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基于有限元法建立了无铰旋翼变截面盒型梁桨叶的挥舞/摆振气弹稳定性优化分析模型,提出了多目标、多约束条件下的灵敏度分析方法,采用遗传优化算法(Non-dominated sorting geneti calgorithm-NSGA-Ⅱ),实现了盒型梁桨叶气弹稳定性条件下多约束、多目标优化.最后完成了实例模型旋翼桨叶的优化与对比验证,结果表明,在气弹稳定性、自转惯量和振动固有频率等多约束条件下,实现自转惯量提高到原来的1.147倍,桨叶重量减少5.74%~8.6%,应力减少29.6%~30.1%的多目标优化,优化性能良好.
Based on the finite element method, an optimization analysis model of the swinging / oscillating aeroelastic stability of a box-beam with variable cross-section box girder is established, and the sensitivity analysis method under multi-objective and multi-constraint conditions is proposed. The genetic optimization algorithm (Non- dominated sorting geneti calgorithm-NSGA-Ⅱ), the multi-constrained and multi-objective optimization of box-type beam-paddle aeroelastic stability is achieved.Finally, the rotor blade optimization and comparative verification of the example model are completed.The results show that in the case of aeroelastic Stability, inertial inertia and natural frequency of vibration under the conditions of multiple constraints, to achieve the original 1.147 times the inertia of rotation, blade weight reduction of 5.74% ~ 8.6%, stress reduction 29.6% ~ 30.1% of the multi-objective optimization, optimization of good performance .