- Practice · 5 marks
Lagrange and serendipity elements compared
Short answer
Lagrange elements have interior nodes and use tensor-product shape functions; serendipity elements have nodes only on boundary. Linear: both are the 4‑node bilinear. Quadratic: 9‑node Lagrange (terms 1,ξ,η,ξ²,ξη,η²,ξ²η,ξη²,ξ²η²) and 8‑node serendipity (same but omits ξ²η²).
Differentiate between Lagrange and serendipity families of two-dimensional elements. Name the elements of each family up to second order and list the polynomial terms of the 8-node and 9-node elements.
Both are higher-order rectangular (or quadrilateral) elements built on a - parent square ().
Comparison
| Point | Lagrange family | Serendipity family |
|---|---|---|
| Construction | Product of 1D Lagrange polynomials in and | Nodes only on the boundary; functions built by inspection/combination |
| Interior nodes | Present for order 2 and above | None |
| Linear element | 4-node bilinear | 4-node bilinear (same) |
| Quadratic element | 9-node (centre node) | 8-node (4 corners + 4 mid-sides) |
| Cubic element | 16-node (4 internal nodes) | 12-node |
| Polynomial terms | Contains all terms of the tensor product | Complete up to its order, but misses the highest tensor-product terms |
| Number of DOF | More, so more costly | Fewer, so cheaper |
| Accuracy | Slightly better, and less sensitive to element distortion | Nearly as good with fewer nodes; no internal node to condense |
9-node Lagrange 8-node serendipity
4--7--3 4--7--3
| | | |
8 9 6 8 6
| | | |
1--5--2 1--5--2
Polynomial terms (Pascal's triangle)
- 9-node Lagrange: .
- 8-node serendipity: the same list without .
The 9-node element is a complete biquadratic. The 8-node element is a complete quadratic with two additional cubic terms, and , which keep the polynomial symmetric.
The serendipity element is preferred in most practice because the interior node adds degrees of freedom but little accuracy.
✓ Answer checked by Claude Opus 5.5 (high effort)
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