Optimal reinforcing of reticular structures

Main Article Content

Manuel Julio García
Juan Santiago Mejía

Keywords

Structural optimisation, reticular structures, reinforced struc- tures, genetic algorithms

Abstract

This article presents an application of Genetic Algorithms (GA) and Finite Element Analysis (FEA) to solve a structural optimisation problem on reticular plastic structures. Structural optimisation is used to modify the original shape by placing reinforcements at optimum locations. As a result, a reduction in the maximum stress by 14,70% for a structure with a final volume increase of 8,36% was achieved. This procedure solves the structural optimisation problem by adjusting the original mold and thereby avoiding the re-construction of a new one.

PACS: 02.60.Pn

MSC: 65-XX

Downloads

Download data is not yet available.
Abstract 659 | PDF Downloads 308

References

[1] Baker A. Bonded composite repair of fatigue-cracked primary aircraft structure, Composite Structures, 47, 431–443 (1999).

[2] Hollaway L and Leeming M. Strengthening of reinforced concrete structures. CRC Press, 1999.

[3] Manuel García. Optimally reinforced plates. MSc. Thesis, Universidad de los Andes, Bogotá, Colombia, 1990.

[4] Jean-Denis Mathias, Xavier Balandraud and Michel Grediac. Applying a genetic algorithm to the optimization of composite pathches, Computers and Structures, 84, 823–834 (2006).

[5] K. Jarmai, J.A. Snyman and J. Farkas. Minimum cost design of a welded orthogonally stiffened cylindrical shell, Computers and Structures, 84, 787–797 (2006).

[6] Mitsuo Gen and Runwei Cheng. Genetic Algorithms and Engineering Design. John Wiley & Sons, first edition, 1997.

[7] David E. Goldberg. Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley Longman Publishing Co., first edition, 1989.

[8] Melanie Mitchell. An Introduction to Genetic Algorithms. The MIT Press, second edition, 1996.

[9] Stephanie Forrest. Genetic algorithms: Principles of natural selection applied to computation, Computing in Science, 261, 872–878 (1993).

[10] Matthew Wall. GAlib: A C++ Library of Genetic Algorithm Components. Mechanical Engineering Department, MIT, 1996.

Most read articles by the same author(s)