Here are some final images of the comparisons of prediction versus measurement. In this comparison, a single spoke is tightened one full turn and the change in shape is plotted. I think I nailed it. The input wheel parameters are dead nominal. There was no adjustment of parameters to improve the fit. This is the raw data.
The sample wheel is a difficult wheel to model. This wheel has a large number of spokes and a fairly high tension. As a result, the structure is close to the flexural torsional bucking load for the rim. The taco shape of the rim reflects how sensitive the wheel is to the spoke perturbation. In the figures, I am also showing the earlier, less successful models that do not account for the instability. The good comparison from the final model and experimental data is the turquoise line (final model) and red line (experimental data) in each figure. I previously got acceptable results on other wheels with fewer spokes or lower tension. The wheel shown here was the one that was hard to get right. The final model reduces naturally to the earlier model as the parameters leading to the instability are modified to make the wheel more stable. The first model had no elastic instability modeling. The second had flexural instability but not torsional. The final model had flexural and torsional instability. This mode gives the lowest buckling load.
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