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首页> 外文会议>Wind energy symposium 2018 >Adjoint-Based High-Fidelity Aeroelastic Optimization of Wind Turbine Blade for Load Stress Minimization
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Adjoint-Based High-Fidelity Aeroelastic Optimization of Wind Turbine Blade for Load Stress Minimization

机译：基于伴随的高保真风力涡轮机叶片气动优化，以最小化负荷应力

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A high-fidelity multidisciplinary aeroelastic modeling and optimization capability is employed for optimization of structural properties of the 13 meter SWiFT wind turbine blade of Sandia National Laboratories. Both the NSU3D RANS fluid dynamics solver and the AStrO structural finite element solver are developed in-house and validated in previous work. Exact sensitivities of performance objectives are obtained using the adjoint method. For each of several load cases, the composite layup throughout SWiFT blade's internal structure is optimized in order to minimize a scalar stress parameter that has been associated with the propagation of fatigue damage. Three main types of loads regularly experienced by a wind turbine blade are identified: aerodynamic loads, centrifugal loads and gravitational loads. The optimization is performed with the blade under each of these three loads individually, and again with all combined loads present. A 40-60% reduction in the maximum fatigue stress criterion is consistently seen in all cases after optimization.
机译：高保真的多学科气动弹性建模和优化能力被用于优化桑迪亚国家实验室的13米SWiFT风力涡轮机叶片的结构性能。 NSU3D RANS流体动力学求解器和AStrO结构有限元求解器都是内部开发的，并且在先前的工作中得到了验证。使用伴随方法可以获得绩效目标的确切敏感性。对于几种载荷情况中的每一种，SWiFT叶片内部结构的复合材料铺层都经过了优化，以最大程度地减少与疲劳损伤的传播相关的标量应力参数。确定了风力涡轮机叶片经常遇到的三种主要载荷类型：空气动力学载荷，离心载荷和重力载荷。优化是在叶片分别承受这三个载荷的情况下进行的，并且在存在所有组合载荷的情况下进行优化。在优化后的所有情况下，始终可以看到最大疲劳应力准则降低了40-60％。

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