STRUCTURAL ENGINEERING AND MECHANICS · 2012 · 17 citations · 22 references
EngineeringTopolgy OptimizationDesign ConstraintsAerospace EngineeringNonlinear Dome StructuresMechanical EngineeringDesignStructural TopologyShape OptimizationGenetic AlgorithmHybrid Optimization TechniqueStructural OptimizationComputational MechanicsStructural MechanicsConstruction EngineeringDome StructureStructural EngineeringTopology Optimization
The size and topology of geometrically nonlinear dome structures are optimized thereby minimizing both its entire weight & joint (node) displacements and maximizing load-carrying capacity. Design constraints are implemented from provisions of American Petroleum Institute specification (API RP2A-LRFD). In accordance with the proposed design constraints, the member responses computed by use of arc-length technique as a nonlinear structural analysis method are checked at each load increment. Thus, a penalization process utilized for inclusion of unfeasible designations to genetic search is correspondingly neglected. In order to solve this complex design optimization problem with multiple objective functions, Non-dominated Sorting Genetic Algorithm II (NSGA II) approach is employed as a multi-objective optimization tool. Furthermore, the flexibility of proposed optimization is enhanced thereby integrating an automatic dome generating tool. Thus, it is possible to generate three distinct sphere-shaped dome configurations with varying topologies. It is demonstrated that the inclusion of brace (diagonal) members into the geometrical configuration of dome structure provides a weight-saving dome designation with higher load-carrying capacity. The proposed optimization approach is recommended for the design optimization of geometrically nonlinear dome structures.
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Multiobjective evolutionary algorithms: A survey of the state of the art
Aimin Zhou, Boyang Qu, Hui Li et al. · Swarm and Evolutionary Computation · 2011 · 2.2K citations