报告人：Prof. Sean F. Wu
时间：2016-7-27（周三）上午9:00~11:00
地点：浙江大学玉泉校区液压老楼四楼会议室
欢迎各位老师和同学的积极参加！
Speaker Bio: Sean F. Wu received his BSME from Zhejiang University (China); MSME and Ph.D. from Georgia Institute of Technology (USA). Dr. Wu joined the Department of Mechanical Engineering at Wayne State University (WSU) in 1988; became a tenure-track Assistant Professor in 1990; promoted to an Associate Professor in 1995 and a Professor in 1999; voted unanimously as the Charles DeVlieg Professor of Mechanical Engineering in 2002; and appointed by the Board of Governors to the rank of University Distinguished Professor in 2005. Dr. Wu holds the rank of Fellow in the Acoustical Society of America (ASA) and the American Society of Mechanical Engineers (ASME). Currently, Dr. Wu serves as an Associate Editor for the Journal of the Acoustical Society of America (JASA), Managing Editor and Co-Editor-in-Chief for the Journal of Computational Acoustics (JCA).
报告内容：在应对和处理噪声和振动问题时，通常自然的趋势是使用多个传感器以期获得声源的更多信息并从本质层面考察声辐射问题，例如，在风洞实验中通常需要使用120个麦克风的声成像系统（Beamforming）来寻找车辆的空气动力噪声声源 。本报告论证及展示了开发创新技术要比依赖多个传感器更加有效。本报告描述的创新技术能使我们获取声源及其声场综合信息，包括声源在三维空间的坐标分布，声源本身的声压级和声压谱，以及声场在任意形状表面和媒质中声压级分布、声强级、声强谱，声强矢量在任意形状表面上的分布，以及三维空间声辐射模式。特别强调的是，这项创新技术使得我们能够将所捕捉到的目标声源与其有关的5个物理量：时间-空间-频率-视觉-听觉（时空频视听）效应完全关联起来。使用该创新技术仅需6个麦克风既能获得所有如上所述信息。该创新技术原理包括智能声达（Smart Sonic Detection and Ranging）与赫姆霍兹方程最小二乘（Helmholts Equation Least Squares）：前者用于盲声源三维空间坐标定位，后者用于三维空间声场重构。本文将演示使用该创新技术获取复杂声源所产生的“时空频视听”相互效应的例子。
