13)

    with

    The kernels

    are analytic. The values at are given by

    By the decomposition of operators, we rewrite integral equations (3.6) by the following from:

    (3.14)

    where , , and , , and

    It should be noted that, for all , the differential operator is bounded for the nullspace containing only the constant functions.

    Theorem 1. The integral operators and are compact operators from to .

    Proof. Noting that for , where are analytic, using [43, Theorem 3.1], we know that are bounded operators from to . The operators are bounded. Noting and using [44, Theorem 12.15, 13.20], we get that is a bounded operator from to for , then is also a bounded operator from to for .

    Therefore, is bounded and consequently is compact from into .

    In fact, it is sufficient to prove that the operators are compact by . From [44, Theorem 8.24], we have that are bounded operators from to , then the integral operators are bounded operators from to for , hence, are bounded. Note that is bounded from to , then is bounded from to .

    Therefore, the operators consequently are compact from into .

    Theorem 2. The integral operator is a compact operator from to .

    Proof. First, it should be noted that

    (3.15)

    Together with [44, Theorems 13.20], we can get that , , are bounded from to Thus are bounded from into . Further, . Then, is bounded from to .

    Second, the goal is to show the boundedness of , . Noting that kernel functions , and are analytic. From [47, Theorem 3.3], we can see that the kernel function is also analytic. Together with [48, Theorem A.45] and [44, Theorems 8.13], we know that the operators , , , are boundness for and all integers . Specifically, for we can get the boundness of the operators , , , . Thus, the operators are bounded from into . is bounded from to .

    Therefore, the operator is a bounded operator from into , and thus a compact operator from to .

    Consider the operator equation (3.14), , and are compact operators from into . In this section, we use the collocation method to give the convergence of the numerical method.

    We describe a semi-discrete method by collocation via trigonometric interpolation. Let be an -dimensional space of trigonometric polynomials of the form

    Let denote the interpolation operator. If there are points uniformly distributed on , the operator , for a function , will give a trigonometric polynomial satisfying .

    Let and define the interpolation operator by For the interpolation error, we note that

    (4.1)

    for all and some constant depending and .

    We denote the numerical solution of corresponding to the equation (3.14) by , which is the solution of the following equation:

    (4.2)

    Remark 4.1. For the semi-discrete collocation method, it is expected that the following estimate holds under certain conditions:

    for each , where is a positive constant depending on and

    For the fully discrete method, we need to approximate all the integral operators and the differentiation operator . For the differentiation operator , we have a description of trigonometric differentiation which approximates by , i.e., the derivative of a periodic function g by the derivative of the trigonometric interpolation polynomial Denote the Lagrange basis by

    For , from the boundness of , we have the error estimate

    (4.3)

    whith the constant depending on and .

    The trigonometric polynomial numerical solution of satisfies the following projected equation:

    (4.4)

    Here, , , and the quadrature operators are described by , , ,

    Define , , , with being the interpolation with respect to the variable , where

    Theorem 3. Assume that and . Then, for the quadrature operators , , , the following estimates hold:

    (4.5)
    (4.6)
    (4.7)

    for all and all , where , , are positive constants depending on and .

    Proof. We rewrite the functions , in the form of

    where

    Denote the full-discretization of , via interpolatory quadrature

    Since the kernel functions and , i = 1, 2, 3, 4, are analytic, we get that , are analytic. Following from [44, theorem 12.15, 12.18], for all , we deduce

    for and . For , , we have the analogous estimate

    for some constants and depending on and . Further, due to , , using [44, Lemma 13.21], we get

    for all trigonometric polynomials and some constant depending on and .

    Theorem 4. Assume that . Then, the operators , , and have estimate

    for all trigonometric polynomials .

    Proof. From the boundness of the operator and the estimate (4.1), for , , we obtain

    (4.8)

    for all , where is a positive constant depending on , and is a positive constant depending on and . Using the boundness of the operator , combining the estimate (4.1) and (4.8), for the trigonometric polynomials , we obtain

    (4.9)

    for and some constant . Similarly, combining estimate (4.1) and (4.5), we have

    (4.10)

    for and some constant . Recalling (4.3) implies

    (4.11)

    for and some constant . Therefore, combining the estimates (4.9), (4.10), (4.11), the proof is completed.

    Theorem 5. Assume that . Then, the operators , and have estimate

    for all trigonometric polynomials .

    Proof. Noting , for all trigonometric polynomials , we can transform

    (4.12)
    (4.13)

    By the analogous discussion in Theorem 3, for all and all , we get

    for and , where some constants and depend on and . Thus, in particular, , , are bounded operators from to , for .

    From the boundedness of and the uniform boundedness of for , together with (4.12) and (4.13), we obtain

    (4.14)
    (4.15)

    for all trigonometric polynomials .

    Hence, combining the estimates (4.14), (4.15), the proof is completed.

    Remark 4.2. If the number , the equation (4.4) is expected to have a unique solution . For the fully discrete collocation method, it is expected that the following estimate holds under certain conditions:

    for all and some positive constant .

    sFrom the remarks 4.1 and 4.2, we expect that the collocation method is convergent in for each . The convergence analysis of the proposed numerical method depends on the invertibility of the boundary integral system as well as the discretized system, especially for the analysis of the properties of the operator and , which is currently under investigation.

    For the smooth integrals, we use the trapezoidal rule:

    (5.1)

    For the singular integrals, following the quadrature rules in [46, equation (3.93)], [42, equation (4.6)] and [38, equation (13.39)], we employ the following quadrature rules:

    (5.2)

    where is a continuous function, and the weight function is given by

    Thus, the equation becomes

    (5.3)

    where

    An exact solution is available for the evaluation of the accuracy. We use the boundary integral equation method to get the numerical solution of this problem. The domain is a disk, whose radius is . is a linear and isotropic elastic solid body, and the incident plane wave is given by with the unit direction . The exact solution for this model can be written as

    where

    The coefficients , , can be determined from the transmission conditions on by the collocation method. We can get a linear system as follows:

    where , , The elements are given by the following formulations:

    where , if else .

    In this example, the numbers of the coefficients for , , are all , and the radius is . The sound speed in the water is , and the density of the water is . The density of copper alloy is , and the frequency is . The wave speeds of the pressure wave and the shear wave in the copper alloy are and . The number of the collocation points is , and these points are uniformly distributed on the circle. We observe the acoustic scattered field on the circle with radius and observe the elastic displacement field on the circle with radius .

    Figure 1 shows the numerical solutions and the analytic solution. We can observe that the numerical solution can stably approximate the analytic solution even if the displacement and the acoustic scattering field are multi-level valued. Figure 2 presents the relative errors between the exact solution and the numerical solution with different numbers of the collocation points. We can see that the presented method will give accurate results. It also can be seen that the errors do not decrease for .

    Figure 1.  The numerical solutions and the exact solution for in Example 1.
    Figure 2.  The accuracy by changing the numbers of the boundary collocation points.

    In this paper, we have studied in two dimensions the fluid-solid interaction scattering problem by a boundary integral equation method. The effectiveness of the method has been shown by solving some examples. In the numerical example, we construct the exact solution to check the feasibility and accuracy of the presented method. From the numerical results, we can see that the proposed method is effective. We give some theoretical results for the discretized singular operators. Other potential methods for the corresponding problem are considered, such as the singular boundary method [49,50,51], etc.s

    The research was supported by the Natural Science Foundation of China (Nos: 12101603, 11501566) and Tianjin Education Commission Research Project (No: 2022KJ072).

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors declare there is no conflict of interest.



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