WIT Press


Structural Optimization Of An Automotive Dashboard Support By Genetic Algorithms

Price

Free (open access)

Paper DOI

10.2495/OP030071

Volume

67

Pages

8

Published

2003

Size

568 kb

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

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