Abstract
The overall objective of this dissertation is to effectively and efficiently obtain some important characteristic functions of acoustic transducers, such as electrical impedance function, transmitting voltage response (TVR) and beam pattern (BP). Oftentimes, one makes measurements on these functions through traditional ways, e.g., stepped harmonic analysis method and Fourier-based analysis method. To improve the accuracy and efficiency of computing these characteristics, new approaches by pole-residue operations are developed and verified in this dissertation. In this new approach, the poles and residues associated with the input and output signals are extracted with the multi-signal Prony-SS method, which is an extension and improvement of the classical Prony’s method. The system functions can be computed by the operations of those poles and residues from input and output signals. Compared with traditional methods, the new one not only turns out effective and computationally efficient but also overcomes the leakage and the frequency resolution problems, by getting a continuous function in the frequency domain without periodic assumption. In addition, many significant characteristics, such as modal frequencies and modal damping, can be precisely calculated from the system poles other than reading them from the plotting of system functions in traditional ways. When a periodic loading excites the linear system, the calculation of transient response is discussed in manuscript 1. Compared with time-domain methods, frequency-domain methods are more computationally efficient when computing the responses of linear dynamic systems. However, frequency-domain methods can only compute the steady-state response instead of the total response. To the author’s best knowledge, the transient response of a dynamic system to arbitrary periodic loading can not be solved analytically. In the first manuscript, a closed-form solution for the transient responses of linear multi-degree-of-freedom (MDOF) systems to arbitrary periodic excitations is derived. By taking advantage of the fast Fourier transform (FFT) algorithm, a very efficient numerical method is developed to compute the transient and total responses of MDOF systems, suitable for both damped and undamped systems. In the newly developed method, the computational time required for obtaining the transient response is much less than that for the steady state response. Three numerical examples are provided in this manuscript to verify the correctness, and demonstrate the effectiveness as well, of the newly developed method. Discussed in the second manuscript is the impedance function, which is very essential for a transducer. The impedance function contains many important characteristics, such as the resonant frequencies, anti-resonant frequencies, and
Highlights
Introduction and literature reviewSystem functions are commonly used in the analysis of systems which are linear time-invariant or having behavior that is close enough to linear
It showed that the transient response could be obtained in a similar fashion as the steady-state response, but the roles of the system and excitation were reversed
Together with the fast Fourier transform (FFT) algorithm, a very efficient numerical method has been developed to compute the total response for MDOF systems, suitable for both damped and undamped systems
Summary
Introduction and literature reviewSystem functions are commonly used in the analysis of systems which are linear time-invariant or having behavior that is close enough to linear. Computing the dynamic response of a linear multiple-degree-of-freedom (MD-OF) system to periodic loading, operated in the frequency domain, is considered in this paper. And efficiently estimating these characteristics becomes significant for applications of acoustic transducers Measurements of these functions are usually carried out at one single frequency or over a range of frequencies of interest in the frequency domain. The Fourier method computes characteristic functions through the application of the fast Fourier transform (FFT) of both input and output signals, and is considered to be an efficient way on estimating FRF. The pressure signals are usually contaminated by the reflected waves from boundaries when measured in acoustic tank with traditional methods
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