Normal-normal continuous symmetric stress approximation in three-dimensional linear elasticity ††thanks: Supported by ANID-Chile through FONDECYT project 1230013
Abstract
We present a conforming setting for a mixed formulation of linear elasticity with symmetric stress that has normal-normal continuous components across faces of tetrahedral meshes. We provide a stress element for this formulation with degrees of freedom that correspond to standard boundary conditions. The resulting scheme converges quasi-optimally and is locking free. Numerical experiments illustrate the performance.
AMS Subject Classification: 65N30, 74G15, 74S05
1 Introduction and model problem
Adams & Cockburn [2] and Arnold et al. [4] presented and analyzed, with slightly different degrees of freedom, the first stable element for conforming stress approximations in 3D linear elasticity on tetrahedral meshes. It provides pointwise symmetric piecewise polynomial approximations of degree at least four with continuous normal components across faces. With its 162 degrees of freedom (plus displacement degrees) this element is prohibitively expensive for practical applications. Modifications and generalizations to arbitrary dimension and higher order have been proposed by Hu & Zhang, Hu [16, 15] and Chen & Huang [9]. The difficulty of constructing conforming elements with few degrees of freedom has been the reason for alternative developments, e.g., of discontinuous and non-conforming methods with weak symmetry. But the quest for cheap stable and conforming stress elements goes on, in particular on tetrahedra which provide important geometric flexibility. Hu and Zhang [17] proposed to use low-degree polynomial tensors enriched with edge and face related bubble polynomials to achieve stability, in this way reducing the degrees of freedom to . A variation of this approach and extension to arbitrary dimension is given in [18].
In this paper we present a pointwise symmetric tetrahedral element of quadratic polynomials with degrees of freedom (they can be reduced to by static condensation) and provide a variational framework that renders the element conforming. In geometrical terms our element leads to linear normal-normal components on faces that are continuous across elements. This approach goes back to the seminal TDNNS —tangential displacement and normal-normal stress continuous— method by Pechstein & Schöberl [21, 22, 23] that in turn transfers the Hellan–Herrmann–Johnson idea from plate bending to linear elasticity, cf. [12, 13, 20]. In [7] we presented a continuous and discrete framework for this setting in the case of plane elasticity with mixed approximation on triangular meshes. Its advantages are
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a low number of degrees of freedom related to
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physical degrees of freedom that allow for the
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treatment of any boundary condition that is physically relevant, and a
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variational framework that makes the element conforming.
Furthermore, it is
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provably stable and locking free.
This paper solves the critical open case of three-dimensional elasticity on tetrahedral elements. We stress the fact that all the advantages listed above remain valid in three dimensions. We expect that the existence of a conforming framework facilitates, for instance, the analysis of a posteriori error estimation. Perhaps more important is the fact that, differently from the previously mentioned -conforming methods, the degrees of freedom of our element avoid vertex values and edge moments of stresses. Such degrees do not relate to boundary conditions in engineering applications and are only well posed when making artificially high regularity assumptions.
In order not to be repetitive, we only briefly recall settings and cite proofs from [7], and also refer to [14] for general results on a hybrid framework. Instead, we focus on the new ingredients required for the three-dimensional setting. In particular, we restrict the analysis to homogeneous Dirichlet boundary conditions. The incorporation and analysis of general boundary conditions are similar to the two-dimensional situation treated in [7].
Model problem. We consider a bounded, polyhedral Lipschitz domain with boundary decomposed into non-intersecting relatively open pieces
Boundary conditions are of hard clamped (“”), soft clamped (“”), simply supported (“”) and traction (“” for stress free) types on the corresponding boundary pieces. Individual sets are either empty or unions of connected sets of positive measure, subject to the validity of Korn’s inequality. For the discretization it has to be assumed that the boundary pieces are conforming with respect to the faces of the tetrahedral elements, that is, interfaces between different boundary pieces do not cut faces.
The model problem of linear elasticity with general boundary conditions reads
(1) | ||||||||||
Here, and are the strain and identity tensors, respectively, and are the Lamé parameters. We assume that is fixed but allow for general , corresponding to an unrestricted Poisson ratio . For short, we write with elasticity tensor , and let be the compliance tensor. Furthermore, is the exterior unit normal vector on , and is the tangential trace on of vector fields . Boundary data have to be consistent with the existence of a function and tensor that satisfy (1) as appropriate traces. Note that are vector-valued and are scalar functions.
As mentioned before, our forthcoming variational formulation and mixed finite element discretization are compatible with the general boundary conditions (1). Only for ease of presentation will we restrict ourselves to homogeneous Dirichlet conditions, thus consider
(2) |
and refer to [7] for details concerning general boundary conditions.
Overview. The remainder is structured as follows. In Section 2 we introduce our notation for spaces and norms. At the center is the definition of skeleton trace spaces of tangential and normal displacements, their characterization (Propositions 1, 2) and density in the space of displacement traces (Proposition 4). The proof of the density result is based on a 3D version of Tartar’s result that says that the set of -functions with compact support that vanish in a neighborhood of a point are dense in . This is Proposition 3. Having these results at hand, we follow the canonical procedure from [7] to define the space of symmetric piecewise -tensors with normal-normal continuous traces on polyhedral meshes and a related displacement trace operator. Proposition 5 summarizes corresponding conformity and norm relations. We note that not all the results on the trace spaces are required to prove Proposition 5. We present them for their general relevance and possible future reference. Section 3 presents the mixed variational formulation of the model problem that defines the stress as an element of . Theorem 6 establishes its Poisson-ratio robust well-posedness. Section 4 is devoted to the discrete setting and analysis. In §4.1 we introduce the stress element and disclose its degrees of freedom. The corresponding conforming piecewise polynomial approximation space is the subject of §4.2, with approximation properties shown by Proposition 10. The resulting mixed finite element scheme is presented in §4.3, and shown to be locking free with expected convergence orders by Theorem 12. In Section 5 we present a numerical example that illustrates the locking-free convergence of our method.
Throughout, stands for with a generic constant that is independent of involved functions and mesh . Relation means that .
2 Analytical framework
In this section we introduce and analyze spaces and trace operators that provide the basis of our mixed formulation. The next subsection presents some notation and collects results for trace spaces of vector functions. In §2.2 we define the stress space of pointwise symmetric tensors with continuous normal-normal traces and establish duality relations with a trace space.
2.1 Notation, spaces and trace operators
For sub-domains and surfaces we use standard Lebesgue and Sobolev spaces () and () of -valued functions on with . Here, denotes the space of symmetric constant tensors. The generic -inner product and norm are and , respectively. For integer , denotes the standard norm in , except for and in which case with symmetric gradient . For non-integer , and denote the Sobolev-Slobodeckij norms and seminorms, cf. [1]. Given and , we need the space
with row-wise application of the divergence operator, and denote (identifying with ). The latter space is provided with the graph norm . We also need the topological dual of with norm . We generally drop index in the notation of norms and inner products when . The trace of a tensor is with identity tensor and Frobenius product “”; the deviatoric part of reads .
We consider a regular decomposition of into shape-regular tetrahedra and formally denote by its skeleton. We need the piecewise constant function with for . The set of faces of is , and the sets of all (resp. interior) faces is (resp. ). In the following, denotes the generic -duality on . Decomposition gives rise to product spaces, with corresponding notation where is replaced with , e.g., . Throughout, we identify functions of product spaces with piecewise defined functions. Mesh induces the canonical trace operator
with support on and trace space
Here, is the generic notation for dualities, . There is an inherent duality between and ,
(3) |
where is any element of the pre-image , .
Given the tangential and normal trace operators
we introduce their kernels and These are closed subspaces of and give rise to the trace spaces
(4) | ||||
which consist of normal and tangential vector functions on . To be more specific, let us introduce some further notation. For a function (, ) its traces on the boundary and faces are denoted by and , respectively. Restrictions of functions to subsets of are defined through their extensions, e.g., for with . We denote by the restriction onto of the subspace of functions that vanish on , , .
Proposition 1 ().
Any function satisfies if and only if , for all , and .
Proof.
Given , for all and imply . To see the other direction consider with . For a tetrahedron let denote its vertices with opposite faces (). The corresponding barycentric coordinates and normal vectors are and . Assuming that the tangential traces of on faces vanish we have to show that ().
It is enough to show that . We complement vector with two linearly independent vectors that are orthogonal to . There are constants , () such that
with , , that is, is a permutation of . In fact, since is a basis of , there are numbers such that (). Note that because by the linear independence of . It follows that , and (). We continue to select
and define . Since by assumption the tangential traces of on vanish, satisfies
and, because and ,
for by the orthogonality of and ( or in the sum above). We conclude that is a zero extension of to the other faces of , that is, . ∎
There is no corresponding characterization of as face-wise “-space”. To see this, consider a tetrahedron with vertices , faces opposite to , normal vectors on , and barycentric coordinates , . Let be a vector that is generated by the edge shared by and . Function satisfies , () and (), but its tangential component does not vanish on the shared edge. Therefore, cannot be continuously extended by zero onto in the trace space on , which would be an appropriate characterization of the “-property” that corresponds to the scalar case of normal components in just considered. However, the edge-normal components of tangential face-traces of functions from do have such a property. A proper definition requires more notation.
For a simplex with face let denote the exterior unit normal vector along that is normal to (a vector normal to ). For an edge of , is the restriction of to . We define as the subspace of functions such that, for every edge of shared with a different face , there exists a function with and . In other words, face-wise tangential traces have edge-normal components that, for every edge, can be continuously extended in by zero across the edge to the neighboring face (suggesting the “” index notation).
Proposition 2 ().
Any function satisfies if and only if , for all , and .
Proof.
The proof is similar to the proof of Proposition 1 and we merely discuss the non-trivial implication. Given , with , and , it is immediate that , and we have to show that for . Let be given with and common edge . For the corresponding normal vectors , there are such that . In fact, are linearly dependent because they are orthogonal to edge and . It follows that . Furthermore, and , that is, as wanted. ∎
We generalize the concept of “a point is too small” in two dimensions from Tartar [24, §17] to three dimensions. In two dimensions, it says that for is still dense in .
Consider a finite set of pairwise distinct, straight lines in , with , , and , . (Here, can be any bounded open set.) The set of lines is “too small”, in the following sense.
Proposition 3 (density).
The set is dense in .
Proof.
Without loss of generality we assume that (otherwise we scale ). Let and be given. We approximate in several steps.
1. Since is dense we find with .
2. Let us assume that in (for the other case see the end of the proof). We approximate separately the non-negative and non-positive parts and of . Note that , cf. [10, Theorem 4.4(iii)], and .
3. The function is a standard example of an unbounded -function on sufficiently small two-dimensional neighborhoods of the origin. We consider a parameter to be selected later, and define
with non-negative part . It is elementary that is monotonically increasing in , in , in , , and in ; is Euler’s number and means raised to the power . We continue to define
Transformation to cylindrical coordinates along reveals
() where we used that . We denote and conclude for that
(5) |
4. We define preliminary approximations of by on . They vanish in a neighborhood of , , satisfy and
Thus By the triangle inequality and the coarse bounds , (almost everywhere in ) we find with (5) that
because and as . Therefore, for some fixed, sufficiently small . By standard mollification of we find with .
A combination of steps 1–4 shows that satisfies and
This finishes the proof for the case . Otherwise we repeat steps 2 and 4 where is replaced with for , and where bound is reduced to . In particular, and satisfies and
∎
Proposition 4 (inclusion).
The inclusion
is dense. It is strict if there is a face that does not touch the boundary. Moreover, every satisfies
2.2 Normal-normal continuous stress space and dual trace operator
Duality (3) and normal trace space (4) provide us with the definition of a space of pointwise symmetric stresses with continuous normal-normal components across ,
It is a closed subspace of . The duality with this constrained space reduces the canonical trace operator to
It delivers tangential traces on interior faces and canonical traces on faces . The resulting trace spaces (the latter one including homogeneous Dirichlet data) are
It remains to specify norms. For an element of the product space we use the product norm . Trace space is endowed with the canonical trace norm
The following conformity and norm relations are essential to develop and analyze our mixed formulation of (2).
Proposition 5 (duality).
(i) Any satisfies
(ii) Any satisfies
Proof.
In two dimensions, statement (i) is [7, Lemma 5]. Its proof is based on a decomposition of (a dense subspace of) into normal and tangential trace spaces. Proposition 4 does provide such a decomposition in three dimensions and allows to apply the same technique as in [7]. For an abstract setting of this result see [14, Lemma 27]. Also statement (ii) is proved analogously to the two-dimensional case [7, Proposition 6], and for an abstract form (without the trace constraint for test functions), see [14, Lemma 26]. ∎
3 Mixed formulation
An application of trace operator and the conformity characterization given by Proposition 5(i) lead to the following mixed formulation of (2). Find , , and such that
(6a) | ||||
(6b) |
for any , , and .
We show its well-posedness.
Theorem 6 (well-posedness of mixed formulation).
Proof.
The proof uses the standard ingredients of mixed formulations, and is analogous to the two-dimensional case studied in [7, Theorem 10]. We recall the main steps and give some more details on the uniform stability.
We need the representation
(7) |
see, e.g., [5, (9.1.8)]. The selection of in (6a) and relation for show that . We conclude that formulation (6) is equivalent to the same system where is replaced with
We continue to analyze this formulation.
The bilinear and linear forms of (6) are uniformly bounded by the selection of norms. Inf-sup properties
and
hold by surjectivity of and Proposition 5(ii), respectively. The conformity relation of Proposition 5(i) and [6, Theorem 3.3] then show the required combined inf-sup relation
for any and .
For the uniform well-posedness of (6) it remains to verify the uniform coercivity of bilinear form on the kernel
The latter identity is due to Proposition 5(i). Critical is the bound
for a constant , see [8, Theorem 1]. The uniform coercivity of on then follows from (7). The fact that and solve (2) is immediate, and holds by (6a) and the definition of . ∎
4 Finite element approximation
Let us introduce some polynomial related notation. For and we denote by the space of polynomials of degree on with values in . The piecewise polynomial spaces are . We drop when .
4.1 An element
Let be a tetrahedron with vertices , barycentric coordinates , faces opposite to , and unit exterior normal vectors on (we also employ the generic notation ), and denote , . We also need unit vectors (in a certain direction) generated by the edges , . All these simplex-related objects are numbered modulus , e.g., . We abbreviate for vectors .
The construction of our -element is based upon the constant tensors
which from a basis of (as seen below in Lemma 7), and the polynomial tensor spaces
Remark. The construction of is such that , , that is, the image of mapping is the plane through the origin that is parallel to face . Furthermore, for , , and we will see that for .
Our finite element on the tetrahedron is the vector space
(8) |
and the following degrees of freedom,
(9a) | |||||
(9b) | |||||
(9c) |
The proof that (,,(9)) is a finite element requires some preparation.
Lemma 7.
We have
Proof.
We start by proving that is a basis of . Since and , , it suffices to show that the tensors are linearly independent.
For every , at least one of the two vectors and is tangential to the faces for . Furthermore, both vectors are not tangential to . Consequently
Therefore, tensors are well defined and satisfy
On the other hand, for each face , one of the vectors and one of the vectors is tangential to . This implies that
It follows that are linearly independent, and thus form a basis of , if and are linearly independent. The latter is true because
The splitting of then holds by definition of the two subspaces. ∎
We use a transformation of to a reference tetrahedron to show that (9) are degrees of freedom of . We consider the tetrahedron with vertices , , , , and let denote the affine diffeomorphism
with , , and set . We use the generic notation for exterior normal vectors on faces . Tensors and vector functions are transformed onto elements as , and , where
These are re-scaled Piola–Kirchhoff and Piola transformations. They conserve the properties of space and degrees of freedom (9), as seen next.
Lemma 8.
Let and be given with .
(i) Property holds if and only if .
(ii) For , , , and let , , , and be the transformed objects with , , , and . Then,
Proof.
A proof of statement (ii) is analogous to that of the two-dimensional case on triangles, see [7, Lemma 13]. Statement (i) is consequence of relations (ii). In fact, the Piola–Kirchhoff transformation and its inverse conserve the space of symmetric polynomial tensor functions of a fixed degree. The conservation of the moments of the normal-normal traces implies that is a bijective mapping between and , and between and . It also means that the normal-normal traces of on faces are linear polynomials if and only if this applies to the normal-normal traces of on . This finishes the proof. ∎
Proposition 9 (degrees of freedom).
For a tetrahedron relations , hold, and (9) are degrees of freedom of for a finite element in the sense of Ciarlet.
Proof.
The first relation follows from of Lemma 7 and the fact that and are subsets of by construction.
Dimension. By definition of ,
has dimension . Since for , the constraint requires to select the subspaces
for , each of dimension . Summing the dimensions gives times plus the dimension of in (8).
Degrees of freedom. By Lemma 8, (9) are degrees of freedom of for a general tetrahedron if and only if they are degrees of freedom for the reference tetrahedron . In the remainder of this proof we therefore assume without loss of generality that . We need this assumption only in the final step to verify the invertibility of a -matrix. The number of functionals in (9) is : 12 in (9a), 6 in (9b), and 12 in (9c). It is therefore enough to show the linear independence of (9) on .
Linear independence. Let be given with vanishing functionals (9). We have to show that . The vanishing of (9a) leads to
Since
for we deduce the representation
The vanishing of degrees of freedom (9b) means
so that, by the linear independence of ,
We conclude that
(10) |
In the following we represent and calculate for (recall that ). Representation (10) and the vanishing of (9c) reveal that
(11) |
These equations form a homogeneous linear system of equations for the unknowns , . Instead of unknowns we use the scaled unknowns for and order the equations with respect to and the unknowns with inner loop over and outer loop over , namely
Denoting , the corresponding matrix of system (4.1) becomes
It remains to incorporate the relations for from (10). We note that , see, e.g., [25, Theorem 3.1], and recall the representation . We find that holds if and only if
We use this relation to eliminate the unknowns for . With the notation the reduced matrix reads
(12) |
The proof of the lemma is finished by noting that this matrix is invertible. Let us give the details.
Recall that we are considering the reference tetrahedron with the previously introduced numbering of vertices. In particular,
and selecting the edge vectors
we calculate
This gives (note that )
and matrix (12) reads
A lengthy calculation shows that its determinant is . This finishes the proof. ∎
4.2 Approximation space
Elements () from (8) generate the product space that gives rise to the -conforming finite element space
Here, denotes the normal-normal jump of across . Equivalently, this conformity is achieved by the selection of unique degrees of freedom (9a) assigned to interior faces . By also assigning volume-related degrees of freedom (9b), (9c) we obtain an interpolation operator
In the following, is the piecewise divergence operator and denotes the -projection onto piecewise linear vector-valued polynomials.
Proposition 10 (interpolation).
Operator is well defined and bounded for . It commutes with the piecewise divergence operator, and has the projection property for . Given , , any satisfies
with intrinsic constants independent of and .
Proof.
The proof is almost verbatim to the proof of the two-dimensional case [7, Proposition 17]. We only have to verify that the face degrees of freedom are bounded functionals for if , and to recall that for and by the Sobolev embedding theorem [1, Theorem 7.57]. The former fact can be proved analogously to [3, Lemma 4.7]. Essential step in the proof of that lemma is the continuity of the extension by zero from the Sobolev space on an edge of a face to where . This zero extension is also continuous as a mapping from to where and , cf. [11, Corollary 1.4.4.5], and thus gives the result. ∎
The next result can be shown analogously to [7, Lemma 20].
Lemma 11.
Any with
satisfies
with a constant that is independent of and .
4.3 Finite element scheme and locking-free convergence
Let be the space of continuous, piecewise linear vector-valued functions that vanish on . We select the discrete trace space Given , our mixed finite element scheme seeks , , and such that
(13a) | ||||
(13b) |
for any , , and .
This scheme is locking free and converges quasi-optimally.
Theorem 12 (locking-free convergence).
For given let denote the solution to (6). Mixed scheme (13) has a unique solution . It satisfies
with a hidden constant that is independent of and .
Let us furthermore assume that and for fixed , , and that there is a regularity shift with
(inversion subject to the homogeneous Dirichlet condition) for a constant that is independent of and . Then the estimates
(14) | ||||
hold with intrinsic constants that are independent of and .
Proof.
The proof is analogous to the proofs of Theorems 21 (quasi-optimal convergence) and 22 (approximation orders) in [7]. To this end we note that, for homogeneous Dirichlet data, the condition with for a Dirichlet extension in [7, Theorem 21] is obsolete and that the tensors appearing in [7, Theorem 22] vanish, cf. definitions (9) and (28) there. Specifically, Lemma 11 is critical for the robust stability of the discrete scheme and, having established the quasi-optimal convergence, error estimate (14) is consequence of Proposition 10. ∎
5 Numerical experiments
We use and consider Dirichlet boundary conditions everywhere given by the manufactured displacement
and select where . We choose Young’s modulus and different values of . The Lamé parameters are and .
We use quasi-uniform meshes and plot the individual approximation errors (“u”), (“strain”), (“sigma”), and (“div sigma”), normalized by the norm of the exact solution . Here, is the piecewise linear interpolation of the continuous, piecewise linear trace approximation . Note that is, up to the part , an upper bound of . The right-hand side functional is approximated by a 4-point Gauss formula (integrating quadratic polynomials exactly), and the errors are calculated by a 14-point Gauss formula (an overkill to be close to the exact errors), cf. [19]. The non-homogeneous Dirichlet boundary condition is approximated by assigning the corresponding vertex values to trace approximation .
Figure 1(a) shows the results for , and confirms the approximation orders with respect to proved by Theorem 12: for the stress and trace approximations, and for the approximations of the displacement and the divergence of the stress.
The sequence of results for shown in Figure 1 confirms that our scheme is locking free. (The fact that some relative errors are initially smaller for larger values of does not contradict this.) Note that and
that is, and are unbounded as while is bounded.




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