Date Approved

3-4-2008

Embargo Period

3-21-2016

Document Type

Thesis

Degree Name

M.S. in Engineering

Department

Mechanical Engineering

College

Henry M. Rowan College of Engineering

First Advisor

Constans, Eric

Subject(s)

Genetic algorithms; Structural optimization

Disciplines

Mechanical Engineering

Abstract

This main investigation of this thesis was the integration of the metamorphic development process with a genetic algorithm in order to optimize the metamorphic development process. Since the origin of the metamorphic development process, there has been a need for the user to input parameters in order to coax structural development to obtain an optimum structure. By utilizing the genetic algorithm to manipulate this input information, this new marriage of the metamorphic development process and the genetic algorithm can save time and computation for the user of the program. It was found that the genetic algorithm with the metamorphic development process can obtain an optimized solution for a given structural environment. A second dimension of this thesis, lesser in importance yet still notable, is the use of a non-grid based finite element mesh.

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