This document discusses motion in a straight line and key concepts related to velocity and acceleration, including:
- The differences between average and instantaneous velocity and acceleration. Average values are calculated over a time interval, while instantaneous values are the limit as the time interval approaches zero.
- Velocity is a vector quantity that involves displacement over time, while speed is a scalar quantity involving distance over time.
- Acceleration is the rate of change of velocity with respect to time. It can be calculated as the change in velocity over a time interval for average acceleration or the derivative of velocity with respect to time for instantaneous acceleration.
- Examples are provided to demonstrate calculating average and instantaneous values and interpreting velocity-
Response of dynamic systems to harmonic excitation is discussed. Single degree of freedom systems are considered. For general damped multi degree of freedom systems, see my book Structural Dynamic Analysis with Generalized Damping Models: Analysis (e.g., in Amazon http://buff.ly/NqwHEE)
Response of dynamic systems to harmonic excitation is discussed. Single degree of freedom systems are considered. For general damped multi degree of freedom systems, see my book Structural Dynamic Analysis with Generalized Damping Models: Analysis (e.g., in Amazon http://buff.ly/NqwHEE)
Dynamics of structures 5th edition chopra solutions manualSchneiderxds
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ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018musadoto
1. Read Chapter 4 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 4.1 to 4.12 in Matlab.
2. Read Chapter 7 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 7.1 to 7.11 in Matlab.
3. Read Chapter 9 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 9.1 to 9.6 in Matlab.
4. Read Chapter 11 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 11.1 to 11.7 in Matlab.
5. Read Chapter 2 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problem 2.18 (page 63).
6. Read Chapter 3 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problem 3.13 (pp 98 - 100).
7. Read Chapter 4 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problem 4.20 (page 146).
8. Read Chapter 5 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problems 5.15 (page 198), 5.21 (pp 199 - 200) and 5.27 (pp 201 – 202).
From the Front LinesOur robotic equipment and its maintenanc.docxhanneloremccaffery
From the Front Lines
Our robotic equipment and its maintenance represent a fixed cost of $23,320 per month. The cost-effectiveness of robotic-assisted surgery is related to patient volume: With only 10 cases, the fixed cost per case is $2,332, and with 40 cases, the fixed cost per case is $583.
Source: Alemozaffar, Chang, Kacker, Sun, DeWolf, & Wagner (2013).
MATLAB sessions: Laboratory 5
MAT 275 Laboratory 5
The Mass-Spring System
In this laboratory we will examine harmonic oscillation. We will model the motion of a mass-spring
system with differential equations.
Our objectives are as follows:
1. Determine the effect of parameters on the solutions of differential equations.
2. Determine the behavior of the mass-spring system from the graph of the solution.
3. Determine the effect of the parameters on the behavior of the mass-spring.
The primary MATLAB command used is the ode45 function.
Mass-Spring System without Damping
The motion of a mass suspended to a vertical spring can be described as follows. When the spring is
not loaded it has length ℓ0 (situation (a)). When a mass m is attached to its lower end it has length ℓ
(situation (b)). From the first principle of mechanics we then obtain
mg︸︷︷︸
downward weight force
+ −k(ℓ − ℓ0)︸ ︷︷ ︸
upward tension force
= 0. (L5.1)
The term g measures the gravitational acceleration (g ≃ 9.8m/s2 ≃ 32ft/s2). The quantity k is a spring
constant measuring its stiffness. We now pull downwards on the mass by an amount y and let the mass
go (situation (c)). We expect the mass to oscillate around the position y = 0. The second principle of
mechanics yields
mg︸︷︷︸
weight
+ −k(ℓ + y − ℓ0)︸ ︷︷ ︸
upward tension force
= m
d2(ℓ + y)
dt2︸ ︷︷ ︸
acceleration of mass
, i.e., m
d2y
dt2
+ ky = 0 (L5.2)
using (L5.1). This ODE is second-order.
(a) (b) (c) (d)
y
ℓ
ℓ0
m
k
γ
Equation (L5.2) is rewritten
d2y
dt2
+ ω20y = 0 (L5.3)
c⃝2011 Stefania Tracogna, SoMSS, ASU
MATLAB sessions: Laboratory 5
where ω20 = k/m. Equation (L5.3) models simple harmonic motion. A numerical solution with ini-
tial conditions y(0) = 0.1 meter and y′(0) = 0 (i.e., the mass is initially stretched downward 10cms
and released, see setting (c) in figure) is obtained by first reducing the ODE to first-order ODEs (see
Laboratory 4).
Let v = y′. Then v′ = y′′ = −ω20y = −4y. Also v(0) = y′(0) = 0. The following MATLAB program
implements the problem (with ω0 = 2).
function LAB05ex1
m = 1; % mass [kg]
k = 4; % spring constant [N/m]
omega0 = sqrt(k/m);
y0 = 0.1; v0 = 0; % initial conditions
[t,Y] = ode45(@f,[0,10],[y0,v0],[],omega0); % solve for 0<t<10
y = Y(:,1); v = Y(:,2); % retrieve y, v from Y
figure(1); plot(t,y,’b+-’,t,v,’ro-’); % time series for y and v
grid on;
%-----------------------------------------
function dYdt = f(t,Y,omega0)
y = Y(1); v = Y(2);
dYdt = [ v ; -omega0^2*y ];
Note that the parameter ω0 was passed as an argument to ode45 rather than set to its value ω0 = 2
directly in the funct ...
This PPT covers linear motion of an object in a very systematic and lucid manner. I hope this PPT will be helpful for instructor's as well as students.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
1. Motion in a straight line
• Average, and instantaneous velocity
• Average, and instantaneous acceleration
All found in University Physics, 2.2-2.4
Lecture 2
Today…
weekendnotes.com
2.
3. Review
Last lecture we looked at :
• The difference between a vector and a scalar
quantity. Vector notation.
• The distinction between distance and
displacement. Distance is a scalar quantity.
Displacement is a vector
• Addition and subtraction of vectors
• Components of vectors
• Unit vectors. The scalar (dot) product
4. Example- Adding vectors
• Find A + B using the component method if A has
magnitude 5.0m at elevation of 600
and B -
magnitude 3.0m at elevation of 300
as shown below.
( )mji
jmm
imm
jBAiBABAR yyxx
ˆ8.5ˆ1.5
ˆ)30sin0.360sin0.5(
ˆ)30cos0.360cos0.5(
ˆ)(ˆ)(
00
00
+=
×+×+
×+×=
+++=+=
A
B
300
300
5m
3m
5.8m
5.1m
X
Y
6. Example- Calculation of components
5.8m
5.1m
X
Y
θ=120°
A
( )
( )0
0
120sin
120cos
AA
AA
y
x
=
=
θ1=30°
( )
( )0
0
30cos
30sin
AA
AA
y
x
=
−=
θ1=30°
( )[ ] ( ) ( ) ( ) ( )[ ]
( )[ ] ( ) ( ) ( ) ( )[ ]000000
000000
30sin90cos30cos90sin3090sin
30sin90sin30cos90cos3090cos
+=+=
−=+=
AAA
AAA
y
x
7. The Displacement vector
and
Distance scalar
If P2 is at P1 then
displacement is zero but
distance travelled still has
a value
Average velocity =
displacement/time
Average speed =
distance/time
8. Speed and velocity
Speed is measured using distance and time:
Velocity is measured using displacement and time:
t
x
tt
xx
vav
∆
∆
=
−
−
=
12
12
t
d
tt
dd
∆
∆
=
−
−
=
12
12
speed
So speed is a scalar, velocity is a vector.
For example 15 km/hour is a scalar. 58.4 m/s in a northerly
direction is a velocity and is a vector.
9. Example - Average velocity vs speed
Ian Thorpe’s personal best
for 100 m freestyle in a 50
m pool in 2001 was 48.81
seconds.
His average SPEED would
have been 2.05 m/s
His average VELOCITY
however is zero m/s!
webswimming.tripod.com
11. t
x
tt
xx
av
∆
∆
=
−
−
=
12
12
v
x2=1680 m
t2 = 85 sec
sm
s
m
t
x
av /23
73
1675
v ≈=
∆
∆
=
Example- Find the average velocity.
x1=5 m
t1= 12 sec
stop
Only includes initial and final conditions, the average does not
have details about the path or events. Such as stopping or drive
over the mountain.
old.risk.ru
13. Example - Average velocity
It takes Penny 37.0 seconds to
drive along a 1.2 km airport
runway, from a standing start at
one end to the other end.
What is her average velocity in
completing this displacement.
To become a velocity this speed needs to include a direction.
Average velocity v=32.4m/s in a due North direction.
hunternissan.com
15. Example 2.1 Average and instantaneous velocity
( )mtx 2
520
ischeetahofPosition
+=
16. Example 2.1Average and Instantaneous velocity
(cont)
a) Find the displacement of the cheetah during the interval
between t = 1.0 sec and t = 2.0 sec.
b) Find the average velocity during this time interval.
( )mtx 2
520 +=
17. Example 2.1Average and Instantaneous velocity
(cont)
sm
s
m
t
x
So
mxst
mxst
st
av /5.10
1.0
05.1
v
05.26;1.1
;25;1
1.0
22
11
==
∆
∆
=
==
==
=∆
c) Find the instantaneous velocity at time t = 1.0 sec, by
taking Δt = 0.1 sec, then Δt = 0.01 sec.
d) Derive a general expression for the instantaneous
velocity as a function of time, and from it find v, at t
= 1.0 sec and t = 2.0 sec.
sm
s
m
t
x
So
mxt
mxst
statst
av /05.10
01.0
1005.0
v
1005.25;s01.1
25;1
101.0Using
22
11
==
∆
∆
=
==
==
==∆
( ) 1−
= nn
ntt
dt
d
( )mtx 2
520 +=
18. Instantaneous velocity from a graph
As P2 approaches P1 the slope of the line between P1 and P2
becomes the tangent at point P1 and its slope gives the value
for instantaneous velocity at P1 ….. On a graph of position as a
function of time for straight-line motion, the instantaneous
velocity at any point is equal to the slope of the tangent to the
curve at that point
20. Instantaneous acceleration
Instantaneous acceleration is the limit of the average
acceleration as the time interval approaches zero; it is
the instantaneous rate of change of velocity with time
ttt
aav
∆
∆
=
−
−
=
vvv
onaccelaratiAverage
12
12
2
2
0
instant
vv
dt
xd
dt
dx
dt
d
dt
d
t
a
t
=
=
=
∆
∆
=
→∆
lim
22. Example 2.3 Instantaneous acceleration (cont)
a) Find the change in velocity of the car in the time
interval between t =1.0 sec and t = 3.0 sec.
b) Find the average acceleration in this time interval
( )smt /50.060v 2
+=
23. Example 2.3 Instantaneous acceleration (cont)
c) Find the average
acceleration at time
t=1.0 s by taking Δt to
be first 0.1 s, then 0.01
s.
2
/05.1
1.0
5.60605.60
v
1.0using1timeAt
sm
s
s
m
s
m
t
a
stst
av =
−
=
∆
∆
=
=∆=
d) Derive an expression for the instantaneous acceleration at
any time, and use it to find the acceleration at t = 1.0 s and t =
3.0 s.
2
/005.1
01.0
5.6051005.60
v
01.0using1timeAt
sm
s
s
m
s
m
t
a
stst
av =
−
=
∆
∆
=
=∆=
( ) 1−
= nn
ntt
dt
d
( )smt /50.060v 2
+=
27. Example: A dizzy turkey
• A turkey moves according to the following
relationship:
x = 5 – 2 t + 0.5 t2
(m)
• Calculate its instantaneous velocity and
acceleration at a time t = 5 s.
simpleist.com
28. Lets look at an object falling from afar.
An astronaut floats near the space shuttle.
His acceleration is a function of his position.
wikipedia.org
30. Remember…
• Average velocity=Δx/ Δt
• Instantaneous Velocity = dx/dt as Δt→0….
… the derivative of x w.r.t t
• Average acceleration = Δv/ Δt
• Instantaneous acceleration = dv/dt as Δt→0…. …
the derivative of v w.r.t t
starwars.com
31. Lecture 2-What you need to
know and where to find it
• Average, and instantaneous velocity
• Average, and instantaneous acceleration
All found in University Physics, 2.2-2.4