Abstract
In this paper an approach to robust topology optimization for truss structures with material and loading uncertainties, and discrete design variables, is investigated. Uncertainties on the loading, and spatially correlated material stiffness, are included in the problem formulation, taking truss element length into account. A more realistic random field representation of the material uncertainties is achieved, compared to classical scalar random variable approaches. A multiobjective approach is used to generate Pareto optimal solutions showing how the mean and standard deviation of the compliance can be considered as separate objectives, avoiding the need for an arbitrary combination factor.
Original language | English (US) |
---|---|
Pages (from-to) | 41-47 |
Number of pages | 7 |
Journal | Computers and Structures |
Volume | 154 |
DOIs | |
State | Published - Jul 1 2015 |
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Modeling and Simulation
- General Materials Science
- Mechanical Engineering
- Computer Science Applications
Keywords
- Genetic algorithms
- Robust optimization
- Spectral stochastic finite element method
- Truss topology optimization