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Research article Special Issues

A mixed operator approach to peridynamics

  • In the present paper we propose a model describing the nonlocal behavior of an elastic body using a peridynamical approach. Indeed, peridynamics is a suitable framework for problems where discontinuities appear naturally, such as fractures, dislocations, or, in general, multiscale materials. In particular, the regional fractional Laplacian is used as the nonlocal operator. Moreover, a combination of the fractional and classical Laplacian operators is used to obtain a better description of the phenomenological response in elasticity. We consider models with linear and nonlinear perturbations. In the linear case, we prove the existence and uniqueness of the solution, while in the nonlinear case the existence of at least two nontrivial solutions of opposite sign is proved. The linear and nonlinear problems are also solved by a numerical approach which estimates the regional fractional Laplacian by means of its singular integral representation. In both cases, a numerical estimation of the solutions is obtained, using in the nonlinear case an approach involving a random variation of an initial guess of the solution. Moreover, in the linear case a parametric analysis is made in order to study the effects of the parameters involved in the model, such as the order of the fractional Laplacian and the mixture law between local and nonlocal behavior.

    Citation: Federico Cluni, Vittorio Gusella, Dimitri Mugnai, Edoardo Proietti Lippi, Patrizia Pucci. A mixed operator approach to peridynamics[J]. Mathematics in Engineering, 2023, 5(5): 1-22. doi: 10.3934/mine.2023082

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  • In the present paper we propose a model describing the nonlocal behavior of an elastic body using a peridynamical approach. Indeed, peridynamics is a suitable framework for problems where discontinuities appear naturally, such as fractures, dislocations, or, in general, multiscale materials. In particular, the regional fractional Laplacian is used as the nonlocal operator. Moreover, a combination of the fractional and classical Laplacian operators is used to obtain a better description of the phenomenological response in elasticity. We consider models with linear and nonlinear perturbations. In the linear case, we prove the existence and uniqueness of the solution, while in the nonlinear case the existence of at least two nontrivial solutions of opposite sign is proved. The linear and nonlinear problems are also solved by a numerical approach which estimates the regional fractional Laplacian by means of its singular integral representation. In both cases, a numerical estimation of the solutions is obtained, using in the nonlinear case an approach involving a random variation of an initial guess of the solution. Moreover, in the linear case a parametric analysis is made in order to study the effects of the parameters involved in the model, such as the order of the fractional Laplacian and the mixture law between local and nonlocal behavior.



    Dedicated to the 50th birthday of Professor Giuseppe Mingione, with high feelings of admiration for his notable contributions in Mathematics and great affection.

    The last decades have seen an evolution in scientific understanding and human capabilities concerning new isolated nanoparticles set up into hybrid composite materials, not ordinarily found in nature, whose properties are specifically planned and controlled not only by the constituent phases, but also by their morphology, spatial anisotropy and relative proximity with respect to one other and the host matrix. The worldwide scientific focus on hybrid systems, based on synthetic or natural polymers combined with metal, ceramic or carbon nanosctructures, represents a truly revolutionary change in the society way of thinking and allows us to create high–performance materials, underpinning the development of previously unrealizable applications. Further details can be found in [1] and its references. Indeed, in [1] nonlocal problems have been investigated, with the aim of describing the elastic behavior of complex structures composed by two or more different phases having extremely efficient mechanical features, to employ in a wide range of fields as civil engineering and architecture. The insurgence of nonlocality in composites made of several layer of alternating stiff and soft phases as been shown in [17].

    The analysis of a nonlocal elastic medium has been recently tackled with the tools of fractional calculus, which essentially are based on a fractional gradient elasticity model. By means of fractional operators, it is possible to associate a mechanical model to the equation involving fractional terms, consisting of points connected not only to adjacent ones but also to all the others by springs: the springs themselves have stiffness which decrease with the distance according to a power–law.

    The mixed problem discussed in this paper involves in its nonlocal part the so called peridynamics, which is a nonlocal continuum model in solid mechanics introduced by Silling [18]; we refer to [4,5,6] for a detailed discussion. The main difference with the usual Cauchy–Green elasticity relies on the nonlocality, which is reflected in the fact that points separated by a positive distance exert a force upon each other. Mathematically, deformations are not assumed to be weakly differentiable, in contrast with classical continuum mechanics, and in particular hyperelasticity, where they are required to be Sobolev. This makes peridynamics a suitable framework for problems where discontinuities appear naturally, such as fractures, dislocations, or, in general, multiscale materials.

    In particular, the balance equation for a one-dimensional solid (a rod) in classical (local) mechanics is given by

    σ(x)+f(x)=0

    where σ is the stress, f are distributed forces possibly depending on x and denotes first derivative. The constitutive elastic law for the rod affirms that

    σ(x)=Eε(x)

    where E is the modulus of elasticity and ε is the deformation, related to the displacements u by the compatibility law

    ε(x)=u(x)

    Therefore, in classical local mechanics we have

    EΔu(x)+f(x)=0

    where Δ is the Laplacian. In [9] Eringen considered the stress depending on the strain not only locally but also on the strain in all the point along the rod length L, introducing the following constitutive law

    σ(x)=LEα(|xy|)ε(y)dy

    where α is a weight (kernel) function that assess the influence of the strain in distance points to the stress. Anyway, this approach still requires the differentiation in the equation of motion, as highlighted by Silling [18], which could be a problem in the case of presence of discontinuities. Therefore, following the approach of Silling with which he introduced the peridynamics, where the equilibrium equation is written including a nonlocal operator Lu as in the following

    Lu(x,t)+f(x)=0withLu(x,t)=Lf(u(y,t)u(x,t),yx)dy,

    we assume that the peridynamic equation of motion in statics can be written as

    k(Δ)sLu(x)+f(x)=0

    where (Δ)sL is the regional fractional Laplacian which is a nonlocal operator (see later) and k is a suitable parameter. Anyway, since it has been found (see [20]) that in the case of composites with nonlocal behaviour it is better to consider two phases, a local one and a nonlocal one, the problem can be written as

    cΔu+k(Δ)sLu+V(x)u=f

    where c is a suitable parameter (equivalent to E in the purely local case) and V account for the possible presence of external linear spring forces. It is worth noting that the previous problem is similar to that which appears in preceding papers of some of the authors [2,3,10] but with a different operator, the fractional Laplacian defined in an unbounded domain, and with a different approach based on the original work of Eringen using fractional derivatives. The problem of the rod in a peridynamic context has been considered in literature (see for example [13,19]) but with a different approach. For the regularity properties of the solutions of mixed local and nonlocal problems we refer to the recent paper [8] by De Filippis and Mingione, as well as its wide bibliography.

    More specifically, the first problem we consider in details is linear and given by

    {cΔu+k(Δ)sΩu+V(x)u=f(x) in Ω0,u=0 in Ω1, (PL)

    where c,k>0 are physical coefficients and usually, but not in this paper, are supposed to satisfy the convex restriction c+k=1, the additional term V(x)u represents external springs whose stiffness is related to the position of the point along Ω0, and the nonnegative potential V is in L(Ω0), while f is a perturbation of class L2(Ω0). The operator

    (Δ)sΩφ(x)=Ωφ(x)φ(y)|xy|N+2sdyfor all φCc(Ω),

    is the so called regional fractional Laplacian. Throughout the paper we denote by B(x0,r) the open ball in RN of center x0 and radius r>0. When x0=0 we simply denote B(0,r) by Br.

    Here and in what follows ΩRN is a bounded domain, with smooth boundary Ω. Moreover, Ω is divided into two parts, that is Ω=Ω0Ω1, where Ω0 is an open set, with smooth boundary Ω0 and Ω0Ω1=. Furthermore, the open enlargement Ωδ=Ω0+Bδ, for a suitable small radius δ>0, is assumed to be a subset of Ω. In this way, the remaining set Ω1Ω0 and Ω1 can be seen as the nonlocal boundary of Ω, see Figure 1.

    Figure 1.  Description of Ω, Ω0 and Ωδ.

    In the present paper we first interpret the problem (PL) which models the behavior of an elastic body, with a linear peridynamical approach, and enrich it with additional terms in order to widen its mechanical meaning and give the conditions under which one unique solution exists. Then we prove multiplicity results for the nonlinear version of (PL), namely for problem

    {cΔu+k(Δ)sΩu+V(x)u=f(x,u) in Ω0,u=0 in Ω1. (PN)

    Finally, we treat (PL) and (PN) also numerically, estimating the regional fractional Laplacian by means of its singular integral representation. For both problems, a numerical estimation of the solutions is obtained, using in the nonlinear case an approach involving a random variation of an initial guess of the solution. Moreover, in the linear case a parametric analysis is made in order to study the effects of the parameters involved in the model, with a particular emphasis on the order of the fractional Laplacian and on the mixture law between local and nonlocal behavior.

    Let Ω, Ω0, Ω1 and Ωδ be as stated in the Introduction. The natural solution functional space associated to (PL) is

    Hs0,Ω={uH10(Ω0)Hs0(Ω):u=0 a.e. in Ω1},

    where H10(Ω0) is the completion of Cc(Ω0) with respect to the norm L2(Ω0) and Hs0(Ω) is the completion of Cc(Ω), with respect to the Gagliardo seminorm

    [u]2,Ω=(Ω×Ω|u(x)u(y)|2|xy|N+2sdxdy)1/2.

    The canonical Hilbertian norm on Hs0,Ω is

    |u|Hs0,Ω=(Ω0|u|2dx+Ω×Ω|u(x)u(y)|2|xy|N+2sdxdy)1/2=(u2L2(Ω0)+[u]22,Ω)1/2,

    which, since VL(Ω0), is equivalent to the Hilbertian norm

    uHs0,Ω=(Ω0V(x)|u|2dx+u2L2(Ω0)+[u]22,Ω)1/2=(u2L2(Ω0,V)+u2L2(Ω0)+[u]22,Ω)1/2,

    being

    |u|2Hs0,Ωu2Hs0,Ωmax{CPV,1}|u|2Hs0,Ω,

    where CP is the Poincaré constant. It is convenient for later purposes to endow Hs0,Ω, with the Hilbertian norm

    u=(u2L2(Ω0,V)+cu2L2(Ω0)+k[u]22,Ω)1/2,

    which is equivalent to Hs0,Ω, since c,k>0, being κuHs0,ΩuKuHs0,Ω for all uHs0,Ω, where κ=min{c,k,1} and K=max{c,k,1}.

    The first problem that we consider is

    {cΔu+k(Δ)sΩu+V(x)u=f(x) in Ω0,u=0 in Ω1, (PL)

    where c,k>0 and fL2(Ω0).

    Definition 3.1. We say that uHs0,Ω is a (weak) solution of problem (PL) if

    cΩ0uvdx+kΩ×Ω(u(x)u(y))(v(x)v(y)|xy|N+2sdxdy+Ω0V(x)uvdxΩ0f(x)vdx=0

    for every function vHs0,Ω. $

    In light of the variational structure of problem (PL), the critical points of the underlying C1 functional J:Hs0,ΩR, defined as

    J(u):=12u2Ω0f(x)udx,

    are exactly the (weak) solutions of (PL). Thanks to the linearity of (PL), existence and uniqueness are obtained by standard arguments.

    Proposition 3.1. Let fL2(Ω0) and s(0,1). Then there exists a unique solution uHs0,Ω of problem (PL). If f is nontrivial, then also the solution is nontrivial.

    Proof. First, it is easy to show that the functional J is coercive, since

    J(u)12u2f2,Ω0uu.

    Moreover, J is C1, strictly convex and coercive in the Hilbert space Hs0,Ω, so that the Weierstrass Theorem, see Corollary 3.23 of [7], the functional J has a global minimum in Hs0,Ω, which is also a critical point of J, and hence a solution of (PL).

    Uniqueness of solutions of (PL), that is uniqueness of critical points of J follows from the strict convexity of J. This completes the proof.

    This subsection deals with the nonlinear problem

    {cΔu+k(Δ)sΩu+V(x)u=f(x,u) in Ω0,u=0 in Ω1, (PN)

    where f:Ω0×RR is a Carathéodory function such that f(,0)=0 a.e. in Ω0. Let us introduce the notation 2 for the Sobolev exponent, that is

    2={2NN2if N>2,if N{1,2}, and its Hölder conjugate is (2)={2NN+2if N>2,1if N{1,2}.

    In addition, we assume the following conditions coming from [16], as improvements of those in [15] and [12]:

    (f1) there exist aLq(Ω0), bL(Ω0), with a0, b>0 and q((2),2), and r(2,2) such that

    |f(x,t)|a(x)+b(x)|t|r1fora.e.xΩ0andforalltR;

    (f2) limt±F(x,t)|t|2= uniformly for a.e. xΩ0, where F(x,t)=t0f(x,τ)dτ;

    (f3) there exist θ1 and βL1(Ω0), β0, such that

    σ(x,t1)θσ(x,t2)+β(x)fora.e.xΩ0andall0t1t2ort2t10,

    where σ(x,t)=f(x,t)t2F(x,t) in Ω0×R;

    (f4) limt0f(x,t)|t|=0 uniformly for a.e. xΩ0.

    Remark 3.1. An example of a function satisfying conditions (f1)(f4) is given by

    f(x,t)=b(x)tlog(1+|t|),

    with bL(Ω0) and b(x)>0 a.e. in Ω0. Clearly, f(x,0)=0 a.e. in Ω0, and (f1) is satisfied for N<6 as

    |f(x,t)|b(x)|u|2

    for a.e. xΩ0, recalling that log(1+|t|)|t| for every tR. To show the validity of (f2), we first compute

    F(x,t)=12b(x)(t2log(1+|t|)t22+|t|log(1+|t|)),

    then a simple computation of the limit is enough. Since

    σ(x,t)=b(x)(t22|t|+log(1+|t|)),

    it is easy to see that (f3) is satisfied for θ=1 and β=0. Finally, the computation of the limit shows that (f4) is satisfied.

    Definition 3.2. With the same assumption on f as above, we say that uHs0,Ω is a (weak) solution of problem (PN) if

    cΩ0uvdx+kΩ×Ω(u(x)u(y))(v(x)v(y)|xy|N+2sdxdy+Ω0V(x)uvdxΩ0f(x,u)vdx=0

    for every function vHs0,Ω.

    From this definition and from the variational nature of (PN), the critical points of the corresponding functional I:Hs0,ΩR, defined as

    I(u)=12u2Ω0F(x,u)dx,

    are exactly the (weak) solutions of (PN).

    Before proving the main existence theorem for (PN), let us give some preliminaries. It is useful to introduce the functionals

    I±(u)=12u2ΩF(x,u±)dx,

    where u+ and u are the classical positive part and negative part of u.

    Our aim is to prove that both I± satisfy the Cerami condition, (C) for short, which states that any sequence (un)n in Hs0,Ω such that (I±(un))n is bounded and (1+un)I±(un)0 as n admits a convergent subsequence.

    Proposition 3.2. Under assumptions (f1)(f3), the functionals I± satisfy the (C) condition.

    Proof. We give the proof for I+, the proof for I being analogous.

    Let (un)n in Hs0,Ω be such that

    |I+(un)|M1 (3.1)

    for some M1>0 and all n, and

    (1+un)I+(un)0 in (Hs0,Ω) as n. (3.2)

    From (3.2) we have

    |I+(un)h|εnh1+un

    for every hHs0,Ω, where εn0 as n. That is,

    |cΩ0unhdx+kΩ×Ω(un(x)un(y))(h(x)h(y))|xy|N+2sdxdy+Ω0V(x)unhdxΩ0f(x,u+n)hdx|εnh1+un. (3.3)

    Taking h=un in (3.3), we get for all n

    |cΩ0|un|2dx+kΩ×Ω(un(x)un(y))(un(x)un(y))|xy|N+2sdxdy+Ω0V(x)|un|2dx|εn (3.4)

    Since

    |un(x)un(y)|2(un(x)un(y))(un(x)un(y)),

    we get

    unεn,

    and so

    un0 in (Hs0,Ω) as n. (3.5)

    Now, taking h=u+n in (3.3), we obtain

    cΩ0|u+n|2dxkΩ×Ω(un(x)un(y))(u+n(x)u+n(y))|xy|N+2sdxdyΩ0V(x)|u+n|2dx+Ω0f(x,u+n)u+ndxεn. (3.6)

    From (3.1) we have

    cΩ0|un|2dx+kΩ×Ω|un(x)un(y)|2|xy|N+2sdxdy+Ω0V(x)|un(x)|2dx2Ω0F(x,u+n)dx2M1

    for M1>0 and all n. Hence, together with (3.4), this leads to

    cΩ0|u+n|2dx+kΩ×Ω(un(x)un(y))(u+n(x)u+n(y))|xy|N+2sdxdy+Ω0V(x)|u+n|2dx2Ω0F(x,u+n)dxM2 (3.7)

    for some M2>0 and all n. Adding (3.6) to (3.7), we obtain

    Ω0f(x,u+n)u+ndx2Ω0F(x,u+n)dxM3

    for some M3>0 and all n, that is

    Ω0σ(x,u+n)dxM3. (3.8)

    To prove that (u+n)n is bounded in Hs0,Ω, we argue by contradiction. Passing to a subsequence if necessary, we assume that u+n as n and that for some v0

    vnv in Hs0,Ω and vnv in Lq(Ω0),vn=u+n/u+n, (3.9)

    for every q(2,2s).

    First, we deal with the case v0. We define the set

    Z(v)={xΩ0:v(x)=0},

    so that |Ω0Z(v)|>0 and u+n for a.e. xΩ0Z(v) as n. By hypothesis (f2) we have

    limnF(x,u+n(x))u+n2=limnF(x,u+n(x))u+n(x)2vn(x)2=

    for almost every xΩ0Z(v). On the other hand, by Fatou's Lemma

    Ω0lim infnF(x,u+n(x))u+n2dxlim infnΩ0F(x,u+n(x))u+n2dx,

    which leads to

    limnΩ0F(x,u+n(x))u+n2dx=. (3.10)

    From (3.1) we have

    12un2+Ω0F(x,u+n(x))dxM4

    for some M4>0 and all n. Recalling that un22(u+n2+un2), from (3.5) we obtain

    u+n2+Ω0F(x,u+n(x))dxM5

    for some M5>0. Dividing by u+n2,

    1+Ω0F(x,u+n(x))u+n2dxM5u+n2.

    Passing to the limit, we get

    lim supnΩ0F(x,u+n(x))u+n2dxM6

    for some M6>0. This contradicts (3.10), and concludes the case v0.

    Now we deal with the case v0. We consider the continuous functions γn:[0,1]R, defined as γn(t)=I+(tu+n), with all t[0,1] and all n. Thus, we can define tn such that

    γn(tn)=maxt[0,1]γn(t). (3.11)

    Now we define wn=(2λ)12vnHs0,Ω for λ>0. From (3.9), wn0 in Lq(Ω0) for all q(2,2s). Performing some integration from (f1) we have

    Ω0F(x,wn(x))dxΩ0a(x)|wn(x)|dx+CΩ0|wn(x)|rdx,

    which implies

    limnΩ0F(x,wn(x))dx=0. (3.12)

    Since u+n, there exists n0 such that (2λ)12/u+n(0,1) for all nn0. Then, from (3.11),

    γn(tn)γn((2λ)12u+n)

    for all nn0. Thus,

    I+(tnu+n)I+((2λ)12vn)=λvn2Ω0F(x,wn(x))dx.

    Then (3.12) implies that

    I+(tnu+n)λvn2+o(1),

    and since λ is arbitrary we have

    limnI+(tnu+n)=. (3.13)

    Clearly, 0tnu+nu+n for all n, so that from (f3) we know that

    Ω0σ(x,tnu+n)dxθΩ0σ(x,u+n)dx+β1 (3.14)

    for all n. Clearly, I+(0)=0. In addition, (3.1) and (3.4) imply that I+(u+n)M7 for some M7>0. Together with (3.13) this implies that tn(0,1) for all nn1n0. Since tn is a maximum point, we get

    0=tnγn(tn)=kΩ×Ω(tnun(x)tnun(y))(tnu+n(x)tnu+n(y))|xy|N+2sdxdy+cΩ0|tnu+n|2dx+Ω0V(x)|tnu+n|2dxΩ0f(x,tnu+n)tnu+ndx,

    and recalling that

    |tnu+n(x)tnu+n(y))|2(tnun(x)tnun(y))(tnu+n(x)tnu+n(y)),

    we have

    tnu+n2Ω0f(x,tnu+n)tnu+ndx0. (3.15)

    Adding (3.15) to (3.14), we obtain

    tnu+n22Ω0F(x,tnu+n)dxθΩ0σ(x,u+n)dx+β1,

    that is

    2I+(tnu+n)θΩ0σ(x,u+n)dx+β1.

    Hence, (3.13) implies that

    limnΩ0σ(x,u+n)dx=. (3.16)

    Combining (3.8) and (3.16) we obtain the contradiction, which concludes the case v0.

    In conclusion, (u+n)n is bounded in Hs0,Ω, and (3.5) gives that (un)n is bounded in Hs0,Ω. Hence, upto a subsequence, if necessary, there exists uHs0,Ω such that

    unu in Hs0,Ω and unu in Lq(Ω0),q(2,2s). (3.17)

    Taking h=unu in (3.3), we have

    un2cΩ0unudxkΩ×Ω(un(x)un(y))(u(x)u(y))|xy|N+2sdxdyΩ0V(x)unudxΩ0f(x,u+n)(unu)dxεn (3.18)

    From (f1) and (3.17) we know that

    limnΩ0|f(x,u+n)(unu)|dx=0.

    Passing to the limit in (3.18) we obtain

    limn(un2kΩ×Ω(un(x)un(y))(u(x)u(y))|xy|N+2sdxdycΩ0unudxΩ0V(x)unudx)=0.

    This implies that unu, so that unu in Hs0,Ω. Then I+ satisfies the (C) condition, which concludes the proof.

    We are now able to give the proof of the main existence theorem for (PN).

    Theorem 3.3. If (f1)(f4) hold, then problem (PN) admits at least two nontrivial constant sign solutions.

    Proof. Let us apply the Mountain Pass Theorem to I+. From Proposition 3.2 we know that I+ satisfies the (C) condition, so that we only have to verify the geometric conditions.

    From (f1) and (f4), for every ε>0 there exists Cε such that

    F(x,t)ε2|t|2+Cε|t|r

    for a.e. xΩ0 and all tR. Then

    I+(u)=12u2Ω0F(x,u+)dx12u2ε2u22Cεurr1εC12u2C2urr.

    From this we kwon that, if u=ρ is small enough,

    infu=ρI+(u)>0.

    Now, let uHs0,Ω be positive in Ω0 and let t>0. Then

    I+(u)=t22u2Ω0F(x,tu)dx=t22u2t2Ω0F(x,tu)|tu|2u2dx.

    By Fatou's Lemma

    Ω0lim inftF(x,tu)|tu|2u2dxlim inftΩ0F(x,tu)|tu|2u2dx,

    so that (f2) implies that

    limtΩ0F(x,tu)|tu|2u2dx=.

    Consequently,

    limtI+(tu)=.

    Therefore, there exists eHs0,Ω such that e>ρ and I+(e)<0.

    Now, thanks to Proposition 3.2 and the Mountain Pass Theorem, the functional I+ possesses a nontrivial critical point u at the minimax level

    c=infγΓsupt[0,1]I+(γ(t))ρ>0,Γ={γC([0,1],Hs0,Ω):γ(0)=0,γ(1)=e}.

    In particular, u is a nontrivial solution of (PN) and, taking v=uHs0,Ω as test function

    0=cΩ0|u|2dx+kΩ×Ω(u(x)u(y))(u(x)u(y))|xy|N+2sdxdy+Ω0V(x)|u|2dxΩ0f(x,u+)udx=cΩ0|u|2dx+kΩ×Ω(u(x)u(y))(u(x)u(y))|xy|N+2sdxdy+Ω0V(x)|u|2dx.

    Recalling that

    |u(x)u(y)|2(u(x)u(y))(u(x)u(y))

    we obtain

    0u2,

    and so u0. Hence, I+(u)=I(u). This gives at once that u0 is a nontrivial solution of (PN).

    Arguing in the same way for I, we find a second nontrivial nonpositive solution of (PN).

    For an arbitrary function f it could be not simple to find a closed-form solution for the problems (PL) and (PN), therefore we resort to find a numerical approximation of the solution itself.

    In particular, if the domain Ω0Ω1 is the interval (L,L) and Ω0 is (L0,L0), we discretize it in a finite number, n, of points denoted as xi with i=0,2,,n1, as shown in Figure 2. we have that

    xi=L+ih,i=0,1,,n1,
    Figure 2.  Discretized interval.

    with

    h=2Ln1

    The corresponding value of u in the points xi will be denoted ui=u(xi).

    The Laplacian Δu is approximated by means of the central difference formula

    (Δu)i=ui+12ui+ui1h2.

    in all the points except when i=0 and i=n1 forward difference and backward difference formulas, respectively, are used.

    In order to approximate (Δ)sΩu, the approach proposed in [11] is used. We recall that, in the present case

    (Δ)sΩu(x)=C1,2sLLu(x)u(y)|xy|1+2sdy,

    with

    C1,2s=2s22s1Γ(2s+12)π1/2Γ(22s2).

    The idea of the approach is to split the integral over Ω in two contributions, the first is the sum of the integrals in the intervals (L,xih) and (xi+h,L) and the second is the (improper) integral in the interval (xih,xi+h) which contains the singularity.

    (Δ)sΩu(xi)=C1,2s[xihLu(xi)u(y)(xiy)1+2sdy+Lxi+hu(xi)u(y)(yxi)1+2sdy]+C1,2sxi+hxihu(xi)u(y)|xiy|1+2sdy=C1,2s[xi(L)hu(xi)u(xit)t1+2sdt+Lxihu(xi)u(xi+t)t1+2sdt]+C1,2shhu(xi)u(xit)|t|1+2sdt

    For the second contribution, we use the result in Section 2.2 of [11] and therefore

    C1,2shhu(xi)u(xit)|t|1+2sdt=C1,2su(xi+h)2u(xi)+u(xi+h)(22s)h2s

    For the first contribution, as suggested in [11] an exact integration is made using the following interpolant of the terms u(xi)u(xiy):

    u(xi)u(xi±t)=jN[u(xi)u(xi±j)]Th(txj)

    with

    Th(t)={1|t|h|t|h,0otherwise

    Combining the two contributions, the regional Fractional Laplacian can be evaluated numerically as

    (Δ)sΩui=ij=1(uiuij)wj+n1ij=1(uiui+j)wj,

    with

    wj=h2s{C1,2s22sF(1)+F(2)F(1,)j=1,F(j+1)2F(j)+F(j1),j=2,3,

    where

    F(t)={C1,2s(2s1)2s|t|12s,2s1,C1,2slog|t|,2s=1.

    The function F is such that

    F(t)=C1,2s1|t|1+2s

    The discretized form of (PL) is therefore

    {c(Δu)i+k((Δ)sΩu)i+ui=fi for i=j,j+1,,kui=0 for i=0,1,,j,k,k+1,,n1,

    where the points in Ω0 are xi, with i=j,j+1,,k.

    Now the problem is to find the values of ui for each i in order to find the zeros of the following function g expressed in discretized form

    g(xi)={c(Δu)i+k((Δ)sΩu)i+uifi for i=j,j+1,,kui for i=0,1,,j,k,k+1,,n1

    This problem can be solved numerically. In particular, we use the Python programming language and its procedure "solve", based on the Powell hybrid method, as implemented in MINPACK, see [14].

    The following values have been taken:

    c=15000N/mm2,κ=15000N/mm42s,s=0.75,L=100mm,L0=80mm.

    The value of κ is chosen so that for s=1 the contribution due to the ordinary Laplacian and the regional Fractional Lapalacian are equal, with c equal to the half of modulus of elasticity of the material.

    The first case studied consist in a rod loaded by two forces in opposite direction symmetrically with respect to the midspan, as shown in Figure 3.

    Figure 3.  Rod loaded by two forces in opposite direction symmetrically with respect to the midspan.

    The response of the rod when d=±2mm and magnitude F0=1000N is shown in Figure 4.

    Figure 4.  Response of the rod under two opposite forces: left, displacements in all the rod; right, displacement near x=d.

    The effect of the variation of the step h is shown, and it can be appreciated that even for quite large values of h the solution is sufficiently accurate.

    It is interesting to note that for s1 the purely local response is obtained, as shown in Figure 5.

    Figure 5.  Response of the rod under two opposite forces in the purely local case.

    In this case, the displacements are linear in each interval (L0,d), (d,d) and (d,L0) and the maximum displacement for x=d is given by

    u(d)=F0dc+κF0d2(c+κ)L0.

    With the value recalled before, this gives u(d)=0.065mm, as obtained numerically.

    Subsequently, we study the response of the rod under the effect of a distributed load f given by the following expression

    f(x)=f0e(x22(L016)2)

    as shown in Figure 6.

    Figure 6.  Rod under the effect of a distributed load f(x).

    The results are shown in Figure 7.

    Figure 7.  Response of the rod under a distributed load: left, displacements in all the rod; right, displacement near the midspan.

    Again, the effect of various values of h is shown and the same considerations as before are valid.

    A parametric analysis is performed to show the effect of the variation of mechanical parameters on the response.

    At first the values of c and κ are varied according to the following rules:

    c=β130000N/mm2κ=2β2kcos(sπ)withk=0.530000N/mm42s,

    with β1+β2=1. The values of β1 and β2 can be though of as the weight of the contribution of the local and nonlocal behavior respectively. For β1=β2=0.5 the preceding case is recovered.

    The results are shown in Figure 8.

    Figure 8.  Effect of variation of the relative local and nonlocal contribution to the response.

    As can be appreciated, as the value of β1 increases, the behavior approximates that of a purely local material, as expected. Moreover, the variation of the maximum displacement with β1 is no monotonic, having and initial decrement followed by a successive pronounced increment.

    The values of s vary in the interval (0.5,1) and produce the results shown in Figure 9.

    Figure 9.  Effect of the order s of the regional fractional Laplacian on the response.

    Also in this case a non-monotonic variation of the displacement with respect to s can be appreciated. Subsequently, the effect of the contribution of V(x)u is analyzed. The results are shown in Figure 10.

    Figure 10.  Effect of the presence of external spring forces (V is expressed in N/mm4).

    The same mechanical parameters of the linear case have been assumed. In this case, we choose a non symmetric function

    f(x,u)=(|x+1|+1)ulog(1+|u|).

    Anyway, in the nonlinear case, we note that the trivial function u0 is always a solution of the problem.

    In order to find a different non-trivial solution, the numerical procedure starts with an initial guess u0 which, in the applications, we assume as

    u0(x)=δ1sin(2πL0x)+δ2W(x),

    where W is a function which gives Gaussian white noise.

    The effect of the initial guess in retrieving the non-trivial solution is shown in Figure 11, where the blue curve (the trivial solution) was obtained with δ1=1mm and δ2=0.1mm, while the orange curve (the nontrivial solution) was obtained with δ1=0mm and δ2=0.1mm.

    Figure 11.  Trivial (blue solid line) and nontrivial (orange solid line) solutions for the nonlinear case; the initial guesses are shown in dashed lines.

    It is worth noting that W is different in the two curves since they are from two different random generation.

    The effect of different values of s is highlighted in Figure 12.

    Figure 12.  Effect of s on the solution of the nonlinear problem.

    Moreover, since we know that at least two different solutions exist, we give an estimation of these solutions in Figure 13. The solutions were obtained using a suitable choice of u0, in particular the blue curve was obtained with δ1=1mm and δ2=0.1mm, while the orange curve was obtained with δ1=1mm and δ2=0.1mm.

    Figure 13.  Two different (nontrivial) solutions for the nonlinear problem; the initial guesses are shown in dashed lines.

    F. Cluni, V. Gusella and E. Proietti Lippi were partly supported by the Italian Ministry for University and Research within P.R.I.N. National Grant 2017, Project title "Modelling of constitutive laws for traditional and innovative building materials", Project code 2017HFPKZY; University of Perugia Research Unit.

    D. Mugnai, E. Proietti Lippi and P. Pucci are members of the Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM). D. Mugnai and E. Proietti Lippi were partly supported by the INdAM – GNAMPA Project PDE ellittiche a diffusione mista (CUP_E55F22000270001). P. Pucci was partly supported by the INdAM – GNAMPA Project Equazioni alle derivate parziali: problemi e modelli (Prot_U-UFMBAZ-2020-000761).

    Finally, D. Mugnai was also partly supported by FFABR Fondo per il finanziamento delle attività base di ricerca 2017 and by the HORIZON_EU_DM737 project 2022 COntrollability of PDEs in the Applied Sciences (COPS) at Tuscia University.

    All authors declare no conflicts of interest in this paper.



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