11. K modeling

11.1. Characteristics of modeling

Modeling: Shell element COQUE_3D MEC3QU9H

Number of layers: COQUE_NCOU = 3

Boundary conditions:

	DDL_IMPO
at all the nodes of the arc \(\mathit{ABC}\)	(GROUP_NO = “ABC”, DX= 0. , DY= 0. , DZ= 0.) DRX =0. , DRY =0. , DRZ =0.)
segment \(\text{]}\mathit{OA}\text{]}\)	(GROUP_NO = “OA”, DY= 0. , DRX =0. , DRZ =0.)
segment \(\text{]}\mathit{OC}\text{]}\)	(GROUP_NO = “OC”, DX= 0. , DRY =0. , DRZ =0.)
at node \(O\)	(GROUP_NO = “O”, DX= 0. , DY= 0. , DRX =0. , DRY =0. , DRZ =0.)

Node names:

Point 0	mesh: M1	Point A	mesh: M21
Point B	mesh: M25	Point C	mesh: M5
Point D	mesh: M11	Point E	mesh: M3

11.2. Characteristics of the mesh

Number of knots: 96

Number of meshes and types: 25 QUAD9

11.3. Tested sizes and results

Identification	Reference type	Reference values **** REISSNER **	Tolerance \((\text{\%})\)
Arrow	“ANALYTIQUE”	—178.419	0.5
Arrow	“ANALYTIQUE”	—101.82	0.5
Arrow	“ANALYTIQUE”	—101.82	0.5

Identification		Reference type	Reference values	Tolerance \((\text{\%})\)
O		“ANALYTIQUE”	—0.08125	2.9
		“ANALYTIQUE”	—0.08125	2.9
A		“ANALYTIQUE”	0.125	2.0
		“ANALYTIQUE”	0.0375	2.0
C		“ANALYTIQUE”	+0.125	1.0
		“ANALYTIQUE”	+0.0375	5.0

D		“ANALYTIQUE”	—0.02969	1.0
		“ANALYTIQUE”	—0.05156	2.0

E		“ANALYTIQUE”	—0.02969	1.0
		“ANALYTIQUE”	—0.05156	2.0

Notes:

The value test is performed automatically using the functionalities offered by the procedure POST_RELEVE :

• extraction on the nodes corresponding to the observed points of the observed points of the mean values of the components

  

and

; these values are taken from the field “ EFGE_ELNO “ , and the average is calculated for all the values available on the cells that contain the observed node,

• calculation of the deviation from the reference value provided by applying the correspondence rules between

  

,

and

,

data on page 3.

Contents of the results file

Values at the observation points of the movements and averaged moments.

We also test the continuity of fields EPSI_ELGA and EPSI_ELNO between layers (non-regression tests). In fact, the value calculated at level SUP of the N layer is equal to the value calculated at the INF level of the COUCHE N+1.