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I am having trouble finding a way to solve the problem so that 98.5 % of the beams exceed this critical buckling load. Intuitively, I think that we need to look at a normal distribution of the function and change L until the mean and standard deviation some key point, but do not know how to do this. Any ideas?
The text was updated successfully, but these errors were encountered:
I am having trouble finding a way to solve the problem so that 98.5 % of the beams exceed this critical buckling load. Intuitively, I think that we need to look at a normal distribution of the function and change L until the mean and standard deviation some key point, but do not know how to do this. Any ideas?
Yes, @jmr15122, the first step is to create a model that generates random critical buckling loads based upon geometry (random radius, constant length). Then, you can process the data to find the number of rods that will fail (if Pcrit < (1000 kg)*(9.81 m/s/s)/(100 rods) then rod_pass = True).
I am having trouble finding a way to solve the problem so that 98.5 % of the beams exceed this critical buckling load. Intuitively, I think that we need to look at a normal distribution of the function and change L until the mean and standard deviation some key point, but do not know how to do this. Any ideas?
The text was updated successfully, but these errors were encountered: