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1.2 Solid mechanics

2.1.2 Isogeometric mortar methods

In this section, we set the geometry decomposition with the functional frame-work. Then we discuss the requirements on the approximation spaces in order to have an optimal method.

2.1.2.1 Description of the computational domain

Let a decomposition of the domain Ω into K non-overlapping domains Ωk be given:

Ω = [K

k=1

k, and Ωi∩Ωj =∅, i6=j.

For 1 ≤ k1, k2K, k1 6= k2, we define the interface as the interior of the intersection of the boundaries, i.e., γk1k2 = k1k2, where γk1k2 is open.

Let the non-empty interfaces be enumerated by γl, l = 1, . . . , L. We define the skeleton Γ =SLl=1γlas the union of all interfaces. As with classical mortar methods, for each interface, one of the adjacent subdomains is chosen as the master side and one as the slave side. The slave side is used in the following to define the Lagrange multiplier space that enforces the coupling between the master and the slave side. We denote the index of the former by m(l), the index of the latter one by s(l), and thus γl =m(l)∂Ωs(l). Note that one subdomain can at the same time be classified as a master domain for one

interface and as a slave domain for another interface, see Figure 2.1. On the interface γl, we define the outward unit normal nl of the master side m(l)

and denote by ∂u/∂nl the normal derivative on γl from the master side.

n1

Figure 2.1: Geometrical conforming case (left) and slave conforming case (right).

Each subdomain Ωkis given as the image of the parametric spaceΩ = (0b ,1)d by one single NURBS parametrization Fk: Ωb →Ωk, see Section 2.1.1.3, which satisfies the Assumption 2.1.1. We assume that the decomposition represents the Dirichlet boundary in the sense, that the pull-back of k ∩ ΓD is ei-ther empty or the union of whole faces of the unit d-cube. The h-refinement procedure, see Sections 2.1.1.2 and 2.1.1.3, yields a family of meshes denoted Mk,h, with each mesh being a refinement of the initial one, where we require Assumption 2.1.2. Under these assumptions, the family of meshes is shape regular.

We furthermore assume that for each interface, the pull-back with respect to the slave domain is a whole face of the unit d-cube in the parametric space.

Under these assumptions, we are not necessarily in a geometrically conforming situation, but in a slave conforming situation, see Figure 2.1 (right). We are in a fully geometrically conforming situation, if we also assume that the pull-back with respect to the master domain is a whole face of the unit d-cube, see Figure 2.1 (left).

2.1.2.2 The variational problem

For each subdomain Ωk, we consider the space HD1(Ωk) and globally define the broken Sobolev spaces V = ΠKk=1HD1(Ωk), endowed with the broken norm kvk2V =PKk=1kvk2H1(Ωk), and M = ΠLl=1H−1/2l).

For the scalar model problem (1.2), we define the broken bilinear and linear formsa: V ×V →Rand f: V →R, such that

We assume that jumps of α and β are solely located at the skeleton, which is important for a reasonable approximation of the solution by the smooth splines.

2.1.2.3 Isogeometric mortar discretization

In the following, we set our discrete approximation spaces used in the mortar context. We introduceVk,h as the approximation space on Ωk by

Vk,h ={vk =vbkF−1kHD1(Ωk): vbkNpkk)},

which is defined on the knot vectorΞkof degreepk. We denote byhk the mesh size of Vk,h but note that we use the maximal mesh size h = maxkhk as the mesh parameter. In the following lemma, we recall the optimal approximation properties of NURBS spaces, see, e.g., [21, 23, 195].

Lemma 2.1.3. Given a quasi-uniform mesh and let r, s be such that they satisfy 0 ≤ rspk + 1. Then, there exists a constant c depending only on pk, θk, Fk and Wcweight,k, such that for any vHs(Ωk) there exists an approximation vhVk,h, such that

kv−vhkHr(Ωk)chs−rkvkHs(Ωk).

On Ω, we define the product space Vh = ΠKk=1Vk,hV, which forms an H1(Ω) non-conforming space as it is discontinuous over the interfaces.

The mortar method is based on a weak enforcement of continuity across the interfacesγl in broken Sobolev spaces. Let a space of discrete Lagrange multi-pliersMl,hL2(γl) on each interface γl be given, which are built on the slave mesh. On the skeleton Γ, we define the discrete product Lagrange multiplier space Mh as Mh = ΠLl=1Ml,h. Choices of different spaces are discussed in the next section. Furthermore, we define the discrete trace space with additional zero boundary conditions byWl,h={v|γl: vVs(l),h} ∩H01(γl).

One possibility for a mortar method is to specify the discrete weak formu-lation as a saddle point problem: Find (uh, λh)∈Vh×Mh, such that

a(uh, vh) +b(vh, λh) =f(vh), vhVh, (2.1a) b(uh, µh) = 0, µhMh, (2.1b) whereb(v, µ) = PLl=1Rγlµ[v]l dγ and [·]l denotes the jump from the master to the slave side overγl.

We note, that the Lagrange multiplier λh gives an approximation of the normal flux across the skeleton.

Remark 2.1.4. We note that the formulation for linear elasticity follows the same structure. With Vh = (Vh)d and Mh = (Mh)d, we consider the saddle point problem with the broken bilinear and linear forms of linear elasticity and a vectorial coupling condition:

a(u,v) = XK

k=1

Z

k

σ(u) :ε(v) dx, f(v) = XK

k=1

Z

k

bf>v dx+Z

ΓN∩∂Ωk

bt>v dγ, b(v,µ) =XL

l=1

Z

γl

µ>[v]l dγ.

Note that for linear elasticity, the normal stress σ(u)n is the normal flux, which is approximated by the Lagrange multiplier.

For convenience of notation we present the theoretical results for the scalar case, but note that they directly apply to the case of linear elasticity as well.

It is well-known from the theory of mixed and mortar methods, that the following abstract requirements guarantee the method to be well-posed and of optimal order, see [25, 32]. One is a uniform inf-sup stability of the discrete spaces and the second one an approximation requirement of the Lagrange multiplier. We remark that we denote by 0 < c < ∞ a generic constant that is independent of the mesh sizes but possibly depends on pk.

Although the primal variable of the saddle point problem is in a broken H1 space, the inf-sup stability can be formulated as an L2 stability over each interface. This implies the H001/2H−1/2 stability, which can be used in the geometrically conforming situation for d = 2 and in weighted L2 norms, for the other cases, see [35].

Assumption 2.1.5. For l = 1, . . . , L and any µlMl,h it holds sup

wl∈Wl,h

R

γlwlµl

kwlkL2l)clkL2l).

The second assumption is the approximation order of the dual space. Since for the dual space weaker norms are used, the approximation order of Ml,h with respect to the L2 norm can be smaller than the one of Wl,h.

Assumption 2.1.6. For l = 1, . . . , L there exists a fixed η(l), such that for any λHη(l)(γl) it holds

µl∈Minfl,hkλ−µlkL2l)c hη(l)kλkHη(l)l).

The following a priori estimates in the brokenV andM norms can be shown by standard techniques, see [27, 30].

Theorem 2.1.7. Given Assumptions 2.1.5 and 2.1.6, the following conver-gence is given for the primal solution of (2.1). For uHσ+1(Ω), with 1/2< σ≤mink,l(pk, η(l) + 1/2)it holds

1

h2ku−uhk2L2(Ω)+ku−uhk2Vc

K

X

k=1

hk kuk2Hσ+1(Ωk).

Also an estimate for the dual solution, approximating the normal flux, holds:

L

X

l=1

∂u

∂nl

λhk2H−1/2l)c

K

X

k=1

hk kuk2Hσ+1(Ωk).

In the geometrically non-conforming case, as well as for d= 3, the ratio of the mesh sizes on the master and the slave side enters in the a priori estimate, see [138], which does not play a role here due to Assumption 2.1.2.

Optimality of the mortar method holds, when η(l) = ps(l) − 1/2 can be chosen. Moreover, the dual estimate could still be improved under additional regularity assumptions, see [158].