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Feb 21, 2020
08:55 PM

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Feb 21, 2020
08:55 PM

Problem with a chaotic graph

Hello,

I have a chaotic graph with the x-axis ranging from 0 to 200 increments. I would like to increase the increments of the x-axis to 20000 without that affecting the graph shape.

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8 REPLIES 8

Feb 22, 2020
07:21 AM

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Feb 22, 2020
07:21 AM

Not quite sure what you are looking for.

Do you mean a result like the following?

Feb 22, 2020
07:26 AM

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Feb 22, 2020
07:26 AM

or are you looking for something like this:

Feb 22, 2020
11:44 AM

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Feb 22, 2020
11:44 AM

Hi Warner_E

Thank you for your reply. I kind of want such a kind of graph but not in this way.

I want it to have 20000 increments. The thing you have done has 200 increments and you have multiplied it by 100.

I want a graph which look like this provided that both axes have 20000 increments. If I simply increase the range to 20000, the graph would be too messy.

I think the problem is somehow related to the random number generation of the file.

Best,

Feb 22, 2020
01:12 PM

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Feb 22, 2020
01:12 PM

@mzarrabi wrote:

Hi Warner_E

Thank you for your reply. I kind of want such a kind of graph but not in this way.

I want it to have 20000 increments. The thing you have done has 200 increments and you have multiplied it by 100.

I want a graph which look like this provided that both axes have 20000 increments. If I simply increase the range to 20000, the graph would be too messy.

I think the problem is somehow related to the random number generation of the file.

Best,

Yes, my first suggestion simply stretches the plot in abscissa direction but there still are just 200 data points.

But the second suggestion consists of 20000 data points and as you wrote that you'd like it to be similar to your first plot, I changed the intervals for the various different ranges for the random numbers accordingly.

Of course because of the much larger number of random points there is much more "up and down".

Feb 22, 2020
01:26 PM

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Feb 22, 2020
01:26 PM

Consider it as a cyclic loading. The first graph only has a few spikes of more than 0.1, but the second graph you are suggesting is having a lot of peaks exceeding 0.1. I don't want to change the loading features. I just need to break the graph into several points (like 20000) so that when I apply it to a numerical model the model could converge.

Maybe I need another function that divides peak to peak points of the first graph into 100 increments so that the graph can have 20000 points (200*100=20000).

Feb 22, 2020
02:38 PM

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Feb 22, 2020
02:38 PM

@mzarrabi wrote:

Consider it as a cyclic loading. The first graph only has a few spikes of more than 0.1, but the second graph you are suggesting is having a lot of peaks exceeding 0.1. I don't want to change the loading features. I just need to break the graph into several points (like 20000) so that when I apply it to a numerical model the model could converge.

Maybe I need another function that divides peak to peak points of the first graph into 100 increments so that the graph can have 20000 points (200*100=20000).

Maybe linear interpolation ("linterp") will do the job you are looking for? The plots will look exactly identical and only every hundredth point will be calculated at random - inbetween simple linear interpolation occurs.

Feb 22, 2020
03:15 PM

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Feb 22, 2020
03:15 PM

Here is an example of what I was talking about. I omitted the calculation of N as its not used for the plot.

You may also use spline interpolation instead of linear interpolation by writing

f(t)<--interp(cspline(T,B),T,B,t)

but I don't think that this will make much difference.

Worksheet (MC15) attached

Feb 22, 2020
11:06 AM

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