Maverick2021
Mechanical
I am trying to create a response surface of a simple L-bracket. I am running 25 simulations, where in each run I change the bracket's dimensions. These points are distributed randomly between the minimum and maximum value. For each simulation I record the mass and the max Von-Misses stress.
After the simulation when I attempt to fit a curve between the dimensions and the stress, my machine learning alogrithm returns empty. Basically the algorithm could not find the relationship between the stress and the dimensions. I tried Linear, Polynomial, SVR, Neural networn and decision tress. All of them could not fit the data.
This is so strange because I find many scientifc researches and also commerical software that are doing this. Am I simplifying something or am I missing something? Any and all response are greatly appreciated!
After the simulation when I attempt to fit a curve between the dimensions and the stress, my machine learning alogrithm returns empty. Basically the algorithm could not find the relationship between the stress and the dimensions. I tried Linear, Polynomial, SVR, Neural networn and decision tress. All of them could not fit the data.
This is so strange because I find many scientifc researches and also commerical software that are doing this. Am I simplifying something or am I missing something? Any and all response are greatly appreciated!
