THE USE OF MODEL REDUCTION TECHNIQUES IN COMPLEX SIMULATION-BASED PROBLEMS INVOLVING FINITE ELEMENT MODELS

Abstract eng:
This work presents a strategy for integrating a class of model reduction techniques into two types of complex problems: finite element model updating using dynamic response data; and reliability-based design of stochastic finite element models. The solution of this type of problems is computationally very demanding due to the large number of finite element model analyses required. Substructure coupling techniques for dynamic analysis are proposed to reduce the corresponding computational cost involved in these processes. The idea is to carry out the updating and design processes efficiently in a reduced space of generalized coordinates.

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