재료 불확실성을 고려한 풍력터빈용 복합재료 블레이드의 신뢰성 기반 최적설계
Reliability-based Design Optimization for Composite Wind Turbine Blades Considering Material Uncertainty
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초록
Wind energy has attracted increasing interest because of the need to develop alternative energy sources as a result of thedepletion of fossil fuels and the need to develop clean, environmentally friendly energy sources by serious environmental problemssuch as CO2. In this study, reliability-based design optimization considering the material uncertainty of composite wind turbine wasinvestigated. For this purpose, structural analysis of the composite blade was performed. Deterministic design optimization wasperformed that was followed by reliability-based design optimization. From the structural analysis results, the maximum deflectionand safety factor were calculated to evaluate the structural safety of the composite material. For optimization, the design variableswere selected as the ply angles of the blade and the objective function was selected as the safety factor. The reliability-based designoptimization takes into account the uncertainty of the material, i.e., physical properties and volume fraction of the fibers and matrix. Finally, the results of deterministic optimization and reliability based optimization were compared.
Abstract
Wind energy has attracted increasing interest because of the need to develop alternative energy sources as a result of thedepletion of fossil fuels and the need to develop clean, environmentally friendly energy sources by serious environmental problemssuch as CO2. In this study, reliability-based design optimization considering the material uncertainty of composite wind turbine wasinvestigated. For this purpose, structural analysis of the composite blade was performed. Deterministic design optimization wasperformed that was followed by reliability-based design optimization. From the structural analysis results, the maximum deflectionand safety factor were calculated to evaluate the structural safety of the composite material. For optimization, the design variableswere selected as the ply angles of the blade and the objective function was selected as the safety factor. The reliability-based designoptimization takes into account the uncertainty of the material, i.e., physical properties and volume fraction of the fibers and matrix. Finally, the results of deterministic optimization and reliability based optimization were compared.
참고문헌 (15)
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