Derive the Lagrangian for the system

In summary, the system has three generalized co-ordinates to be described completely. The coordinates are z, theta, and phi. The Lagrangian for the system assuming that all motions are small and the four springs are identical is L = KE + PE.
  • #1
forty
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Investigating how a car bounces with the framework of an idealized model. Let the chassis be a rigid, square plate, of side a and mass M, whose corners are supported by massless springs, with spring constants K,K,K and k < K (the faulty one). The springs are confined so they stretch and compress vertically, with unperturbed length L. The density of the plate is uniform.

(a) explain why the system has 3 generalized co-ordinates to be described completely.

1 translational ( up and down ) and 2 rotational.

(b) show your coordinates.

http://img11.imageshack.us/img11/1859/coordsd.jpg

(c) Derive the Lagrangian for the system assuming that all motions are small and the four springs are identical.

This is where I'm stuck...

L = KE + PE

KE = .5mv^2 + .5I(phi dot)^2 + .5I(theta dot)^2

where v = velocity of the centre of mass.
phi dot is the derivative of phi (does this give you the angular velocity?)
theta dot is the derivative of theta
I is the moment of inertia of a square plate (Ma^2)/12

PE = 4.(.5kz^2) = 2kz^2

Is this even remotely correct? Any help as always is greatly appreciated.
 
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  • #2


forty said:
(c) Derive the Lagrangian for the system assuming that all motions are small and the four springs are identical.

This is where I'm stuck...

L = KE + PE
For one thing, L = KE - PE.

KE = .5mv^2 + .5I(phi dot)^2 + .5I(theta dot)^2

where v = velocity of the centre of mass.
phi dot is the derivative of phi (does this give you the angular velocity?)
theta dot is the derivative of theta
I is the moment of inertia of a square plate (Ma^2)/12
This is OK. I would use z as the position of the center of mass, thus v = z dot. (z = 0 is the equilibrium position.)

PE = 4.(.5kz^2) = 2kz^2
Careful here. You have three coordinates: z, theta, and phi. Express the height of each corner in terms of those variables. (z is just the position of the center of mass.)

And don't forget gravity.
 
  • #3


I have no idea on how to express the height of each corner in terms of phi theta and z :S I mean I can presume they involve sin and cos of phi and theta but anything more then that and I'm lost.

Also for gravity is that just mgh? where h = z?
 
  • #4


forty said:
I have no idea on how to express the height of each corner in terms of phi theta and z :S I mean I can presume they involve sin and cos of phi and theta but anything more then that and I'm lost.
Yes, it will involve sinθ, but for small angles sinθ ≈ θ. Start from the center of mass and figure out how having the plate tilted at some angle θ affects the height of the corner. Hint: If one side goes up, the other goes down.

Give it a shot.

Also for gravity is that just mgh? where h = z?
Yep.
 
  • #5


So for the springs is this even remotely correct...

PE = 4 * .5 * K * ( (2/a)sin(theta) + (2/a)sin(phi) + z )^2 + mgz

if so, does sin(theta and sin(phi) just become theta and phi?
 
  • #6


forty said:
So for the springs is this even remotely correct...

PE = 4 * .5 * K * ( (2/a)sin(theta) + (2/a)sin(phi) + z )^2 + mgz
You're getting warmer. First specify the vertical position of each corner. They can't all be the same (if one side tilts up, the other must tilt down):

z1 = z + (a/2)sin(theta) + (a/2)sin(phi)
z2 = z + (a/2)sin(theta) - (a/2)sin(phi)

and so on, for all four corners.

if so, does sin(theta and sin(phi) just become theta and phi?
Yes.
 
  • #7


z1 = z + (a/2)sin(theta) + (a/2)sin(phi)
z2 = z + (a/2)sin(theta) - (a/2)sin(phi)
z3 = z - (a/2)sin(theta) - (a/2)sin(phi)
z4 = z - (a/2)sin(theta) + (a/2)sin(phi)

which become..

z1 = z + (a/2)(theta) + (a/2)(phi)
z2 = z + (a/2)(theta) - (a/2)(phi)
z3 = z - (a/2)(theta) - (a/2)(phi)
z4 = z - (a/2)(theta) + (a/2)(phi)

so...

PE = .5K(z1^2) + .5K(z2^2) + .5K(z3^2) + .5K(z3^2) + mgz

(as for the 2/a, what a careless mistake. I'll just say it was late >.<)

and now if this is correct my L = KE - PE

and then i use the lagrange equation

ae9c64c6d51a4dac2002030f436866fd.png


to solve for phi, theta, z, phi dot, theta dot and z dot.

please tell me I am on the right track. I'm still struggling to see how this is an improvement on F = ma :P

Thanks for all the help thus far Doc Al truly appreciated.
 
  • #8


Yes, you're on track now. :wink:

The power of the Euler-Lagrange method will become clear when you have problems with a few more forces and constraints. Sometimes the forces are very hard to identify and keep straight, especially their directions, so applying F = ma directly would be too hard. But the Lagrangian is usually straightforward to write down immediately. (With practice!) It might take you an hour just to try and figure out how the forces are acting in a problem (if you can do it at all)--but using E-L you'll have the equations of motion in 5 minutes. (Of course, you still have to solve the equations...)
 
  • #9


I see... Well i might see how i go solving this... Just quickly though seeing the the body is a square (Symmetric) won't that mean the solution for phi, phidot and theta, thetadot will be the same?
 
  • #10


Yes, the equations for phi and theta will be identical.
 
  • #11


I've solved the equations and ended up with 3 modes of oscillation

w1 = 2((K/M)^.5)

and

w2 = w3 = 2((3K/M)^.5)

But the following question isn't making too much sense.

By making sensible guesstimates of how far a car sink when you sit in it, estimate K and hence the bounce frequency w1. does w1 conform with common experience.

So the M (mass of chassis/car) ~ 1500kg

K = F/x

F ~ 800 Newtons (80 * 10)
x ~ 2cm (I really have no idea on this >_>)

so K = 40000

I get a value of ~ 10.3 for w1. But how do I interpret this (Are the units radians per second?)?Also the following has me stumped...

Estimate roughly how far apart the corrugations on a road must be to induce maximum bouncing?

does this have to do with w1 matching/lining up with the distance/frequency between the corrugations in the road?

Thanks again!
 
  • #12


forty said:
I've solved the equations and ended up with 3 modes of oscillation

w1 = 2((K/M)^.5)

and

w2 = w3 = 2((3K/M)^.5)
Looks good.

But the following question isn't making too much sense.

By making sensible guesstimates of how far a car sink when you sit in it, estimate K and hence the bounce frequency w1. does w1 conform with common experience.

So the M (mass of chassis/car) ~ 1500kg

K = F/x

F ~ 800 Newtons (80 * 10)
x ~ 2cm (I really have no idea on this >_>)

so K = 40000

I get a value of ~ 10.3 for w1. But how do I interpret this (Are the units radians per second?)?
Yes, the units of ω are radians per second. And your estimates are as good a guess as any.


Also the following has me stumped...

Estimate roughly how far apart the corrugations on a road must be to induce maximum bouncing?

does this have to do with w1 matching/lining up with the distance/frequency between the corrugations in the road?
Sounds right to me. You'll have to estimate the typical car speed.
 

Related to Derive the Lagrangian for the system

What is a Lagrangian?

A Lagrangian is a mathematical function that describes the dynamics of a system in terms of its generalized coordinates and their time derivatives. It is commonly used in classical mechanics to derive the equations of motion for a system.

What is the purpose of deriving a Lagrangian for a system?

The purpose of deriving a Lagrangian for a system is to obtain a set of equations that describe the motion of the system without the need for external forces. This allows for a more elegant and efficient approach to solving problems in classical mechanics.

How is the Lagrangian derived?

The Lagrangian is derived by first determining the kinetic and potential energy of the system in terms of its generalized coordinates. These are then used to construct the Lagrangian, which is a function of the coordinates and their time derivatives. The equations of motion can then be obtained by taking the partial derivatives of the Lagrangian with respect to the coordinates and their time derivatives.

What are the advantages of using the Lagrangian over Newton's laws?

The Lagrangian approach offers several advantages over Newton's laws. It is more general, as it can be applied to a wider range of systems, including those with constraints. It also simplifies the problem by reducing the number of equations needed to describe the system, and it allows for a more intuitive understanding of the underlying physics.

What are some applications of the Lagrangian?

The Lagrangian has many applications in physics and engineering, including in classical mechanics, electromagnetism, and quantum mechanics. It is commonly used in the study of mechanics, such as in celestial mechanics and fluid dynamics, as well as in the design and control of mechanical systems.

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