Methods for Modeling 2d Rocket Flight

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Discussion Overview

The discussion revolves around methods for modeling the flight of a rocket projectile in two dimensions. Participants explore various aspects of the model, including assumptions about mass, acceleration, air resistance, and the angle of attack, while addressing potential errors and uncertainties in the proposed methodology.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that Newton’s Second Law may not hold under certain definitions of mass and acceleration, indicating a need for clarification.
  • Another participant points out that air resistance is dependent on velocity and direction, questioning the integration approach used in the model.
  • There is a discussion about the assumption of a constant thrust direction (R), with some arguing that this is not realistic for most rockets.
  • Participants express uncertainty about the treatment of the angle of attack (alpha), noting it can depend on either position or time, but remains an unknown function.
  • Concerns are raised about the iterative method used for solving the equations, with one participant suggesting that it may not yield accurate results.
  • There is a proposal to modify the algorithm to improve accuracy, referencing the RK2 method for approximations.
  • Some participants emphasize that the current model may not be suitable for making precise predictions about rocket flight.

Areas of Agreement / Disagreement

Participants express multiple competing views regarding the assumptions and methods used in the modeling process. There is no consensus on the validity of the current approach or the best way to address the identified issues.

Contextual Notes

Participants note limitations in the model, including missing definitions for mass and acceleration, the treatment of air resistance, and the implications of assuming constant thrust direction. The discussion highlights unresolved mathematical steps and the complexity of the system being modeled.

Who May Find This Useful

This discussion may be of interest to those involved in aerospace engineering, physics modeling, or anyone looking to understand the complexities of rocket flight dynamics.

CSteiner
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I've formulated a method for modeling the flight of a rocket projectile. Can anyone read it over and point out any mistakes false assumptions, etc? thanks!
 

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According to Newton’s Second Law, the product ma must remain constant.
For every reasonable definition of m and a (which is missing), this is wrong.
Since its acceleration is changing over time
Not necessarily, R does not have to be constant.

##\Delta m## in the integral has a different meaning compared to above, but uses the same symbol.

Air resistance depends on the velocity and the direction of motion, you cannot integrate it like that (with both meanings for integrate).

Why does alpha depend on the position of the rocket?
Thus, this system leads to a seemingly circular and unresolvable issue.
You solved a differential equation before, where is the problem with setting up another?

The iteration does not work like that. It gives something like an arc, but not the correct results.
 
Thanks for taking the time to read and reply!

For every reasonable definition of m and a (which is missing), this is wrong.

hmm, you're right. I should have done the derivation purely in terms of momentum.

Not necessarily, R does not have to be constant.

Δm in the integral has a different meaning compared to above, but uses the same symbol.

Air resistance depends on the velocity and the direction of motion, you cannot integrate it like that (with both meanings for integrate).

Why does alpha depend on the position of the rocket?

Well, I was assuming a constant R.

There is no delta m in the integral.

Huh. I guess I just assumed that air resistance was always anti-parallel to direction of motion. I suppose I'll just set the air resistance to be negligible then.

Alpha can depend either on position or on time. Either way its an unknown function.

You solved a differential equation before, where is the problem with setting up another?
The iteration does not work like that. It gives something like an arc, but not the correct results.

I don't know any methods for solving an ODE containing an unknown function (the angle of attack). I tried many ways to get an explicit equation of velocity and angle of attack, but I didn't succeed. I don't believe there is a way to avoid the implicit nature of the system. Thus the approximation algorithm.

Is it too far off to even be an approximation? What if I modified the algorithm to take the average of angle n and angle n-1, like the RK2 method?
 
CSteiner said:
Well, I was assuming a constant R.
That assumption should appear somewhere then. For most rockets, it is not true.
CSteiner said:
There is no delta m in the integral.
In the equation with the integral, in the denominator.

CSteiner said:
I guess I just assumed that air resistance was always anti-parallel to direction of motion.
That is a reasonable approximation, but it is unrelated to my point. The acceleration from air resistance is not constant in time, so its contribution to velocity is not proportional to time.
Actually, real rockets have two different directions: direction of motion (relevant for drag) and direction of thrust (relevant for propulsion). Usually they are not so far apart from each other because that optimizes efficiency, but that is another approximation that should be mentioned somewhere.
CSteiner said:
Alpha can depend either on position or on time. Either way its an unknown function.
Sure, but alpha cannot be calculated based on position values relative to the starting point or some other fixed reference.

CSteiner said:
I don't know any methods for solving an ODE containing an unknown function (the angle of attack)
Every differential equation has at least one unknown function. Sure, alpha will couple the two equations for the directions (a realistic treatment of air resistance will do the same) and probably make an analytic solution impossible, but you can get the iteration steps out of this differential equation.

CSteiner said:
Is it too far off to even be an approximation?
In its current version, I would not use it for any predictions. To know "oh well, the rocket will go up and forwards and then fall down again" you don't need calculations, and I don't think it is more precise than that.
 
Every differential equation has at least one unknown function. Sure, alpha will couple the two equations for the directions (a realistic treatment of air resistance will do the same) and probably make an analytic solution impossible, but you can get the iteration steps out of this differential equation.

I meant that. What do you mean by the iteration steps though?
 
CSteiner said:
I meant that. What do you mean by the iteration steps though?
The same thing as you when you calculate the position in steps of 0.5 seconds.
You'll certainly need the velocity there.
 

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