LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Hargreaves, JA; Kendrick, P; Von-Hunerbein, SUM
Publisher: Acoustical Society of America
Languages: English
Types: Article
Subjects: built_and_human_env, energy
Identifiers:doi:10.1121/1.4835955
This paper describes a numerical method for simulating far-field scattering from small regions of inhomogeneous temperature fluctuations. Such scattering is of interest since it is the mechanism by which acoustic wind velocity profiling devices (Doppler SODAR) receive backscatter. The method may therefore be used to better understand the scattering mechanisms in operation and may eventually provide a numerical test-bed for developing improved SODAR signals and post-processing algorithms. The method combines an analytical incident sound model with a k-space model of the scattered sound close to the inhomogeneous region and a near-to-far-field transform to obtain far-field scattering patterns. Results from two test case atmospheres are presented: one with periodic temperature fluctuations with height and one with stochastic temperature fluctuations given by the Kolmogorov spectrum. Good agreement is seen with theoretically predicted far-field scattering and the implications for multi-frequency SODAR design are discussed.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 3A. Nagaraju, A. Kamalakumari, and M. Purnachandra Rao, “Application of pulse compression techniques to monostatic doppler SODAR,” Glob. J. Res. Eng. 10, 37-40 (2010). Available online at http://www. engineeringresearch.org/index.php/GJRE/article/view/53/52.
    • 4T. J. Cox, “Acoustic iridescence,” J. Acoust. Soc. Am. 129, 1165-1172 (2011).
    • 5V. I. Tatarski, Wave Propagation in a Turbulent Medium (Dover Publications Inc., New York, 1961), 285 pp.
    • 6M. A. Kallistratova, “Backscattering and reflection of acoustic waves in the stable atmospheric boundary layer,” IOP Conf. Ser. Earth Environ. Sci. 1, 14 (2008).
    • 7V. E. Ostashev, Acoustics in Moving Inhomogeneous Media (Spon Press, London, 1997), 259 pp.
    • 8M. Legg, “Multi-frequency clutter-rejection algorithms for acoustic radars,” Masters thesis, The University of Auckland, Auckland, Australia, 2007.
    • 9B. Piper, S. Bradley, and S. von Hunerbein, “Calibration method principles for monostatic sodars,” UPWIND Project Report (University of Salford, Manchester, UK, 2007).
    • 10R. Blumrich and R. Heimann, “A linearized Eulerian sound propagation model for studies of complex meteorological effects,” J. Acoust. Soc. Am. 112, 446-455 (2002).
    • 11V. E. Ostashev, D. K. Wilson, L. Liu, D. F. Aldridge, N. P. Symons, and D. Marlin, “Equations for finite-difference, time-domain simulation of sound propagation in moving inhomogeneous media and numerical implementation,” J. Acoust. Soc. Am. 117, 503-517 (2005).
    • 12D. K. Wilson and L. Liu, Finite-Difference, Time-Domain Simulation of Sound Propagation in a Dynamic Atmosphere (US Army Corps of Engineers Engineer Research and Development Center, Hanover, NH, 2004).
    • 13S. Cheinet, L. Ehrhardt, D. Juve, and P. Blanc-Benon, “Unified modeling of turbulence effects on sound propagation,” J. Acoust. Soc. Am. 132(4), 2198-2209 (2012).
    • 14R. J. Luebbers and M. Schneider, “A finite-difference time-domain near zone to far zone transformation,” IEEE Trans. Ant. Prop. 39, 429-433 (1991).
    • 15A. Taflove and S. C. Hagness, Computational Electrodynamics-The Finite Difference Time-Domain Method (Artech House, Norwood, MA, 2005), 1038 pp.
    • 16M. Tabei, T. D. Mast, and R. C. Waag, “A k-space method for coupled first-order acoustic propagation equations,” J. Acoust. Soc. Am. 111, 53-63 (2002).
    • 17M. Hornikx, R. Waxler, and J. Forssen, “The extended fourier pseudospectral time-domain method for atmospheric sound propagation,” J. Acoust. Soc. Am. 128, 1632-1646 (2010).
    • 18B. E. Treeby and B. T. Cox, “k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave-fields,” J. Biomed. Opt. 15 021314 (2010), http://www.k-wave.org/ (Last viewed 13 May 2013).
    • 19X. Yuan, D. Borup, J. Wiskin, M. Berggren, and S. A. Johnson, “Simulation of acoustic wave propagation in dispersive media with relaxation losses by using FDTD method with PML absorbing boundary condition,” IEEE Trans. Ultrason. Ferroelectr. Freq. Control 46, 14-23 (1999).
    • 20A. D. Pierce, Acoustics: An Introduction to its Physical Principles and Applications (Acoustical Society of America, New York, 1989).
    • 21P. Kendrick and S. V. Hu€nerbein, “Pulse compression in SODAR,” 16th International Symposium for the Advancement of Boundary-Layer Remote Sensing, Boulder, CO (2012).
    • 22E. M. Salomons, Computational Atmospheric Acoustics (Kluwer Academic Publisher, Boston, MA, 2001), 348 pp.
    • 23R. Frehlich, L. Cornman, and R. Sharman, “Simulation of threedimensional turbulent velocity fields,” J. Appl. Meteorol. 40(2), 246-258 (2001).
  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.

Share - Bookmark

Cite this article