Low-Frequency Scattering by Correlated Distributions of Randomly Oriented Particles

Abstract

Random distributions of correlated scatterers averaged over orientation are considered, corresponding to isotropic fluids of statistical mechanics particles (with volume v, number concentration p, and volume fraction w = pv). For minimum separation of centers small compared to wavelength and acoustic particle parameters close to the embedding medium's, the incoherent differential scattering from unit volume and the corresponding attenuation coefficient are proportional to the fluctuations (variance) in number concentration. For arbitrary convex hard particles (e.g., ovals or simple polyhedra, repulsive at contact) with shape parameter c > or = 3, the variance is expressed in terms of a quotient S(c;w) of polynomials in w that has a maximum S1 (c) at w1 (c). Spheres (c = 3) were considered earlier. For c > 3, the fluctuations and S1 and w1 are smaller than for spheres; for c < 3 (which we consider formally), they are larger than for spheres. The results are interpreted by comparing leading terms with the second virial coefficients for more general statistical mechanics models. Scattering data for suspensions of discoidal red blood cells versus w under different flow conditions can be fitted adequately by S(c;w) for different values of c < 3. The low values of c suggest weaker repulsion between deformable cells, and attractive interparticle forces mediated by flow and aggregative trends. Reprints. (jhd)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA222179

Entities

People

  • Victor Twersky

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Backscattering
  • Equations
  • Fluids
  • Forward Scattering
  • Frequency
  • Geometric Forms
  • Geometry
  • Incoherent Scattering
  • Integral Equations
  • Lines (Geometry)
  • Mechanics
  • New York
  • Orientation (Direction)
  • Scattering
  • Statistical Mechanics
  • Three Dimensional
  • Two Dimensional

Readers

  • Calculus or Mathematical Analysis
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Regression Analysis.