Structural Optimization Of An Automotive Dashboard Support By Genetic Algorithms
Author(s)
L. Pagnotta
Abstract
Structural optimization of an automotive
dashboard support by genetic algorithms
L. Pagnotta
Department of Mechanical Engineering,
University of Calabria, Italy.
Abstract
Noise and vibration phenomena may appear from a large number of sub-systems
that a vehicle is built of and lead to a decline in passenger comfort. As a
consequence, the optimum design of every structural detail with frequency
constraints has become of great importance in the automotive field. In the
present paper a genetic algorithm is described to find the optimal stiffening rib
lay-out for the fundamental natural frequency optimization of a magnesium
automotive dashboard support. The genetic algorithm, developed on a personal
computer using the language MATLAB, applies the general-purpose finite
element code MSC-NASTRAN to carry out the modal analysis.
1 Introduction
It is well known that the response of a structure to dynamic excitation depends
on the first natural frequencies of the structure. A large amount of vibration
Keywords
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