The relationship between material model parameters being input to the analysis and the collapse/buckling capacity is investigated by performing a series of non-linear finite element analyses.
Predictions based on the semi-empirical model with model parameters being calculated by a non-linear optimization method have shown a good agreement with the experimental verifications.
The MCMC simulations were run for 206 iterations, with genealogies and model parameters being sampled every 1000 iterations.
In each individual analysis, two independent MCMC chains starting from a random tree were run for 20,000 cycles, with trees and associated model parameters being sampled every 10 cycles until 2,000 trees were sampled.
A GTR + G model was assumed for the data using the CAT approximation of the gamma distribution, with the model parameters being allowed to vary independently for each gene.
Simulations show that the fit method can indeed robustly discriminate between the effects of different model parameters on the shape of the sucrose response, that is, changes in one model parameter are reliably detected with the other model parameters being invariant.
