摘要
本文通过对粒子图象测速技术的改进，提出了数字可调脉冲光照和象增强技术，实现了在低功率激光照明下获得高象质的流动图象，从而提高流速测量的范围和精度。在此基础上，运用距离加权最小二乘法对离散实验数据进行网格化插补，并运用神经网络模型概念对插补流速值进行误差判别和修补。该系统运用于垂直进水口漩涡流场的测量。
The present study develops a particle image velocimetry technique with digital pulse adjustable light and image intensifier. High quality image can be achieved under low power laser light, and it can improve the range of measurement and the precision of system. Based on these techniques, the dispersed test velocity data are interpolated by the distance weighted least square method and nerve network method is applied to error correction. The system is successful applied to measure free surface vortex at vertical intake.
出处
《水动力学研究与进展（A辑）》
CSCD
北大核心
1999年第1期128-134,共7页
Chinese Journal of Hydrodynamics
关键词
流速测量
粒子图象测速
漩涡
流场
垂直进水口
flow velocity measurement, particle image velocimetry technique, nerve network, vortex.
