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The effect of pore size and density on ultrasonic attenuation in porous structures with mono-disperse random pore distribution: A two-dimensional in-silico study.
Yousefian, Omid; White, R D; Karbalaeisadegh, Yasamin; Banks, H T; Muller, Marie.
Afiliação
  • Yousefian O; Mechanical and Aerospace Engineering Department, North Carolina State University, Raleigh, North Carolina 27695-8212, USA.
  • White RD; Center for Research in Scientific Computation, North Carolina State University, Raleigh, North Carolina 27695-8212, USA.
  • Karbalaeisadegh Y; Mechanical and Aerospace Engineering Department, North Carolina State University, Raleigh, North Carolina 27695-8212, USA.
  • Banks HT; Center for Research in Scientific Computation, North Carolina State University, Raleigh, North Carolina 27695-8212, USA.
  • Muller M; Mechanical and Aerospace Engineering Department, North Carolina State University, Raleigh, North Carolina 27695-8212, USA.
J Acoust Soc Am ; 144(2): 709, 2018 Aug.
Article em En | MEDLINE | ID: mdl-30180715
ABSTRACT
This work proposes a power law model to describe the attenuation of ultrasonic waves in non-absorbing heterogeneous media with randomly distributed scatterers, mimicking a simplified structure of cortical bone. This paper models the propagation in heterogeneous structures with controlled porosity using a two-dimensional finite-difference time domain numerical simulation in order to measure the frequency dependent attenuation. The paper then fits a phenomenological model to the simulated frequency dependent attenuation by optimizing parameters under an ordinary least squares framework. Local sensitivity analysis is then performed on the resulting parameter estimates in order to determine to which estimates the model is most sensitive. This paper finds that the sensitivity of the model to various parameter estimates depends on the micro-architectural parameters, pore diameter (ϕ) and pore density (ρ). In order to get a sense for how confidently model parameters are able to be estimated, 95% confidence intervals for these estimates are calculated. In doing so, the ability to estimate model-sensitive parameters with a high degree of confidence is established. In the future, being able to accurately estimate model parameters from which micro-architectural ones could be inferred will allow pore density and diameter to be estimated via an inverse problem given real or simulated ultrasonic data to be determined.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Qualitative_research Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Qualitative_research Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos