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M
MoeSzyslak12-Amethyst
12-Amethyst
January 26, 2012
Question

Combining/Interpolating Mismatched Data

  • January 26, 2012
  • 2 replies
  • 7278 views

Hi, All --

I have some data that I digitized from another source. Essentially, I digitized a plot of p vs. q and another of p vs. e. However, what I really need is a plot of q vs. e. The problem, of course, is that since the data are digitized, the two data sets have a different number of rows and also different values for p. To make matters worse, the p-q data increase and decrease in both variables, so they can't be splined. I guess I can think of a couple of brute force ways to attack this, but does anyone have a slick solution?

Thanks in advance.

Matt

2 replies

M
MikeArmstrong1-Visitor
1-Visitor
January 26, 2012

Could you not just add a secondary axis?

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Mike

M
MoeSzyslak12-AmethystAuthor
12-Amethyst
January 26, 2012

Hi, Mike --

Thanks for looking at my problem. However, I'm still not exactly sure what the second axis gets me -- I understand your point, but I still don't have a plot of q vs. e that is easy to understand. Am I missing something?

Matt

M
MikeArmstrong1-Visitor
1-Visitor
January 26, 2012

Maybe I missed something. You have called your variables p_e and p_q, I take it these are actually four seperate variables?

Mike

F
Fred_Kohlhepp23-Emerald I
23-Emerald I
January 26, 2012

Can you say whaat this is data of? Looks like (maybe) a test of something to failure; both e and q have two different values for the same value of p. This suggests that something changed as the data was acquired. Is the data sequential in time order? (If we plotted the data in the order it's listed are the values in the order acquired?

M
MoeSzyslak12-AmethystAuthor
12-Amethyst
January 26, 2012

Fred -- yes, the data are sequential in time. The variables p, q, and e are mean stress, deviatoric stress, and axial strain, respectively. Thus, mean and deviatoric stress were increased at some constant rate and then mean stress was decreased while deviatoric stress was held constant.

Note that even though both data sets are sequential in time, I have no reason to believe that delta-t is the same for both because we aren't plotting the actual measured data. Does this make sense?

Thanks for looking at this.

Matt

F
Fred_Kohlhepp23-Emerald I
23-Emerald I
January 26, 2012

It's not pretty!

Fixed one stupid mistake.

Message was edited by: Fred Kohlhepp

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