Structural Design Optimization Using
Regression Techniques
Author(s)
G. Steenackers, P. Guillaume & S. Vanlanduit
Abstract
A structure excited by forces can result in excessive vibration levels if not properly
designed. To overcome such problems, a structural design optimization approach
will be presented. Most updating techniques require many finite element calculations,
resulting in high calculation times. This paper concentrates on a regressive
finite element updating approach.During the optimization the finite elementmodel
is replaced by a multivariate regression model, resulting in a significant reduction
of the computation time. To guarantee a reliable final solution, the multivariate
regressive model is improved and updated during the optimization process. The
effectiveness of the suggested procedure will be illustrated by means of the case
study of an airplane component.
1 Introduction
Finite Element (FE) analysis is widely employed in todays Computer Aided Engineering
(CAE) to model realworld structures in an early design stage. FE models
are mostly considered deterministic, implicitly assuming that all design parameters
are precisely known and that the manufacturing process produces identical
structures. Finite element model updating, also known as inverse modelling, is an
inverse problem to identify and correct uncertain modelling parameters that lead
to better predictions of the dynamic behavior of a target structure. The procedure
of updating a finite element model uses measurement data as exact reference data
in order to update the chosen model parameters (ref. [1] and [2]).
Assume that one wants to reduce the maximum displacement of a structure
under a given dynamic load. Two possible ways of doing this is by changing mass
or stiffness of the structure. Adding for instance one or more ribs to the original
Keywords
Related Book
Other papers in this volume
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