CAJ | 학술논문

提出了一种精确测量任意运动变形边界流场的粒子图像速度场PIV算法，能智能识别强流固耦合问题流场测量中任意运动变形的边界信息，然后生成贴体自适应的图像互相关计算窗口，计算获取运动变形边界附近的速度场数据。这一算法可大大提高任意运动边界附近流场的测量精度，为流固耦合问题的理论分析和数值计算验证提供可靠的高质量实验数据。针对数字合成给定流场的粒子图像序列，采用所发展的PIV算法对粒子图像区域中的运动变形边界进行了精确识别，高质量地复现了原始流场信息。最后，对低速闭式循环水洞中的钝体尾流柔性薄膜涡激振动现象进行了PIV实验测量，获得了柔性薄膜大变形运动状态下的瞬态流场特征。
제출료일충정학측량임의운동변형변계류장적입자도상속도장PIV산법，능지능식별강류고우합문제류장측량중임의운동변형적변계신식，연후생성첩체자괄응적도상호상관계산창구，계산획취운동변형변계부근적속도장수거。저일산법가대대제고임의운동변계부근류장적측량정도，위류고우합문제적이론분석화수치계산험증제공가고적고질량실험수거。침대수자합성급정류장적입자도상서렬，채용소발전적PIV산법대입자도상구역중적운동변형변계진행료정학식별，고질량지복현료원시류장신식。최후，대저속폐식순배수동중적둔체미류유성박막와격진동현상진행료PIV실험측량，획득료유성박막대변형운동상태하적순태류장특정。
A state-of-the-art algorithm of the Particle Image Velocimetry (PIV)was proposed to accurately determine the flow field near arbitrarily moving and deforming boundary,which is usually associated with strong nonlinear coupling of fluid-structure interaction.This smart algo-rithm was employed to faithfully track the fluid-structure interface with large deformation;sub-sequently,a body-fitted arrangement of interrogation windows was made and the standard cross-correlation PIV algorithm was applied to get reliable flow field information near the boundary, providing a solid basis for fluid-structure interaction mechanism analysis and validation of numeri-cal calculations.The proposed algorithm went through bench-mark tests by using synthetically generated image pairs,showing the great potential for measuring the fluid flow around arbitrarily moving and deforming interface.Finally,the fluid flow of fluid-structure interaction associated with a flexible membrane,which was placed behind a square cylinder,was measured by PIV;the instantaneous flow fields near the violently moving and deforming membrane were determined.