Multidisciplinary Optimization of a Structure with Temperature Dependent Material Characteristics, Subjected to Impact Loading

F. J. Szabó(1*)

(1) Department of Machine Elements, University of Miskolc, Hungary
(*) Corresponding author


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Abstract


A macro has been developed for the analysis of structural behaviour for impact loads and has been integrated into a multidisciplanary optimization program written under the COSMOS/M finite element system. This macro makes possible to solve special types of multidisciplinary optimisation problems which could be very difficult or impossible to solve in any other program system. By using this method, it is possible to enlarge the application field of a finite element program system for the analysis of damages caused by winds, tornados, hurricanes, hails, traffic accidents, gun shots, etc. and for the optimization of special protection products (helmets, walls, covers, etc) against traffic or workplace accidents, natural disasters or terrorist attacks. Since during the usage of the macro all the features of the original finite element program system remain usable, it is possible to combine the impact loading with many special problems (nonlinear behaviour, electric or magnetic analysis, heat or fluid analysis, etc) and these problems can be integrated into a multidisciplinary optimization process. For the optimisation the author developed his new algorithm, the Random Virus Algorithm (RVA Algorithm), based on the simulation of reproduction process of biological or computer viruses. A numerical example of a wall subjeced to heating and impact load is presented.
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Keywords


Multidisciplinary Optimization; Temperature Dependent Material Characteristics; Impact Load; Disasters; Accidents

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References


Sz. D. Ponomarjov, Szilárdsági számítások a gépészetben 6. (Strength Calculations in Machine Design 6 in Hungarian) Műszaki Könyvkiadó, Budapest, 1965.

Structural Research and Analysis Corporation, COSMOS/M User’s Guide SRAC, Santa Barbara CA, USA, 1997.

F. J. Szabó (2007), Multidisciplinary Optimization of Gears Using the Random Virus Algorithm. Proc. IFToMM 2007 World Congress, 18- 22 June, 2007, Besançon, France.


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