The probabilistic design system assesses the effect of uncertainty of key parameters or properties on the performance parameters of interest. For example, material properties, manufacturing tolerances, boundary conditions, and loads are all inherently subjected to scatter, variability and uncertainty under real life conditions.
Reality creates large models.
With the integration of 3D solid modelers into the design process and the desire to model assemblies instead of individual parts, modern analyses are creating very large finite element models. The AMG, which is a shared memory solver, scales well on up to eight processors and works well on ill-conditioned models. That is, contiguous groupings of finite elements drawn from the complete model which are solved on different processors. Inc. All other trademarks and registered trademarks are the property of their respective owners. Inc. All Rights Reserved.