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Effective density and mass attenuation coefficient for building material in Brazil.

I C P Salinas1, C C Conti, R T Lopes

  • 1Instituto de Radioproteção e Dosimetria, CNEN/IRD, P.O. Box 37750, 22780-160 Rio de Janeiro, Brazil. poquet@ird.gov.br

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|November 1, 2005
PubMed
Summary

This study determined the density and mass attenuation coefficients for Brazilian building materials. These values are crucial for radiation shielding simulations, showing good agreement with existing literature.

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Area of Science:

  • Physics
  • Materials Science
  • Nuclear Engineering

Background:

  • Accurate data on building material properties is essential for radiation shielding design.
  • Existing literature may not cover materials specific to certain regions, like Brazil.
  • Monte Carlo simulations require precise input parameters for reliable results.

Purpose of the Study:

  • To determine the density and mass attenuation coefficients of common Brazilian building materials.
  • To provide essential data for radiation shielding simulations using MCNP4B code.
  • To validate the simulated effective density of clay bricks.

Main Methods:

  • Transmission measurements were conducted to obtain experimental data.
  • MCNP4B (Monte Carlo N-Particle Transport Code version 4B) code was used for simulations.

Related Experiment Videos

  • Clay brick structures were modeled as a mixture of layers to determine effective density.

    • Main Results:

    • Density and mass attenuation coefficients were determined for gamma-ray energies from 50 to 3,000 keV.
    • An effective density was calculated for simulated clay brick structures.
    • Experimental and simulated data showed good agreement with literature values for similar materials.

    Conclusions:

    • The study successfully provides key physical parameters for Brazilian building materials.
    • The data is suitable for use in radiation shielding calculations and simulations.
    • The findings support the use of MCNP4B code with effective material properties.