Finite Element Analysis is a widely used computational method in most of the engineering domains. But still, its considered as a difficult topic by most students. This presentation is an effort to introduce the very basics of FEA so as to build an intuitive feel for the method. Enjoy !
A short introduction presentation about the Basics of Finite Element Analysis. This presentation mainly represents the applications of FEA in the real time world.
A short introduction presentation about the Basics of Finite Element Analysis. This presentation mainly represents the applications of FEA in the real time world.
FEM: Introduction and Weighted Residual MethodsMohammad Tawfik
What are weighted residual methods?
How to apply Galerkin Method to the finite element model?
#WikiCourses #Num001
https://wikicourses.wikispaces.com/TopicX+Approximate+Methods+-+Weighted+Residual+Methods
A Presentation About The Introduction Of Finite Element Analysis (With Example Problem) ... (Download It To Get More Out Of It: Animations Don't Work In Preview) ... !
FEM: Introduction and Weighted Residual MethodsMohammad Tawfik
What are weighted residual methods?
How to apply Galerkin Method to the finite element model?
#WikiCourses #Num001
https://wikicourses.wikispaces.com/TopicX+Approximate+Methods+-+Weighted+Residual+Methods
A Presentation About The Introduction Of Finite Element Analysis (With Example Problem) ... (Download It To Get More Out Of It: Animations Don't Work In Preview) ... !
Role of finite element analysis in orthodontics /certified fixed orthodontic ...Indian dental academy
Welcome to Indian Dental Academy
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Indian dental academy has a unique training program & curriculum that provides students with exceptional clinical skills and enabling them to return to their office with high level confidence and start treating patients
State of the art comprehensive training-Faculty of world wide repute &Very affordable
constant strain triangular which is used in analysis of triangular in finite element method with the help of shape function and natural coordinate system.
Finite Element Method is explained taking a simple example
Essential concepts in this technique are introduced
Top-down approach and bottom-up approach are used to present a holistic picture of FEM
Episode 50 : Simulation Problem Solution Approaches Convergence Techniques S...SAJJAD KHUDHUR ABBAS
Episode 50 : Simulation Problem Solution Approaches Convergence Techniques Simulation Strategies
3.2.3.3. Quasi-Newton (QN) Methods
These methods represent a very important class of techniques because of their extensive use in practical alqorithms. They attempt to use an approximation to the Jacobian and then update this at each step thus reducing the overall computational work.
The QN method uses an approximation Hk to the true Jacobian i and computes the step via a Newton-like iteration. That is,
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
5. Linear Algebra for Machine Learning: Singular Value Decomposition and Prin...Ceni Babaoglu, PhD
The seminar series will focus on the mathematical background needed for machine learning. The first set of the seminars will be on "Linear Algebra for Machine Learning". Here are the slides of the fifth part which is discussing singular value decomposition and principal component analysis.
Here are the slides of the first part which was discussing linear systems: https://www.slideshare.net/CeniBabaogluPhDinMat/linear-algebra-for-machine-learning-linear-systems/1
Here are the slides of the second part which was discussing basis and dimension:
https://www.slideshare.net/CeniBabaogluPhDinMat/2-linear-algebra-for-machine-learning-basis-and-dimension
Here are the slides of the third part which is discussing factorization and linear transformations.
https://www.slideshare.net/CeniBabaogluPhDinMat/3-linear-algebra-for-machine-learning-factorization-and-linear-transformations-130813437
Here are the slides of the fourth part which is discussing eigenvalues and eigenvectors.
https://www.slideshare.net/CeniBabaogluPhDinMat/4-linear-algebra-for-machine-learning-eigenvalues-eigenvectors-and-diagonalization
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
1. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Finite Element Analysis - The Basics
Sujith Jose
University of California, Los Angeles
sujithjose5@ucla.edu
May 31, 2016
2. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Overview
1 Introduction
2 Steps in Finite Element Analysis
Finite Element Discretization
Elementary Governing Equations
Assembling of all elements
Solving the resulting equations
i.Iteration Method
ii.Band Matrix Method
3 Example
4 References
3. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Introduction
Origin in structural analysis
Mathematical treatment - 1948
Applied to Electromagnetic problems - 1968
Can handle complex geometries
Used in almost all engineering disciplines including electrical, aeronautical,
biomedical and civil
4. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Steps in Finite Element Analysis
1 Discretize the solution region into elements
2 Derive governing equations for one element
3 Assemble all elements
4 Solving system of equations obtained
5. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Finite Element Discretization
Figure: A typical finite element subdivision of an irregular 2D domain
6. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Finite Element Discretization
Consider a single element (triangular or quadrilateral)
Let Ve = Potential at any point (x,y)
Ve = 0, inside element
Ve = 0, outside element
For triangular element (used here)
Ve = a + bx + cy
For quadrilateral element
Ve = a + bx + cy + dxy
7. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Finite Element Discretization
Consider triangular element,
Ve(x, y) = a + bx + cy
Linear variation of potential is the same as assuming that electric field is uniform
within the element.i.e
Ee = − Ve = −(bax + cay )
8. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Elementary Governing Equations
At any point (x,y), Ve(x, y) = a + bx + cy.
We can find potential at any point if we can find values of a, b and c.
Ve1(x1, y1) = a + bx1 + cy1
Ve2(x2, y2) = a + bx2 + cy2
Ve3(x3, y3) = a + bx3 + cy3
Ve1
Ve2
Ve3
=
1 x1 y1
1 x2 y2
1 x3 y3
a
b
c
Coefficients a, b and c can be found by
inverting matrix
Figure: Typical triangular element
9. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Elementary Governing Equations
a
b
c
=
1 x1 y1
1 x2 y2
1 x3 y3
−1
Ve1
Ve2
Ve3
a
b
c
= 1
DET
(x2y3 − x3y2) (x3y1 − x1y3) (x1y2 − x2y1)
(y2 − y3) (y3 − y1) (y1 − y2)
(x3 − x2) (x1 − x3) (x2 − x1)
Ve1
Ve2
Ve3
Let
DET =
1 x1 y1
1 x2 y2
1 x3 y3
= 2A
10. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Elementary Governing Equations
a
b
c
= 1
2A
(x2y3 − x3y2) (x3y1 − x1y3) (x1y2 − x2y1)
(y2 − y3) (y3 − y1) (y1 − y2)
(x3 − x2) (x1 − x3) (x2 − x1)
Ve1
Ve2
Ve3
Ve(x, y) = a + bx + cy = 1 x y
a
b
c
Ve(x, y) = 1 x y 1
2A
(x2y3 − x3y2) (x3y1 − x1y3) (x1y2 − x2y1)
(y2 − y3) (y3 − y1) (y1 − y2)
(x3 − x2) (x1 − x3) (x2 − x1)
Ve1
Ve2
Ve3
Ve(x, y) = 1
2A α1 α2 α3
Ve1
Ve2
Ve3
=
3
i=1
αi (x, y)Vei
11. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Elementary Governing Equations
Potential Ve(x, y) at any point (x,y) within the element (provided the potential at
vertices)
Ve(x, y) =
3
i=1
αi (x, y)Vei
where
α1 =
1
2A
[(x2y3 − x3y2) + (y2 − y3)x + (x3 − x2)y] (1)
α2 =
1
2A
[(x3y1 − x1y3) + (y3 − y1)x + (x1 − x3)y] (2)
α3 =
1
2A
[(x1y2 − x2y1) + (y1 − y2)x + (x2 − x1)y] (3)
αi are called linear interpolation functions or element shape functions
12. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Elementary Governing Equations - Energy term
Energy density = 1
2 E2
Energy per unit length
We =
1
2
|E|2
dS =
1
2
| Ve|2
dS (4)
Ve =
3
i=1
αi (x, y)Vei ⇒ Ve =
3
i=1
Vei αi (5)
Substituting
We =
1
2
3
i=1
3
j=1
Vei | αi . αj dS|Vei (6)
13. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Elementary Governing Equations - Energy term
Let coupling term between nodes i and j be C
(e)
ij = αi . αj dS
We =
1
2
3
i=1
3
j=1
Vei | αi . αj dS|Vei =
1
2
3
i=1
3
j=1
Vei |C
(e)
ij |Vej (7)
Writing in matrix form, energy per unit length is
We =
1
2
[Ve]T
[C(e)
][Ve] (8)
where [Ve] =
Ve1
Ve2
Ve3
and [C(e)] =
C
(e)
11 C
(e)
12 C
(e)
13
C
(e)
21 C
(e)
22 C
(e)
23
C
(e)
31 C
(e)
32 C
(e)
33
called element coefficient
matrix or stiffness matrix
14. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Assembling of all elements
The energy associated with all the N elements in the solution region
W =
N
e=1
We =
1
2
[V ]T
[C][V ] (9)
where
[V ] =
V1
V2
.
.
Vn
(10)
n is the number of nodes
[C] is called the over-all or global coefficient matrix which is the assemblage of
individual element coefficient matrices.
15. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Global coefficient matrix - an example
Consider a 3 element finite element mesh.
5 nodes give a 5x5 global coefficient
matrix.
[C] =
C11 C12 C13 C14 C15
C21 C22 C23 C24 C25
C31 C32 C33 C34 C35
C41 C42 C43 C44 C45
C51 C52 C53 C54 C55
Figure: Assembly of three elements
16. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Global coefficient matrix - an example
Cij is the coupling term between
global nodes i and j.
Cij = αi . αj dS
Contribution to Cij comes from all
elements containing nodes i and j.
Write global coefficient elements in
terms of contributing element
coefficient elements
Figure: Assembly of three elements
17. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Global coefficient matrix - an example
Elements 1 and 2 have node 1 in common
C11 = C
(1)
11 + C
(2)
11
Node 2 belongs to element 1 only
C22 = C
(1)
33
Node 4 belongs to elements 1, 2 and 3
C44 = C
(1)
22 + C
(2)
33 + C
(3)
33
Nodes 1 and 4 belong simultaneously to
elements 1 and 2
C14 = C
(1)
12 + C
(2)
13
No coupling between nodes 2 and 3
C23 = C32 = 0
Figure: Assembly of three elements
18. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Global coefficient matrix - an example
The global coefficient matrix
Symmetric (Cij = Cji )
Sparse
Singular
[C] =
C
(1)
11 + C
(2)
11 C
(1)
13 C
(2)
12 C
(1)
12 + C
(2)
13 0
C
(1)
31 C
(1)
33 0 C
(1)
32 0
C
(2)
21 0 C
(2)
22 + C
(3)
11 C
(2)
23 + C
(3)
13 C
(3)
13
C
(1)
21 + C
(2)
31 C
(1)
23 C
(2)
32 + C
(3)
31 C
(1)
22 + C
(2)
33 + C
(3)
33 C
(3)
32
0 0 C
(3)
21 C
(3)
23 C
(3)
22
19. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Global coefficient matrix - an example
Energy associated with assemblage of 3 elements
W =
1
2
[V ]T
[C][V ]
[C] =
C
(1)
11 + C
(2)
11 C
(1)
13 C
(2)
12 C
(1)
12 + C
(2)
13 0
C
(1)
31 C
(1)
33 0 C
(1)
32 0
C
(2)
21 0 C
(2)
22 + C
(3)
11 C
(2)
23 + C
(3)
13 C
(3)
13
C
(1)
21 + C
(2)
31 C
(1)
23 C
(2)
32 + C
(3)
31 C
(1)
22 + C
(2)
33 + C
(3)
33 C
(3)
32
0 0 C
(3)
21 C
(3)
23 C
(3)
22
, [V ] =
V1
V2
V3
V4
V5
20. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Solving the resulting equations
Laplace’s (or Poisson’s ) equation is satisfied when the total energy in the
solution region is minimum
Hence, ∂W
∂V1
= ∂W
∂V2
= ... = ∂W
∂Vn
= 0
21. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Solving the resulting equations
For example,
∂W
∂V1
= 0 ⇒ 0 = 2V1C11+V2C12+V3C13+V4C14+V5C15+V2C21+V3C31+V4C41+V5C5
Or
0 = V1C11 + V2C12 + V3C13 + V4C14 + V5C15
In general, ∂W
∂Vk
= 0 leads to
0 =
n
i=1
Vi Cki
where n is the number of nodes in the mesh.
Writing for all nodes k = 1, 2, ..., n → set of simultaneous equations.
From these equations, V1, V2, .., Vn can be found.
22. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Solving the resulting equations
Iteration method
Suppose node 0 is connected to m nodes.
0 = V0C00 +V1C01 +V2C02 +...+VmC0m
or
V0 = −
1
C00
m
k=1
VkC0k
V0 can be calculated if the potentials at
nodes connected to 0 are known.
Figure: Node 0 connected to m other nodes
23. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Solving the resulting equations
Iteration method
Free nodes - Nodes whose potential are unknown
Fixed nodes - Nodes where the potential V is prescribed or known
Iteration process:
1 Set free node potential initial value equal to
1 Zero
2 Or average potential of fixed nodes Vave = 1
2 (Vmin + Vmax ), where Vmin and
Vmax are the minimum and maximum values of V at the fixed nodes.
2 Calculate value for free node using V0 = − 1
C00
m
k=1
VkC0k
3 Use these as fixed node potential for next iteration
4 Repeat until change between subsequent iterations is negligible.
24. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Solving the resulting equations
Band Matrix Method
If all free nodes (f) are numbered first and fixed/prescribed nodes (p) last,
W = 1
2 [Ve]T [C(e)][Ve] can be written as
W =
1
2
Vf Vp
Cff Cfp
Cpf Cpp
Vf
Vp
Differentiating wrt Vf ,
Cff Cfp
Vf
Vp
= 0
25. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Solving the resulting equations
Band Matrix Method
Cff Cfp
Vf
Vp
= 0 ⇒ [Cff ][Vf ] = −[Cfp][Vp]
This equation can be written as
[A][V ] = [B]
or
[V ] = [A]−1
[B]
where
[V ] = [Vf ], [A] = [Cff ], [B] = −[Cfp][Vp]
Thus, we can solve for [V ] using matrix techniques.
26. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Review of steps
1 Discretize the solution region into elements: Ve = a + bx + cy
2 Derive governing equations for one element: Ve(x, y) =
3
i=1
αi (x, y)Vei
3 Assemble all elements: W = 1
2 [V ]T [C][V ]
4 Solving system of equations obtained: [Cff ][Vf ] = −[Cfp][Vp]
27. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Example - Potential on a 2D surface
Voltage at nodes 1 and 3 are known. Can we find potential at any point within the
mesh using FEM ?
Using x1, x2, x3, x4, y1, y2, y3 and y4,
element
[C(1)
] =
1.236 −0.7786 −0.4571
−0.7786 0.6929 0.0857
−0.4571 0.0857 0.3714
[C(2)
] =
0.5571 −0.4571 0.1
−0.4571 0.8238 −0.3667
−0.1 0.3667 0.4667
Figure: Two element mesh
28. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Example - Potential on a 2D surface
Using band matrix method,
[Cff ][Vf ] = −[Cfp][Vp]
C22 C24
C42 C44
V2
V4
=
C21 C23
C41 C43
V1
V3
1 0 0 0
0 1.25 0 −0.0143
0 0 1 0
1 −0.0143 0 0.8381
V1
V2
V3
V4
=
0
3.708
10.0
4.438
Figure: Two element mesh
29. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Example - Potential on a 2D surface
We get V1 = 0, V2 = 3.708, V3 = 10 and
V4 = 4.438
Now voltage at any point inside each element can
be found using linear interpolation functions
Ve(x, y) =
3
i=1
αi (x, y)Vei
Figure: Two element mesh
30. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
References
Matthew Sadiku (1989)
A Simple Introduction to Finite Element Analysis of Electromagnetic Problems
IEEE Transactions on Education 32(2), 85 - 93.
Jianming Jin (2002)
The Finite Element Method in Electromagnetics
Second Edition
31. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Questions?
32. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Appendix - Boundary value problems
A boundary value problem can be defined by a governing differential equation in a
domain Ω:
Lφ = f
together with boundary conditions on the boundary that encloses the domain.
Approximate solutions to boundary value problems can be found using Ritz or
Galerkin’s method.
33. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Appendix - Ritz method
Boundary value problem is formulated in terms of a variational expression
called functional.
Minimum of this functional corresponds to the governing differential equation
under the given boundary conditions.
Approximate solution is then obtained by minimizing the functional with
respect to variables that define a certain approximation to the solution.
34. Finite Element
Analysis
Sujith Jose
Introduction
Steps in Finite
Element
Analysis
Finite Element
Discretization
Elementary
Governing
Equations
Assembling of all
elements
Solving the
resulting
equations
i.Iteration
Method
ii.Band Matrix
Method
Example
References
Appendix - Galerkin’s method
This method is one of the weighted residual methods i.e. seek the solution by
weighting the residual of the differential equation.
Assume that φ is an approximate solution to boundary value problem. Then,
nonzero residual
r = Lφ − f = 0
The best approximation for φ will be the one that reduces residual r to least
value at all points of Ω.
Ri = wi rdΩ = 0
where Ri denote weighted residual integrals and wi are chosen weighting
functions.