Evolutionary optimization of a geometrically refined truss
| Autor: | Michael L. Tinker, Gerry Dozier, Patrick V. Hull |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Continuous optimization
Mathematical optimization Control and Optimization Optimization problem Probabilistic-based design optimization Topology optimization Computer Graphics and Computer-Aided Design Computer Science Applications Engineering optimization Control and Systems Engineering Discrete optimization Test functions for optimization Metaheuristic Software Mathematics |
| Zdroj: | Structural and Multidisciplinary Optimization. 31:311-319 |
| ISSN: | 1615-1488 1615-147X |
| DOI: | 10.1007/s00158-005-0564-7 |
| Popis: | Structural optimization is a field of research that has experienced noteworthy growth for many years. Researchers in this area have developed optimization tools to successfully design and model structures, typically minimizing mass while maintaining certain deflection and stress constraints. Numerous optimization studies have been performed to minimize mass, deflection, and stress on a benchmark cantilever truss problem. Predominantly traditional optimization theory is applied to this problem. The cross-sectional area of each member is optimized to minimize the aforementioned objectives. This Technical Publication (TP) presents a structural optimization technique that has been previously applied to compliant mechanism design. This technique demonstrates a method that combines topology optimization, geometric refinement, finite element analysis, and two forms of evolutionary computation: genetic algorithms and differential evolution to successfully optimize a benchmark structural optimization problem. A nontraditional solution to the benchmark problem is presented in this TP, specifically a geometrically refined topological solution. The design process begins with an alternate control mesh formulation, multilevel geometric smoothing operation, and an elastostatic structural analysis. The design process is wrapped in an evolutionary computing optimization toolset. |
| Databáze: | OpenAIRE |
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