Hostname: page-component-7bb8b95d7b-cx56b Total loading time: 0 Render date: 2024-09-18T21:39:25.014Z Has data issue: false hasContentIssue false

Measurement of fluid turbulence based on pulsed ultrasound techniques. Part 1. Analysis

Published online by Cambridge University Press:  20 April 2006

Joseph L. Garbini
Affiliation:
Department of Mechanical Engineering, University of Washington, Seattle, U.S.A.
Fred K. Forster
Affiliation:
Department of Mechanical Engineering, University of Washington, Seattle, U.S.A.
Jens E. Jorgensen
Affiliation:
Department of Mechanical Engineering, University of Washington, Seattle, U.S.A.

Abstract

The pulsed ultrasonic Doppler velocimeter has been used extensively in transcutaneous measurement of the velocity of blood in the human body. It would be useful to evaluate turbulent flow with this device in both medical and non-medical applications. However, the complex behaviour and limitations of the pulsed Doppler velocimeter when applied to random flow have not yet been fully investigated.

In this study a three-dimensional stochastic model of the pulsed ultrasonic Doppler velocimeter for the case of a highly focused and damped transducer and isotropic turbulence is presented. The analysis predicts the correlation and spectral functions of the Doppler signal and the detected velocity signal. The analysis addresses specifically the considerations and limitations of measuring turbulent intensities and one-dimensional velocity spectra.

Results show that the turbulent intensity can be deduced from the broadening of the spectrum of the Doppler signal and a mathematical description of the effective sample-volume directivity.

In the measurement of one-dimensional velocity spectra at least two major complicacations are identified and quantified. First, the presence of a time-varying, broad-band random process (the Doppler ambiguity process) obscures the spectrum of the random velocity. This phenomenon is similar to that occurring in laser anemometry, but the ratio of the level of the ambiguity spectrum to the largest detected velocity spectral component can be typically two to three orders of magnitude greater for ultrasonic technique owing to the much greater wavelength.

Secondly, the spatial averaging of the velocity field in the sample volume causes attenuation in the measured velocity spectrum. For the ultrasonic velocimeter, this effect is very significant.

The influence of the Doppler ambiguity process can be reduced by the use of two sample volumes on the same acoustic beam. The signals from the two sample volumes are cross-correlated, removing the Doppler ambiguity process, while retaining the random velocity. The effects of this technique on the detected velocity spectrum are quantified explicitly in the analysis for the case of a three-dimensional Gaussianshaped sample-volume directivity.

Type
Research Article
Copyright
© 1982 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Baker, D. W., Johnson, S. L. & Strandness, D. E. 1973 Prospects for quantification of transcutaneous pulsed ultrasonic Doppler techniques in cardiology and peripheral vascular disease. In Cardiovascular Applications of Ultrasound, pp. 108124.
Batchelor, G. K. 1949 Diffusion in a field of homogeneous turbulence. I. Eulerian analysis. Austr. J. Sci. Res. A 2, 437450.Google Scholar
Berman, W. S. & Dunning, J. W. 1973 Pipe flow measurements of turbulence and ambiguity using laser-Doppler velocimetry. J. Fluid Mech. 61, 289299.Google Scholar
Brody, W. R. & Meindle, J. D. 1974 Theoretical analysis of the Doppler ultrasonic flowmeter. I.E.E.E. Trans. Biomed. Engng BME 12, 183–192.
Clark, W. H. 1970 Measurement of two-point correlations in a pipe using laser velocimeters. Ph.D. thesis, Dept of Aerospace Engng, University of Virginia, Charlottesville.
Durrani, T. S. & Greated, C. A. 1973 Statistical analysis and computer simulation of laser Doppler velocimeter systems. I.E.E.E. Trans. Instrum. & Measurement IM 22, 23–34.
Edwards, R. V. & Angus, J. C., 1971 Spectral analysis of the signal from the laser Doppler flowmeter: time independent systems. J. Appl. Phys. 42, 837850.Google Scholar
Flax, S. W., Webster, J. G. & Stuart, J. W. 1971 Statistical evaluation of the Doppler ultrasonic blood flow meter. I.S.A. Trans. 10, 120.Google Scholar
Forster, F. K., Garbini, J. L. & Jorgensen, J. E. 1976 Hemodynamic turbulence measurement using ultrasonic techniques. In Proc. 4th Ann. New England Bioengng Cong., New Haven, Conn. (ed. S. Saha), pp. 12231226. Pergamon.
Garbini, J. L. 1978 Measurement of fluid turbulence based on pulsed ultrasound techniques. Ph.D. dissertation. Dept Mechanical Engng, Univ. Washington, Seattle.
Garbini, J. L., Forster, F. K. & Jorgensen, J. E. 1982 Measurement of fluid turbulence based on pulsed ultrasound techniques. Part 2. Experimental investigation. J. Fluid Mech. 118, 471505.Google Scholar
George, W. K. & Lumley, J. L. 1973 The laser-Doppler velocimeter and its application to the measurement of turbulence. J. Fluid Mech. 60, 321363.Google Scholar
Jorgensen, J. E. & Garbini, J. L. 1974 An ultrasonic procedure of calibration for the pulsed ultrasonic Doppler flowmeter. Trans. A.S.M.E. I, J. Fluids Engng 96, 158167.Google Scholar
Laufer, J. 1954 The structure of turbulence in fully-developed pipe flow. NACA Rep. no. 1174.
Lawson, J. L. & Ulenbech, G. E. 1950 Threshold Signals, p. 369. MIT Press.
Van Maanen, H. R. E., van der Molen, J. B. & Blom, J. 1975 Reduction of ambiguity noise in laser-Doppler velocimetry by a cross correlation technique. In The Accuracy of Flow Measurements by Laser Doppler Methods: Proc. LDA Symp., Technical University of Denmark (ed. P. Buchhave), pp. 8188. Hemisphere.
Mcleod, F. D. 1973 Multichannel pulse Doppler techniques: cardiovascular applications of ultrasound. In Proc. Int. Symp. held at Janssen Pharmaceutica, Beerse, Belgium (ed. R. Reneman), pp. 85107. North-Holland.
Middleton, D. 1950 Spectrum of frequency-modulated waves. Quart. Appl. Math. 8, 5981.Google Scholar
Newhouse, V. L. 1973 Transit time broading in ultrasonic Doppler flow measurement systems. Purdue University School of Elec. Engng Int. Rep.Google Scholar
Newhouse, V. L., Varner, W. V. & Bendick, P. J. 1977 Geometrical spectrum broadening in ultrasonic Doppler systems. I.E.E.E. Trans. Biomed. Engng BME 24, 478–480.
Pao, Yhi-Ho 1965 Structure of turbulent velocity and scalar fields at large wave numbers. Phys. Fluids 8, 10631075.Google Scholar
Rice, S. O. 1945 Mathematical analysis of random noise. Bell. Syst. Tech. J. 24, 46159.Google Scholar
Rice, S. O. 1949 Statistical properties of a sine wave plus random noise. Bell Syst. Tech. J. 27, 109157.Google Scholar
Rogers, R. R. & Tripp, B. R. 1964 Some radar measurements of turbulence in snow. J. Appl. Met. 3, 603610.Google Scholar
Srivastava, R. C. & Atlas, D. 1974 Effect of finite radar pulse volume on turbulence measurements. J. Appl. Met. 13, 472480.Google Scholar
Sychra, J. 1972a Inverse problem in the theory of turbulence filtering by the radar pulse volume. Preprints of 15th Radar Met. Conf., Urbana, pp. 285291. American Met. Soc.
Sychra, J. 1972b On the Theory of Pulse-Volume filtering of the Turbulence Reflectivity and Velocity Fields. Lab. for Atmos. Probing, Dept Geophys. Sci., University of Chicago.