Recent content by alpha754293

It looks like it's schoolwork, but it actually isn't. It's professional work. (Background: I'm doing CFD with turbomachinery and we are having some problems with the test results so I wanted to quickly model it with 1D pipe flow program and failed to do so, and I wanted to see if there was a...

Stupid question: I have the following pipe configuration: Working fluid = ambient air Pipe1 = 6 inch ID x 24 inch length Expansion1 = 2 inch length Pipe2 = 8 inch ID x 2 inch length Fan1 = assume 200 CFM @ 2860 rpm, 0.05 inH2O Contraction1 = 2 inch length Pipe3 = 6 inch ID x 12 inch length...

Yeah, I'm not sure if I would be able to calculate the error because I don't have any access to the underlying data behind what gave those numbers. (If I did/could get access to it, then I would have processed the raw data instead, but I can't.) But as a first pass/crack at it, it will be "good...

Well...it was my understanding that if you were to plot a normal distribution, you will still have like a 0th (or 1st percentile) value and also either a 100th (or 99th percentile) which would be your min and max respectively. (Please correct me if I am wrong, but from what I...

Given five data points (minimum, 25th percentile, 50th percentile, 75th percentile, maximum), do I have enough information to be able to construct what a normal (Gaussian) distribution would look like? I have no data on any other statistical information (population size, mean, median, mode...

So, would I be correct in saying that the iterative approach that I've built using an Excel spreadsheet is one of the possible ways for me to solve it? I had troubles late last night trying to come up with the differential equation to integrate, but it looks like that it's going to be an...

Oh...gotcha. Thanks! ;) And it's still only solvable in the open form only, correct? Which means that it is an iterative-solution only? (Just checking - to make sure that I haven't missed anything and that what I did with the iterative solution that I've wrote about in my initial question IS...

Dumb question, but what's r'(theta)? And am I really only limited to solving this via an iterative method? P.S. I think that the "where" text didn't show up properly... (because I can only see it as TeX, but no other way). (Sorry, I'm sort of new to the whole TeX commands/method of showing...

So here's a little background for the question: I have an arc that covers 3/4s of a circle (so it's not quite a full circumference) such that the radius from the center of the arc varies with respect to the angle (dR/d(theta)) (and it can be either positive or negative, but not constant). I am...

If I have a x,y table of discrete datapoints with a discrete dataset, such that delta x is not a constant, what are some of the more advanced techiques that I can use to integrate this? I remember that there were Trapezoidal rules and Simpson's rule where delta x IS a constant (and there are...

Thanks.

Yea...I know...hence why I was looking for the ODEs so that I would be able to solve this as a IVP/BVP.

Well...ultimately this "beam program" is going to be used somewhat to do simple (early) analysis of truck frames. We're simplifying it down to a beam problem, but the actual frame rails aren't technically/strictly beams. (That's the reason why I need it to be able to handle a wide variety of...

Yea...that's why I am trying to do some background research on this before I just dive right into it. Like I said, I think that if I want my program to do what I am hoping for it to do - it'll end up being an FEA code (almost entirely by accident). "Accident" being that I didn't really set...

Yes, but how would you code it up if you don't know what kind of loading conditions it's going to be? what happens say...for the distributed loading if it wasn't a constant value but rather some function of x? Or that you can pretty much have anything under the sun in terms of the shape...