Genetic algorithm optimization and blending of composite laminates by locally reducing laminate thickness

Authors:
David B. Adams;Layne T. Watson;Zafer Gürdal;Christine M. Anderson-Cook
Affiliations:
Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA;Departments of Computer Science and Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA;Departments of Aerospace and Ocean Engineering, and Engineering Science and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA;Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA
Venue:
Advances in Engineering Software
Year:
2004

Citing 9
Cited 4

Designing efficient algorithms for parallel computers

Designing efficient algorithms for parallel computers
Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Optimization of composite structures by genetic algorithms

Optimization of composite structures by genetic algorithms
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms

Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Efficient and Accurate Parallel Genetic Algorithms

Efficient and Accurate Parallel Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
A Distributed Genetic Algorithm with Migration for the Design of Composite Laminate Structures

A Distributed Genetic Algorithm with Migration for the Design of Composite Laminate Structures
An analysis of the behavior of a class of genetic adaptive systems.

An analysis of the behavior of a class of genetic adaptive systems.
Optimal design of flywheels using an injection island genetic algorithm

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

Optimization of dynamic behaviors of an orthotropic composite shell subjected to hygrothermal environment

Finite Elements in Analysis and Design
Global laminate optimization on geometrically partitioned shell structures

Structural and Multidisciplinary Optimization
A primal-dual backtracking optimization method for blended composite structures

Structural and Multidisciplinary Optimization
A laminate parametrization technique for discrete ply-angle problems with manufacturing constraints

Structural and Multidisciplinary Optimization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Composite panel structure optimization is commonly decomposed into panel optimization subproblems, with specified local loads, resulting in manufacturing incompatibilities between adjacent panel designs. A new method proposed here for constructing globally blended panel designs uses a parallel decomposition antithetical to that of earlier work. Rather than performing concurrent panel genetic optimizations, a single genetic optimization is conducted for the entire structure with the parallelism solely within the fitness evaluations. A genetic algorithm approach, based on locally reducing a thick (guide) laminate, is introduced to exclusively generate and evaluate valid globally blended designs, utilizing a simple master-slave parallel implementation, implicitly reducing the size of the problem design space and increasing the quality of discovered local optima.