Estimation of structural wave numbers from spatially sparse response measurements.

A method is presented for estimating the complex wave numbers and amplitudes of waves that propagate in damped structures, such as beams, plates, and shells. The analytical basis of the method is a wave field that approximates response measurements in an aperture where no excitations are applied. At each frequency, the method iteratively adjusts wave numbers to best approximate response measurements, using wave numbers at neighboring frequencies as initial estimates in the search. In comparison to existing methods, the method generally requires far fewer measurement locations and does not require evenly spaced locations. The number of locations required by the method scales with the number of waves that propagate in the structure, whereas the number of locations required by existing methods scales with the minimum wavelength. In addition, the method allows convenient inclusion of the analytic relationships between wave numbers that exist for flexural vibrations of beams and plates. Advantages of the method are illustrated by an example in which a beam is excited by a transverse force at one end. Using analytic data and experimental measurements, the method produces a wave field that matches response measurements to within 1 percent. One interesting feature of the new method is that, when applied to analytic data, it supplies more robust wave number estimates using responses at unevenly spaced locations.

[1]  T. Sarkar,et al.  Using the matrix pencil method to estimate the parameters of a sum of complex exponentials , 1995 .

[2]  L. Kirkup,et al.  Curve stripping and nonlinear fitting of polyexponential functions to data using a microcomputer , 1988 .

[3]  Jürg Dual,et al.  High-resolution analysis of the complex wave spectrum in a cylindrical shell containing a viscoelastic medium. Part II. Experimental results versus theory , 1997 .

[4]  Earl G. Williams,et al.  Complex wave‐number decomposition of structural vibrations , 1993 .

[5]  R. Kumaresan,et al.  Estimating the parameters of exponentially damped sinusoids and pole-zero modeling in noise , 1982 .

[6]  Stephen J. Wright,et al.  Algorithms for Nonlinear Least Squares with Linear Inequality Constraints , 1985 .

[7]  Ramdas Kumaresan,et al.  An algorithm for pole-zero modeling and spectral analysis , 1986, IEEE Trans. Acoust. Speech Signal Process..

[8]  E. Kerwin Damping of Flexural Waves by a Constrained Viscoelastic Layer , 1959 .

[9]  R. Kumaresan,et al.  Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood , 1982, Proceedings of the IEEE.

[10]  T. Plona,et al.  Axisymmetric wave propagation in fluid‐loaded cylindrical shells. I: Theory , 1992 .

[11]  Pierre E. Dupont,et al.  A WAVE APPROACH TO ESTIMATING FREQUENCY-DEPENDENT DAMPING UNDER TRANSIENT LOADING , 2000 .

[12]  Tapan K. Sarkar,et al.  Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise , 1990, IEEE Trans. Acoust. Speech Signal Process..

[13]  G. Bromage A QUANTIFICATION OF THE HAZARDS OF FITTING SUMS OF EXPONENTIALS TO NOISY DATA , 1983 .

[14]  En-Jui Lee,et al.  Calculation of the Complex Modulus of Linear Viscoelastic Materials from Vibrating Reed Measurements , 1955 .

[15]  Randolph L. Moses,et al.  Statistical analysis of TLS-based prony techniques , 1994, Autom..

[16]  T. Plona,et al.  Axisymmetric wave propagation in fluid‐loaded cylindrical shells: Theory versus experiment. , 1992 .

[17]  Jürg Dual,et al.  High-resolution analysis of the complex wave spectrum in a cylindrical shell containing a viscoelastic medium. Part I. Theory and numerical results , 1997 .