Test page with index 1

From KratosWiki

(Difference between revisions)

Jump to: navigation, search

Latest revision as of 17:13, 22 July 2013

Kratos' T u t o r i a l s

Test Page 1 Title

Parametric interpolation

For a two nodes lineal element, the unknow can be written:

$\hat \varphi (\xi) = N_1^{(e)}(\xi) \varphi_1^{(e)} + N_2^{(e)}(\xi) \varphi_2^{(e)}$

and the gradient:

$g = \frac {d \hat \varphi}{dx} = \frac {d N_1^{(e)}(\xi)}{dx} \varphi_1^{(e)} + \frac {d N_2^{(e)}(\xi)}{dx} \varphi_2^{(e)}$

developing the above expressions (see Lagrangian Elements):

$\frac {d N_1^{(e)}(\xi)}{dx} = \frac {d N_1^{(e)}(\xi)}{d \xi} \frac {d \xi}{dx} = \frac {d}{d \xi} \left( \frac {1 - \xi}{2} \right) \frac {d \xi}{dx} = - \frac{1}{2} \frac {d \xi}{dx}$

$\frac {d N_2^{(e)}(\xi)}{dx} = \frac {d N_2^{(e)}(\xi)}{d \xi} \frac {d \xi}{dx} = \frac {d}{d \xi} \left( \frac {1 + \xi}{2} \right) \frac {d \xi}{dx} = \frac{1}{2} \frac {d \xi}{dx}$

and therefore:

$g = - \frac{1}{2} \left( \frac{d \xi}{dx} \right) \varphi_1^{(e)} + \frac{1}{2} \left( \frac{d \xi}{dx} \right) \varphi_2^{(e)}$

to compute $\frac{d \xi}{dx}$ is necessary to know the relation between x and

ξ

, that can be obtained by using a parametric interpolation of the geometry.

For example, by knowing the $x_1, x_2,... , x_m \,$ coordinates of m points of the element, any x value can be computed, as follows:

$x = \hat N_1^{(e)}(\xi) x_1 + \hat N_2^{(e)}(\xi) x_2 + ... + \hat N_m^{(e)} (\xi) x_m$

with $N_i^{(e)}$ geometrical interpolation functions equivalent to the Shape Functions (having the 1 value for the i node and 0 for the m-1 other nodes).

As an example, check the following Parametric interpolation for a cubic function.

Therefore, for each element, it can be considered two kinds of points:

N nodes, which define the Shape Functions, $N_i \,$ and used to interpolate the values of the unkown;
m geometrical points, which define the geometrical interpolation functions, $\hat N_i \,$ used to interpolate the geometry;

For complex geometries, m could be greater than N, and in this case is called superparametric formulation;

For simple geometries, m could be smaller than N, and in this case is called subparametric formulation;

If m is equal to N, then $N_i \equiv \hat N_i \,$ , and the formulation is called isoparametric;

Isoparametric formulation for a two nodes element

Isoparametric formulation for a three nodes quadratic element

Index
[−] Tutorials Kratos Tutorials Test page with index 1 Test page with index 2

@@ Line 14: / Line 14: @@
 ------------------------------->
 |width="75%" style="background:#EAF5FB; border:1px solid #e1eaee; font-size:100%; -moz-border-radius-topleft:0px; -moz-border-radius-bottomleft:0px; padding:7px 7px 7px 7px;" valign="top"|
-<!-- BLOCK 1: General -->
+<!-- BLOCK 1: Article -->
 {| width=100% cellpadding="0" cellspacing="0" valign="top" style="background:#F1FAFF;"
 <!-- TITLE 1 -->
 |-
 ! style="background:#e1eaee; border:1px solid #d0d9dd; text-align:center"  |
-<div style="font-size:120%">General</div>
+<div style="font-size:120%">Test Page 1 Title</div>
 <!-- TITLE 1 (END)-->
 <!-- TEXT 1 -->
@@ Line 29: / Line 29: @@
 <!-- BLOCK 1 (END) -->
+<!-- LEFT BOX (END) -->
-<!-- TEXT 2 (END) -->
-|}
-<!-- BLOCK 2 (END) -->
-<!-- LEFT BOX (END) -->
 <!-----------------------------
          RIGHT BOX
@@ Line 45: / Line 40: @@
 |-
 ! style="background:#e1eaee; border:1px solid #ddddc0; text-align:center;"  |
-<div style="font-size:120%">Social</div>
+<div style="font-size:120%">Index</div>
 <!-- TITLE 1 (END)-->
 <!-- TEXT 1 -->
@@ Line 56: / Line 51: @@
 |}
 <!-- BLOCK 1 (END) -->
+|}
 <!-- RIGHT BOX (END) -->

Test page with index 1

Latest revision as of 17:13, 22 July 2013

Parametric interpolation

Isoparametric formulation for a two nodes element

Isoparametric formulation for a three nodes quadratic element

Views

Personal tools

Navigation

Search

Toolbox

Categories