Reply To: Under-Relaxation Factor, RMS Convergence Target

[Federico]

Hello Farah, 

Under Relaxation factor is used to tune convergence/stability of your simulation. URF values are between 0 and 1, where the lower end will help with stability but come at the cost of slower convergence, and vice versa. 

RMS Convergence Target refers to a predefined criterion used to determine when the iterative solution process has sufficiently converged. The RMS target for the quantity in question (force in your case) is a statistical measure that quantifies the average error across the computational domain. The lower this value, the more precise (not to confuse with accurate) your solution will become, at the cost of computational time.