WALL INTERFERENCE CORRECTIONS USING NONLINEAR LEAST-SQUARES OPTIMISATION
WALL INTERFERENCE CORRECTIONS USING NONLINEAR LEAST-SQUARES OPTIMISATION
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发表时间：
2022
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通讯作者：
Simon Noel;D. Birch;John James Doherty;T. Tipnis
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作者：
Simon Noel;D. Birch;John James Doherty;T. Tipnis
利用与模型几何无关的非线性最小二乘优化过程，发展了一种新的方法来修正封闭式风洞的壁面干扰影响。用势流奇异性表示测试对象，用图像法表示隧道壁面。该方法利用信赖域反射优化方法，只需将壁面压力测量作为独立的输入，即可迭代确定奇点的位置和强度。在堵塞5%到20%的情况下，通过对自由和壁面约束条件下典型形状绕流的CFD模拟，验证了该技术的有效性。与双变量方法进行了比较，并证明了在所考虑的物体范围内的改进
A novel approach to correcting the effects of wall interference has been developed for closed-wall wind tunnels using a nonlinear least squares optimisation process that is independent of model geometry. Potential flow singularities are used to represent the test object and the method of images is used to represent the tunnel walls. The present approach makes use of trust-region reflective optimisation to allow the locations and strengths of singularities to be determined iteratively with only wall pressure measurements as independent inputs. The technique has been validated using CFD simulations of flow around canonical shapes in both free and wall-bounded conditions at blockages of 5 % to 20 %. Comparisons are drawn to the two-variable method, with demonstrated improvements across the range of bodies considered