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What could I do with all this data?

What could I do with all this data?

What could I do with all this data?

I did extensive work on the unit cells where I find the youngs modulus, bulk moduli, degree of isotropy, buckling and yield strength. I then modelled two [3x3x3] structures of these unit cells where instead of using linear material model I use hyperelastic material model and enabled geometric nonlinearities in my FEA model.

Due to time limitations I cant do as much work on the [3x3x3] structure, but I did a bunch of linear and nonlinear analyses where the models are fixed on one side, and compressed with a displacement load. What I have are many curves similar to the one below; the blue curve is the average stress/strain data for the nonlinear buckling, and red dotted line with yellow point is the buckling stress and strain value at which it buckles in my linear model. I have this kind of curve for varying thicknesses (volume fractions). So I can see how the data changes as the thickness of the walls in the model changes. Any suggestions on what I could do with all these stress strain curves for many different model thicknesses?

Edit: Forgot to mention that the unit cell is supposed to represent the smallest piece of a structure that goes on infinitely, so it would be surrounded by similar unit cells on all sides and therefore the boundary conditions would differ of the [3x3x3] structure that is only fixed on one side.
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RE: What could I do with all this data?

Well, compare these curves for different models (volume fractions). Put them in a single plot and analyze relations between them. Formulate conclusions, e.g. "The higher the volume fraction, the higher/lower the critical buckling load" and so on. Comment the post-buckling behavior (from nonlinear buckling analyses) as well. Also, highlight the differences between linear and nonlinear analyses (whether the linear simulation overpredicts or underpredicts critical load).

RE: What could I do with all this data?

I do not quite understand you question.

What was the purpose for the original analysis? Doesn't all the data you have answer a question or help in solving a problem?


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