This book gives a comprehensive introduction to the Helmholtz Equation Least Squares (HELS) method and its use in diagnosing noise and vibration problems. In contrast to the traditional NAH technologies, the HELS method does not seek an exact solution to the acoustic field produced by an arbitrarily shaped structure. Rather, it attempts to obtain the best approximation of an acoustic field through the expansion of certain basis functions. Therefore, it significantly simplifies the complexities of the reconstruction process, yet still enables one to acquire an understanding of the root causes of different noise and vibration problems that involve arbitrarily shaped surfaces in non-free space using far fewer measurement points than either Fourier acoustics or BEM based NAH. The examples given in this book illustrate that the HELS method may potentially become a practical and versatile tool for engineers to tackle a variety of complex noise and vibration issues in engineering applications.
This book is written for those who want to learn the state-of-the-art technology on visualizing acoustic radiation from vibrating objects, to understand difficulties involved in these inverse acoustic problems, and to acquire the information necessary to conduct successful vibro-acoustic diagnostics on their own. Attention is focused on the new development on nearfield acoustical holography (NAH) beyond the traditional Fourier acoustics that are suitable for separable geometries only.
Specifically, it presents Helmholtz equation least squares (HELS) method, inverse Helmholtz integral equations implemented via boundary element method, hybrid NAH and transient NAH that can be employed to tackle various reconstruction of vibro-acoustic fields generated by arbitrary objects subject to arbitrarily time dependent excitations in free or confined space.
This book can serve both as a textbook for graduate students and as a reference book for acousticians, researchers and noise control engineers with basic knowledge of acoustics. Homework problems are included at the end of each chapter. In addition, examples of computer programs written in Matlab are provided for the readers' convenience.
Sean F. Wu
Helmholtz Least Squares Method implementation non-spherical nearfield acoustic holography predicting acoustic fields reconstructing acoustic fields solving NVH issues transient nearfield acoustical holography