constant strain triangular which is used in analysis of triangular in finite element method with the help of shape function and natural coordinate system.
Lecture slides on the calculation of the bending stress in case of unsymmetrical bending. The Mohr's circle is used to determine the principal second moments of area.
Lecture slides on the calculation of the bending stress in case of unsymmetrical bending. The Mohr's circle is used to determine the principal second moments of area.
*Plain stress-strain,
*axi-symmetric problems in 2D elasticity
*Constant Strain Triangles (CST)- Element stiffness matrix, Assembling stiffness Equation, Load vector, stress and reaction forces calculations. (numerical treatment only on constant strain triangles)
*Post Processing Techniques- *Check and validate accuracy of results,
* Average and Un-average stresses,
*Special tricks for post processing,
*Interpretation of results and design modifications,
*CAE reports.
Every material has certain strength, expressed in terms of stress or strain, beyond which it
fractures or fails to carry the load. Failure Criterion: A criterion used to hypothesize the failure.
Failure Theory: A Theory behind a failure criterion.
Need of Failure Theories:
(a) To design structural components and calculate margin of safety.
(b) To guide in materials development.
(c) To determine weak and strong directions.
*Plain stress-strain,
*axi-symmetric problems in 2D elasticity
*Constant Strain Triangles (CST)- Element stiffness matrix, Assembling stiffness Equation, Load vector, stress and reaction forces calculations. (numerical treatment only on constant strain triangles)
*Post Processing Techniques- *Check and validate accuracy of results,
* Average and Un-average stresses,
*Special tricks for post processing,
*Interpretation of results and design modifications,
*CAE reports.
Every material has certain strength, expressed in terms of stress or strain, beyond which it
fractures or fails to carry the load. Failure Criterion: A criterion used to hypothesize the failure.
Failure Theory: A Theory behind a failure criterion.
Need of Failure Theories:
(a) To design structural components and calculate margin of safety.
(b) To guide in materials development.
(c) To determine weak and strong directions.
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) ... !
The significance of higher-order ... procedures is that they enable us to represent procedural abstractions explicitly as elements in our programming language, so that they can be handled just like other computational elements.
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 !
Chap-1 Preliminary Concepts and Linear Finite Elements.pptxSamirsinh Parmar
Linear Finite Elements, Vector and Tensor Calculus, Stress and Strain, FEA, Finite Element methods basics, Mechanics of Continuous bodies, Mechanics of Continuum, Continuum Mechanics, Preliminary concepts
Dynamic stiffness and eigenvalues of nonlocal nano beams - new methods for dynamic analysis of nano-scale structures. This lecture gives a review and proposed new techniques.
Mixed Spectra for Stable Signals from Discrete Observationssipij
This paper concerns the continuous-time stable alpha symmetric processes which are inivitable in the
modeling of certain signals with indefinitely increasing variance. Particularly the case where the spectral
measurement is mixed: sum of a continuous measurement and a discrete measurement. Our goal is to
estimate the spectral density of the continuous part by observing the signal in a discrete way. For that, we
propose a method which consists in sampling the signal at periodic instants. We use Jackson's polynomial
kernel to build a periodogram which we then smooth by two spectral windows taking into account the
width of the interval where the spectral density is non-zero. Thus, we bypass the phenomenon of aliasing
often encountered in the case of estimation from discrete observations of a continuous time process.
Mixed Spectra for Stable Signals from Discrete Observationssipij
This paper concerns the continuous-time stable alpha symmetric processes which are inivitable in the
modeling of certain signals with indefinitely increasing variance. Particularly the case where the spectral
measurement is mixed: sum of a continuous measurement and a discrete measurement. Our goal is to
estimate the spectral density of the continuous part by observing the signal in a discrete way. For that, we
propose a method which consists in sampling the signal at periodic instants. We use Jackson's polynomial
kernel to build a periodogram which we then smooth by two spectral windows taking into account the
width of the interval where the spectral density is non-zero. Thus, we bypass the phenomenon of aliasing
often encountered in the case of estimation from discrete observations of a continuous time process.
MIXED SPECTRA FOR STABLE SIGNALS FROM DISCRETE OBSERVATIONSsipij
This paper concerns the continuous-time stable alpha symmetric processes which are inivitable in the modeling of certain signals with indefinitely increasing variance. Particularly the case where the spectral measurement is mixed: sum of a continuous measurement and a discrete measurement. Our goal is to estimate the spectral density of the continuous part by observing the signal in a discrete way. For that, we propose a method which consists in sampling the signal at periodic instants. We use Jackson's polynomial kernel to build a periodogram which we then smooth by two spectral windows taking into account the width of the interval where the spectral density is non-zero. Thus, we bypass the phenomenon of aliasing often encountered in the case of estimation from discrete observations of a continuous time process.
Mixed Spectra for Stable Signals from Discrete Observationssipij
This paper concerns the continuous-time stable alpha symmetric processes which are inivitable in the
modeling of certain signals with indefinitely increasing variance. Particularly the case where the spectral
measurement is mixed: sum of a continuous measurement and a discrete measurement. Our goal is to
estimate the spectral density of the continuous part by observing the signal in a discrete way. For that, we
propose a method which consists in sampling the signal at periodic instants. We use Jackson's polynomial
kernel to build a periodogram which we then smooth by two spectral windows taking into account the
width of the interval where the spectral density is non-zero. Thus, we bypass the phenomenon of aliasing
often encountered in the case of estimation from discrete observations of a continuous time process.
Mixed Spectra for Stable Signals from Discrete Observationssipij
This paper concerns the continuous-time stable alpha symmetric processes which are inivitable in the modeling of certain signals with indefinitely increasing variance. Particularly the case where the spectral measurement is mixed: sum of a continuous measurement and a discrete measurement. Our goal is to estimate the spectral density of the continuous part by observing the signal in a discrete way. For that, we propose a method which consists in sampling the signal at periodic instants. We use Jackson's polynomial kernel to build a periodogram which we then smooth by two spectral windows taking into account the width of the interval where the spectral density is non-zero. Thus, we bypass the phenomenon of aliasing often encountered in the case of estimation from discrete observations of a continuous time process.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
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.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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.
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Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERS
Constant strain triangular
1. MANE 4240 & CIVL 4240
Introduction to Finite Elements
Constant Strain
Triangle (CST)
Prof. Suvranu De
2. Reading assignment:
Logan 6.2-6.5 + Lecture notes
Summary:
• Computation of shape functions for constant strain triangle
• Properties of the shape functions
• Computation of strain-displacement matrix
• Computation of element stiffness matrix
• Computation of nodal loads due to body forces
• Computation of nodal loads due to traction
• Recommendations for use
• Example problems
3. Finite element formulation for 2D:
Step 1: Divide the body into finite elements connected to each
other through special points (“nodes”)
x
y
Su
ST
u
v
x
px
py
Element ‘e’
3
2
1
4
y
x
v
u
1
2
3
4
u1
u2
u3
u4
v4
v3
v2
v1
=
4
4
3
3
2
2
1
1
v
u
v
u
v
u
v
u
d
7. Displacement approximation in terms of shape functions
Strain approximation in terms of strain-displacement matrix
Stress approximation
Summary: For each element
Element stiffness matrix
Element nodal load vector
dNu =
dBD=σ
dBε =
∫= e
V
k dVBDB
T
S
e
T
b
e
f
S
S
T
f
V
T
dSTdVXf ∫∫ += NN
8. Constant Strain Triangle (CST) : Simplest 2D finite element
• 3 nodes per element
• 2 dofs per node (each node can move in x- and y- directions)
• Hence 6 dofs per element
x
y
u3
v3
v1
u1
u2
v2
2
3
1
(x,y)
v
u
(x1,y1)
(x2,y2)
(x3,y3)
9. 166212 dNu ××× =
=
=
3
3
2
2
1
1
321
321
v
u
v
u
v
u
N0N0N0
0N0N0N
y)(x,v
y)(x,u
u
The displacement approximation in terms of shape functions is
=
321
321
N0N0N0
0N0N0N
N
1 1 2 2 3 3u (x,y) u u uN N N≈ + +
1 1 2 2 3 3v(x,y) v v vN N N≈ + +
10. Formula for the shape functions are
A
ycxba
N
A
ycxba
N
A
ycxba
N
2
2
2
333
3
222
2
111
1
++
=
++
=
++
=
12321312213
31213231132
23132123321
33
22
11
x1
x1
x1
det
2
1
xxcyybyxyxa
xxcyybyxyxa
xxcyybyxyxa
y
y
y
triangleofareaA
−=−=−=
−=−=−=
−=−=−=
==
where
x
y
u3
v3
v1
u1
u2
v2
2
3
1
(x,y)
v
u
(x1,y1)
(x2,y2)
(x3,y3)
11. Properties of the shape functions:
1. The shape functions N1, N2 and N3 are linear functions of x
and y
x
y
2
3
1
1
N1
2
3
1
N2
1
2
3
1
1
N3
=
nodesotherat
inodeat
0
''1
Ni
12. 2. At every point in the domain
yy
xx
i
i
=
=
=
∑
∑
∑
=
=
=
3
1i
i
3
1i
i
3
1i
i
N
N
1N
13. 3. Geometric interpretation of the shape functions
At any point P(x,y) that the shape functions are evaluated,
x
y
2
3
1
P (x,y)
A1
A3
A2
A
A
A
A
A
A
3
3
2
2
1
1
N
N
N
=
=
=
14. Approximation of the strains
xy
u
v
u v
x
y
x
Bd
y
y x
ε
εε
γ
∂
∂
∂
= = ≈ ∂
∂ ∂
+ ∂ ∂
=
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
∂
=
332211
321
321
332211
321
321
000
000
2
1
y)(x,Ny)(x,Ny)(x,Ny)(x,Ny)(x,Ny)(x,N
y)(x,N
0
y)(x,N
0
y)(x,N
0
0
y)(x,N
0
y)(x,N
0
y)(x,N
bcbcbc
ccc
bbb
A
xyxyxy
yyy
xxx
B
15. Element stresses (constant inside each element)
dBD=σ
Inside each element, all components of strain are constant: hence
the name Constant Strain Triangle
16. IMPORTANT NOTE:
1. The displacement field is continuous across element
boundaries
2. The strains and stresses are NOT continuous across element
boundaries
17. Element stiffness matrix
∫= e
V
k dVBDB
T
Atk e
V
BDBdVBDB
TT
== ∫ t=thickness of the element
A=surface area of the element
Since B is constant
t
A
19. Element nodal load vector due to body forces
∫∫ == ee
A
T
V
T
b
dAXtdVXf NN
=
=
∫
∫
∫
∫
∫
∫
e
e
e
e
e
e
A
b
A
a
A
b
A
a
A
b
A
a
yb
xb
yb
xb
yb
xb
b
dAXNt
dAXNt
dAXNt
dAXNt
dAXNt
dAXNt
f
f
f
f
f
f
f
3
3
2
2
1
1
3
3
2
2
1
1
x
y
fb3x
fb3y
fb1y
fb1x
fb2x
fb2y
2
3
1
(x,y)
Xb
Xa
20. EXAMPLE:
If Xa=1 and Xb=0
=
=
=
=
∫
∫
∫
∫
∫
∫
∫
∫
∫
0
3
0
3
0
3
0
0
0
3
2
1
3
3
2
2
1
1
3
3
2
2
1
1
tA
tA
tA
dANt
dANt
dANt
dAXNt
dAXNt
dAXNt
dAXNt
dAXNt
dAXNt
f
f
f
f
f
f
f
e
e
e
e
e
e
e
e
e
A
A
A
A
b
A
a
A
b
A
a
A
b
A
a
yb
xb
yb
xb
yb
xb
b
21. Element nodal load vector due to traction
∫= e
TS
S
T
S
dSTf N
EXAMPLE:
x
y
fS3x
fS3y
fS1y
fS1x
2
3
1 ∫− −
= e
l
S
along
T
S
dSTtf
31 31
N
22. Element nodal load vector due to traction
EXAMPLE:
x
y
fS3x
2
31
∫ − −
= e
l
S
along
T
S
dSTtf
32 32
N
fS3y
fS2x
fS2y
(2,0)
(2,2)
(0,0)
=
0
1
ST
tt
dyNtf ex l alongS
=××
=
= ∫ −
−
12
2
1
)1(
32
2 322
0
0
3
3
2
=
=
=
y
x
y
S
S
S
f
tf
f
Similarly, compute
1
2
23. Recommendations for use of CST
1. Use in areas where strain gradients are small
2. Use in mesh transition areas (fine mesh to coarse mesh)
3. Avoid CST in critical areas of structures (e.g., stress
concentrations, edges of holes, corners)
4. In general CSTs are not recommended for general analysis
purposes as a very large number of these elements are required
for reasonable accuracy.
24. Example
x
y
El 1
El 2
1
23
4
300 psi
1000 lb
3 in
2 in
Thickness (t) = 0.5 in
E= 30×106
psi
ν=0.25
(a) Compute the unknown nodal displacements.
(b) Compute the stresses in the two elements.
25. Realize that this is a plane stress problem and therefore we need to use
psi
E
D 7
2
10
2.100
02.38.0
08.02.3
2
1
00
01
01
1
×
=
−−
=
ν
ν
ν
ν
Step 1: Node-element connectivity chart
ELEMENT Node 1 Node 2 Node 3 Area
(sqin)
1 1 2 4 3
2 3 4 2 3
Node x y
1 3 0
2 3 2
3 0 2
4 0 0
Nodal coordinates
26. Step 2: Compute strain-displacement matrices for the elements
=
332211
321
321
000
000
2
1
bcbcbc
ccc
bbb
A
B
Recall
123312231
213132321
xxcxxcxxc
yybyybyyb
−=−=−=
−=−=−=
with
For Element #1:
1(1)
2(2)
4(3)
(local numbers within brackets)
0;3;3
0;2;0
321
321
===
===
xxx
yyy
Hence
033
202
321
321
==−=
−===
ccc
bbb
−−
−
−
=
200323
003030
020002
6
1)1(
B
Therefore
For Element #2:
−−
−
−
=
200323
003030
020002
6
1)2(
B
29. Step 4: Assemble the global stiffness matrix corresponding to the nonzero degrees of
freedom
014433 ===== vvuvu
Notice that
Hence we need to calculate only a small (3x3) stiffness matrix
7
10
4.102.0
0983.045.0
2.045.0983.0
×
−
−
=K
u1 u2
v2
u1
u2
v2
30. Step 5: Compute consistent nodal loads
=
y
x
x
f
f
f
f
2
2
1
=
yf2
0
0
ySy ff 2
10002 +−=
The consistent nodal load due to traction on the edge 3-2
lb
x
dx
x
dxN
tdxNf
x
x
x
S y
225
2
9
50
2
50
3
150
)5.0)(300(
)300(
3
0
2
3
0
3
0 233
3
0 2332
−=
−=
−=
−=
−=
−=
∫
∫
∫
=
= −
= −
3 2
3232
x
N =−
31. lb
ff ySy
1225
1000 22
−=
+−=
Hence
Step 6: Solve the system equations to obtain the unknown nodal loads
fdK =
−
=
−
−
×
1225
0
0
4.102.0
0983.045.0
2.045.0983.0
10
2
2
1
7
v
u
u
Solve to get
×−
×
×
=
−
−
−
in
in
in
v
u
u
4
4
4
2
2
1
109084.0
101069.0
102337.0
32. Step 7: Compute the stresses in the elements
)1()1()1(
dBD=σ
With
[ ]
[ ]00109084.0101069.00102337.0
d
444
442211
)1(
−−−
×−××=
= vuvuvu
T
Calculate
psi
−
−
−
=
1.76
1.1391
1.114
)1(
σ
In Element #1