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Finite element simulation and
analysis of the behaviour under
load of a human shoulder
Manuel	Islán,	Emilio	Lechosa,	Fernando	Blaya,
Roberto	D'Amato,	Juan	Antonio	Juanes	and	Enrique	Soriano
1. Background
Based	on	the	finite	element	model	(FEM)	done	to	study		the	behavior	of	the	
glenohumeral joint	under	different	postures	that	represent	the	routine	of	a	
violinist	(1),	is	done	this	study	improving	 the	analysis	by	improving	 tendon	
insertion	on	bones	and	adding	ligaments	and	cartilage	to	the	model	as	well.
(1)		Manuel	Islán,	«Linear	approximationof	thebehavior of	therotatorcuffunder fatigue	conditions.	Violinist case	study»,	Jounal of	Mecicalsystem,		pp 1,	2017
2. Objetives
Characterizing	behavior	of	a	human	shoulder	 using	finite	element	analysis	
techniques,	main	aims	are:	
• Improve	tendon	insertion	for	a	better	effort	application	on	bones.
• Cartilage	behavior	definition
• Ligament	behavior	definition
3. Methodology (1), solid reconstruction
Starting	from	a	cloud	of	points,	obtained	from	a	resonance,	the	reconstruction	
of	the	bones	and	muscles	involved	in	the	joint	is	done	by	using	Geomagic
Design	X	software.
This	tool	is	able	to	generate	surfaces	supported	 on	the	points	of	the	cloud,	
and	so,	generate	a	3D	surface	representing	the	solid.
4. Methodology (2) solid reconstruction
These	solid	representing	bones	and	muscles	are	used	to	model	the	joint.	In	this	
model	can	be	measured	distances,	positions,	 angles	and	so	on,	needed	to	define	
ligaments,	tendons	or	muscles	positions.
5. Methodology (3) mesh generation.
To	create	the	mesh	used	on	FEM,	different	element	type	has	been	used	for	different	
components	on	the	joint.
• Bones:	3D	tetrahedral	elements,	10	nodes.			
• Muscles:	3D	tetrahedral	elements,	10	nodes.
• Tendons:	3D	tetrahedral	elements,	10	nodes.
• Ligaments:	1D	linear	beam	elements,	2	nodes.
• Ligaments	insertion.	Rigid	elements.
• Cartilage:	gap	elements,	2	nodes.
6. Methodology (4) tendon interface
There	are	two	main	way	to	solve	interface	between	tendon	and	muscle.
• Contact	modeling	at	interface	area.
ü In	this	case	there	is	no	join	between	bone	mesh	and	tendon	mesh,	but	an	algorithm	that	simulate	
behavior	when	contact	exist	between	two	parts.
ü This	method	needs	more	computing	resources	to	get	solved,	is	a	iterative	procedure	and	so,	more	
time	is	needed.
ü Meshes	can	be	done	independently	 one	from	the	other.
• Node	merging	at	interface	area.
ü In	this	case	both	mesh,	bone	and	tendon	meshes,	share	same	node	at	the	interface	area	between	
them.
ü Requires	less	resoruces to	get	solve,	is	faster	and	“cheaper”
ü Meshes	must	be	done	dependently	one	to	the	other.
7. Methodology (5) tendon interface
The	method	used	in	this	study	is	the	node	merging	technique.
Following	images	show	the	nodes	located	on	the	humerus head,	where	the	area	
correspond	to	the	tendon	insertion,	 and	nodes	on	the	tendon	where	is	inserted	in	
the	humerus.	
Both	nodes	distributions	 are	coincident	in	3D	coordinates,	so	merging	implies	that	
same	node	belongs	to	humerus and	tendon,	 and	so,	effort	transmission	between	
parts	is	done	in	a	better	way.
8. Methodology (6) ligament modeling
Ligaments	are	modeled	as	linear	beam,	1D,	elements	between	two	nodes	on	the	
model.	These	elements	are	characterized	by	section	and	material	properties.
In	the	image,	superior,	middle	and	lower	glenohumeral
ligaments	are	shown.
Inserting	these	ligaments	(2)	directly	onto	one	node	of	the	
bones	would	imply	certain	stress	concentrations	on	those	
nodes.	In	order	to	avoid	this,	rigid	elements	(3)	have	been	
modeled,	at	the	end	of	the	ligaments,		to	distribute		efforts	
on	that	area	properly.
9. Methodology (6) glenohumeral capsule modeling
Glenohumeral capsule	is	considered	as	a	ligament	distribution	 joining	 humerus
head	and	scapula.	
It	has	been	modeled	following	same	criteria	that	ligaments,	
but	in	this	case	several	ligaments	have	been	modeled	
surrounding	the	humerus head,	where	the	capsule	is	located.	
These	ligaments	that	give	form	to	the	capsule	are	considered	
cylindrical	and	3	mm	diameter.
Can	be	found	in	the	image	in	blue	color.
10. Methodology (7) cartilage modeling
Cartilage	are	modeled	as	linear	gap,	1D,	elements	between	nodes	on	areas	of	the	
joint	involved,	humerus and	scapula
These	elements	are	characterized	by	a	stiffness	
value	and	a	gap	distance.
They	only	transmit	efforts	in	their	axial	
direction,	and	they	only	transmit	this	efforts	
along	compression	direction
They	are	shown	in	blue	color.
11. Analysis, load cases
Three	different	load	cases	have	been	considered	in	the	study.	As	seen	on	following	
table,	load	cases	2	and	3	can	be	resumed	in	the	image	shown.
LOAD	CASE	(LC) LOAD	CONDITIONS
1
Gravity	applied	along	negative	Z	axis	
(9.841	m/s²)
2
Gravity	applied	along	negative	Z	axis	
(9.841	m/s²)	+	50	N	applied	on	wirst	
location	along	positive	Y	axis
3
Gravity	applied	along	negative	Z	axis	
(9.841	m/s²)	+	50	N	applied	on	wirst
location	along	negative	Z	axis
In	all	three	load	cases	have	been	fixed	the	area	on	the	scapula	marked	
on	a	red	discontinuous	 line.
12. Results. Stress distribution
As	a	sample,	the	stress	distribution	
shown	on	image	represent	the	first	load	
case.
As	it	can	be	seen,	stress	is	located	on	
ligaments	insertion	and	tendons.	Where	
it	should	 be.
13. Results. Tendon and cartilage area.
14. Conclusions
This	study	validates	the	FEM	developed	presenting	 a	first	qualitative	study	of	
the	performance	of	the	joint,	optimizing	 computing	 resources	to	solve	it,	and	
minimizing	 solving	time.
• Tendon	insertions	works	properly	with	node	merge	technique	applied,	this	
imply	best	performance	in	solving	equations	that	contact	simulation.
• Ligaments,	and	their	insertions,	 modeled	as	1D	elements,	are	the	best	
approximation	to	these	areas
• Cartilage,	modeled	as	a	gap	element,	shows	a	correct	performance.
15. Future investigations
On	next	steps	of	the	study	the	objective	will	be	simplifying	 the	muscle	model	to	
a	1D	linear	element,	this	imply	considering.
• The	Young´s	modulus	 of	muscle	is	not	linear.
• The	section	of	the	muscle	varies	depending	 on	the	position	the	joint	is	
located.
Once	done,	the	model	could	be	applied	on	several	disciplines	and	load	cases	
for	this	or	other	human	joints,	applicable	on	these,	but	not	only,	fields.
• Sports	practice
• Working	conditions
Thank you for your attention

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Finite Element Simulation and Analysis of the behavior under load of a human shoulder

  • 1. Finite element simulation and analysis of the behaviour under load of a human shoulder Manuel Islán, Emilio Lechosa, Fernando Blaya, Roberto D'Amato, Juan Antonio Juanes and Enrique Soriano
  • 2. 1. Background Based on the finite element model (FEM) done to study the behavior of the glenohumeral joint under different postures that represent the routine of a violinist (1), is done this study improving the analysis by improving tendon insertion on bones and adding ligaments and cartilage to the model as well. (1) Manuel Islán, «Linear approximationof thebehavior of therotatorcuffunder fatigue conditions. Violinist case study», Jounal of Mecicalsystem, pp 1, 2017
  • 3. 2. Objetives Characterizing behavior of a human shoulder using finite element analysis techniques, main aims are: • Improve tendon insertion for a better effort application on bones. • Cartilage behavior definition • Ligament behavior definition
  • 4. 3. Methodology (1), solid reconstruction Starting from a cloud of points, obtained from a resonance, the reconstruction of the bones and muscles involved in the joint is done by using Geomagic Design X software. This tool is able to generate surfaces supported on the points of the cloud, and so, generate a 3D surface representing the solid.
  • 5. 4. Methodology (2) solid reconstruction These solid representing bones and muscles are used to model the joint. In this model can be measured distances, positions, angles and so on, needed to define ligaments, tendons or muscles positions.
  • 6. 5. Methodology (3) mesh generation. To create the mesh used on FEM, different element type has been used for different components on the joint. • Bones: 3D tetrahedral elements, 10 nodes. • Muscles: 3D tetrahedral elements, 10 nodes. • Tendons: 3D tetrahedral elements, 10 nodes. • Ligaments: 1D linear beam elements, 2 nodes. • Ligaments insertion. Rigid elements. • Cartilage: gap elements, 2 nodes.
  • 7. 6. Methodology (4) tendon interface There are two main way to solve interface between tendon and muscle. • Contact modeling at interface area. ü In this case there is no join between bone mesh and tendon mesh, but an algorithm that simulate behavior when contact exist between two parts. ü This method needs more computing resources to get solved, is a iterative procedure and so, more time is needed. ü Meshes can be done independently one from the other. • Node merging at interface area. ü In this case both mesh, bone and tendon meshes, share same node at the interface area between them. ü Requires less resoruces to get solve, is faster and “cheaper” ü Meshes must be done dependently one to the other.
  • 8. 7. Methodology (5) tendon interface The method used in this study is the node merging technique. Following images show the nodes located on the humerus head, where the area correspond to the tendon insertion, and nodes on the tendon where is inserted in the humerus. Both nodes distributions are coincident in 3D coordinates, so merging implies that same node belongs to humerus and tendon, and so, effort transmission between parts is done in a better way.
  • 9. 8. Methodology (6) ligament modeling Ligaments are modeled as linear beam, 1D, elements between two nodes on the model. These elements are characterized by section and material properties. In the image, superior, middle and lower glenohumeral ligaments are shown. Inserting these ligaments (2) directly onto one node of the bones would imply certain stress concentrations on those nodes. In order to avoid this, rigid elements (3) have been modeled, at the end of the ligaments, to distribute efforts on that area properly.
  • 10. 9. Methodology (6) glenohumeral capsule modeling Glenohumeral capsule is considered as a ligament distribution joining humerus head and scapula. It has been modeled following same criteria that ligaments, but in this case several ligaments have been modeled surrounding the humerus head, where the capsule is located. These ligaments that give form to the capsule are considered cylindrical and 3 mm diameter. Can be found in the image in blue color.
  • 11. 10. Methodology (7) cartilage modeling Cartilage are modeled as linear gap, 1D, elements between nodes on areas of the joint involved, humerus and scapula These elements are characterized by a stiffness value and a gap distance. They only transmit efforts in their axial direction, and they only transmit this efforts along compression direction They are shown in blue color.
  • 12. 11. Analysis, load cases Three different load cases have been considered in the study. As seen on following table, load cases 2 and 3 can be resumed in the image shown. LOAD CASE (LC) LOAD CONDITIONS 1 Gravity applied along negative Z axis (9.841 m/s²) 2 Gravity applied along negative Z axis (9.841 m/s²) + 50 N applied on wirst location along positive Y axis 3 Gravity applied along negative Z axis (9.841 m/s²) + 50 N applied on wirst location along negative Z axis In all three load cases have been fixed the area on the scapula marked on a red discontinuous line.
  • 13. 12. Results. Stress distribution As a sample, the stress distribution shown on image represent the first load case. As it can be seen, stress is located on ligaments insertion and tendons. Where it should be.
  • 14. 13. Results. Tendon and cartilage area.
  • 15. 14. Conclusions This study validates the FEM developed presenting a first qualitative study of the performance of the joint, optimizing computing resources to solve it, and minimizing solving time. • Tendon insertions works properly with node merge technique applied, this imply best performance in solving equations that contact simulation. • Ligaments, and their insertions, modeled as 1D elements, are the best approximation to these areas • Cartilage, modeled as a gap element, shows a correct performance.
  • 16. 15. Future investigations On next steps of the study the objective will be simplifying the muscle model to a 1D linear element, this imply considering. • The Young´s modulus of muscle is not linear. • The section of the muscle varies depending on the position the joint is located. Once done, the model could be applied on several disciplines and load cases for this or other human joints, applicable on these, but not only, fields. • Sports practice • Working conditions
  • 17. Thank you for your attention