Computational Tools for Optimal Design of Multibody Systems under Uncertainty
Project status: Complete
Thrust area: Visualization and Virtual Prototyping
Research team: Nicholas Polys
Practical mechanical systems often operate with some degree of uncertainty. The uncertainties can result from poorly known or variable parameters, from uncertain inputs, or from rapidly changing forcings that can be best described in a stochastic framework. The resulting computational tools of this project allow companies to formulate and solve optimal design problems for constrained mechanical systems with uncertainty. These design tools have direct applications in automotive, aerospace, and naval industries, in robotics, in bioengineering (through human body modeling), etc.