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基于NURBS和梯度法的飞艇形状优化 被引量:12

Airship shape optimization with NURBS and gradient based algorithms
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摘要 采用非一致有理样条曲线(NURBS)作为飞艇外形参数化方法、基于梯度的优化方法、飞艇体积作为约束条件、飞艇的阻力系数作为目标函数的优化流程对平流层流动条件下的飞艇外形进行了优化.阻力系数通过求解二维黏性不可压缩流场获得,阻力不但包含了形状阻力也包括了黏性阻力.优化过程以LOTTE飞艇的形状为初始形状,优化的结果表明优化后飞艇的气动性能明显改善,阻力系数有了比较明显的降低.优化的结果也同时证明了该方法适用于飞艇的优化命题. The present work attempts to conduct shape optimization of stratospheric airships with a method based on a combination of NURBS(non-uniform rational B-spline) and a gradient-based optimization algorithm.Drag coefficient was chosen as the objective function and airship volume as the constraint.NURBS based geometric parameterization was used because of its more efficient representation of the discrete geometric data than other methods(e.g.Bézier curve).Drag coefficient was obtained during the optimization iteration by solving two dimensional incompressible viscous flow field.Both form and viscous drags were considered when drag coefficient was calculated.Using LOTTE airship shape as initial shape,an improved shape with the above algorithm was obtained.Airship with the new shape obviously had better aerodynamic performance.It is eventually proved that the optimization method above can be effectively applied to airship optimization.
出处 《航空动力学报》 EI CAS CSCD 北大核心 2011年第12期2812-2819,共8页 Journal of Aerospace Power
基金 上海市教委重点学科(J50501)
关键词 平流层飞艇 优化 非一致有理样条曲线(NURBS) 梯度法 COMPUTATIONAL FLUID dynamics模拟 stratospheric airship optimization non-uniform rational B-spline(NURBS) gradient algorithm computational fluid dynamics simulation
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