Reliability-based topology optimization with stochastic heterogeneous microstructure properties

METAHEURISTIC-BASED SIZING AND TOPOLOGY OPTIMIZATION AND RELIABILITY ASSESSMENT OF SINGLE-LAYER LATTICE DOMES

Economy and safety are two important components in structural design process and stablishing a balance between them indeed results in improved structural performance specially in large-scale structures including space lattice domes. Topology optimization of geometrically nonlinear single-layer lamella, network, and geodesic lattice domes is implemented using enhanced colliding-bodies optimizati...

A TWO-STAGE SIMP-ACO METHOD FOR RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF DOUBLE LAYER GRIDS

For reliability-based topology optimization (RBTO) of double layer grids, a two-stage optimization method is presented by applying “Solid Isotropic Material with Penalization” and “Ant Colony Optimization” (SIMP-ACO method). To achieve this aim, first, the structural stiffness is maximized using SIMP. Then, the characteristics of the obtained topology are used to enhance ACO through six modific...

On Stochastic Structural Topology Optimization

We consider structural topology optimization problems including unilateral constraints arising from, for example, non-penetration conditions in contact mechanics or noncompression conditions for elastic ropes. To construct more realistic models and to hedge off possible failures or inefficient behaviour of optimal structures, we allow parameters (for example, loads) defining the problem to be s...

Reliability Based Topology Optimization using a Hybrid Cellular Automaton Algorithm

1. Abstract In this research, a reliability based topology optimization (RBTO) for structural design methodology using the Hybrid Cellular Automata (HCA) method is proposed. More specifically, a decoupled reliability based design optimization (RBDO) approach is utilized, so that the topology optimization is separate from the reliability analysis. In this paper, a maximum allowable displacement ...

Ranking stochastic efficient DMUs based on reliability