Genetic Algorithm-Based Methodology for Unstructured Design of Truss Structures

In this study, a new string representation scheme is developed that efficiently represents skeletal structures in strings and allows evolution of optimum structural designs under the action of the genetic operators; a new structural synthesis scheme is developed to synthesize structures from the information decoded from strings; a new generalized penalty function is developed that is able to handle many different kinds of design constraints; and a new fitness functions is developed that is able to handle various kinds of design objectives. The methodology is implemented as a software application. The methodology is demonstrated on some design examples and the results presented. The methodology is validated by comparing the evolved designs with the general engineering practice that has evolved through experience.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Shrestha, Sharad Man

Contributors dc:contributor

• Ghaboussi, Jamshid

• Engineering, Civil

Language dc:language

eng

Identifier

(MiAaPQ)AAI9944999

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83479