An experimental data-driven mass-spring model of flexible Calliphora wings
An experimental data-driven mass-spring model of flexible Calliphora wings
复制标题
柔性 Calliphora 翅膀的实验数据驱动质量弹簧模型
DOI：
10.1088/1748-3190/ac2f56
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发表时间：
2021
影响因子：
3.4
通讯作者：
Schneider
中科院分区：
文献类型：
--
作者：
Truong;Engels;Wehmann;Kolomenskiy;Lehmann;F.-O. ;Schneider
由于惯性、弹性和空气动力的作用，昆虫的翅膀在拍打运动过程中会发生显著的变形。形状的改变会改变空气动力，导致流固耦合(FSI)问题。在这里，我们提供了详细的三维FSI模拟可变形的苍蝇(Calliphora Vomitoria)翅膀在扑动飞行。采用多参数质量-弹簧方法建立了机翼模型，该方法具有实现简单、计算效率高等优点。我们通过使用带有协方差矩阵自适应的遗传算法(CMA-ES)来优化模型的参数，从而训练模型以重现静态弹性测量。用实验数据训练的机翼模型然后被耦合到在大规模并行超级计算机上运行的高性能流动解算器。讨论了建模方法的不同特点和弹性性质的种内变异性。研究发现，在相同的雷诺数下，不同机翼刚度的个体表现出相似的气动特性，表现为无量纲力和功率。通过比较柔性机翼和刚性机翼，进一步研究了机翼柔度对机翼柔度的影响。对于刚性机翼和柔性机翼，在相同的运动条件下，机翼柔性提高了升阻比和升力功率比，并降低了机翼旋转过程中观察到的峰值力。
Insect wings can undergo significant deformation during flapping motion owing to inertial, elastic and aerodynamic forces. Changes in shape then alter aerodynamic forces, resulting in a fully coupled fluid–structure interaction (FSI) problem. Here, we present detailed three-dimensional FSI simulations of deformable blowfly (Calliphora vomitoria) wings in flapping flight. A wing model is proposed using a multi-parameter mass-spring approach, chosen for its implementation simplicity and computational efficiency. We train the model to reproduce static elasticity measurements by optimizing its parameters using a genetic algorithm with covariance matrix adaptation (CMA-ES). Wing models trained with experimental data are then coupled to a high-performance flow solver run on massively parallel supercomputers. Different features of the modeling approach and the intra-species variability of elastic properties are discussed. We found that individuals with different wing stiffness exhibit similar aerodynamic properties characterized by dimensionless forces and power at the same Reynolds number. We further study the influence of wing flexibility by comparing between the flexible wings and their rigid counterparts. Under equal prescribed kinematic conditions for rigid and flexible wings, wing flexibility improves lift-to-drag ratio as well as lift-to-power ratio and reduces peak force observed during wing rotation.