Dataset accompanying the publication: On the closure of Collar's Triangle by optical diagnostics

An experimental methodology is proposed to study aeroelastic systems with optical diagnostics. The approach locally evaluates the three physical mechanisms that produce the forces involved in Collar’s triangle, namely aerodynamic, elastic, and inertial forces. Flow and object surface tracers are tracked by a volumetric particle image velocimetry (PIV) system based on four highspeed cameras and LED illumination. The images are analysed with Lagrangian particle tracking techniques, and the flow tracers and surface markers are separated based on the different properties of their images. The inertial and elastic forces are obtained solely analysing the motion and the deformation of the solid object, whereas the aerodynamic force distribution is obtained with pressure from PIV techniques. Experiments are conducted on a benchmark problem of fluid–structure interaction, featuring a flexible panel installed at the trailing edge of a cylinder.

本研究提出一种面向气动弹性系统的光学诊断实验方法。该方法针对科拉尔三角（Collar’s triangle）中涉及的三类物理受力机制开展局域评估，即气动力、弹性力与惯性力。研究采用基于四台高速相机与LED照明的体粒子图像测速（volumetric particle image velocimetry, PIV）系统，实现流动示踪剂与物体表面示踪剂的追踪；通过拉格朗日粒子追踪（Lagrangian particle tracking）技术对采集到的图像进行分析，并依据两类示踪剂的图像特征差异完成流动示踪剂与表面标记物的分离。仅通过分析固体对象的运动与变形，即可得到惯性力与弹性力；而气动力分布则可通过PIV技术获取的压力数据推导得到。本次实验选取流固耦合（fluid–structure interaction）基准问题进行验证，该测试对象为安装于圆柱尾缘的柔性面板。