DESIGN OF CAR FRONTAL PROTECTION SYSTEM USING NEURAL NETWORK AND GENETIC ALGORITHM

Authors

  • J. Majak Tallinn University of Technology
  • M. Pohlak Tallinn University of Technology
  • M. Eerme Tallinn University of Technology
  • T. Velsker Tallinn University of Technology

DOI:

https://doi.org/10.5755/j01.mech.18.4.2325

Keywords:

design, car frontal protection system, neural network, genetic algorithm

Abstract

Optimal design of the frontal protection system of a car is considered. The study is focused on design of the fastening components. A simple theoretical estimate on deformation energy is given. The car-pedestrian collision situation is analyzed by use of the LS-DYNA explicit solver. Corresponding stiffness analysis is performed by use of the LS-DYNA implicit solver. The approximation of the objective and constraint functions is modeled by use of artificial neural network (NN) and search for an optimal design is performed by use of a genetic algorithm (GA). The obtained numerical results are validated against experimental test results.

DOI: http://dx.doi.org/10.5755/j01.mech.18.4.2325

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Published

2012-08-30

Issue

Vol. 18 No. 4 (2012)

Section

DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS