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Area of Science:

  • Radiation Physics
  • Computational Modeling
  • Nuclear Engineering

Background:

  • Gamma-radiation dose rates in enclosed spaces are influenced by various physical parameters.
  • Accurate estimation is crucial for radiation protection and shielding design.
  • Existing models often simplify or omit complex room geometries.

Purpose of the Study:

  • To enhance a simulation model for estimating gamma-radiation dose rates within rooms.
  • To investigate the impact of previously studied factors (detection point, room dimensions, wall thickness, material density).
  • To introduce and analyze two novel factors: the presence of adjacent rooms and segmented walls.

Main Methods:

  • Development of a simulation model for gamma-radiation dose rate calculation.
  • Utilized Monte Carlo N-Particle (MCNP) simulation software for calculations.
  • Performed relative dose rate calculations across a range of parameter values.

Main Results:

  • The simulation model successfully integrated previously identified dose rate influencing factors.
  • Introduced and quantified the impact of a neighboring room on internal dose rates.
  • Assessed the effect of a wall divided into two portions on radiation attenuation.

Conclusions:

  • The refined simulation model provides a more comprehensive tool for dose rate estimation.
  • Neighboring rooms and split walls are significant factors affecting internal gamma radiation exposure.
  • The study contributes to improved radiation shielding strategies in architectural and nuclear applications.