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Updated: Aug 14, 2026
11:27
Synthesis and Characterization of Functionalized Metal-organic Frameworks
Published on: September 5, 2014
A time-dependent dose model for glovebox processing of fissile material
H Omar Wooten1, Donald J Dudziak, Nolan E Hertel
1Los Alamos National Laboratory, University of California, P.O. Box 1663, Los Alamos, NM 87545, USA. hasani@lanl.gov
Radiation Protection Dosimetry
|December 31, 2005
Summary
A new modeling system, PANDEMONIUM, estimates radiation dose rates from neutrons and photons in plutonium facilities. It offers quick, accurate assessments for complex scenarios, improving safety modeling.
Area of Science:
- Nuclear engineering
- Radiation physics
- Computational modeling
Background:
- Accurate modeling of radiation fields is crucial for nuclear facility safety.
- Conventional methods for dose rate calculations can be impractical or costly for complex scenarios.
- High-intensity neutral particle radiation poses significant risks in plutonium processing.
Purpose of the Study:
- To present a new modeling system, PANDEMONIUM, for calculating effective dose rates.
- To introduce time-dependent neutronics and transient positions for enhanced accuracy.
- To provide a practical and cost-effective solution for radiation field assessment.
Main Methods:
- Development of the PANDEMONIUM code for simulating neutron and photon radiation.
- Implementation of time-dependent neutronics for source multiplication.
- Inclusion of transient source and detector positions for dynamic modeling.
- Extension of the energy range to incorporate prompt-fission photons.
Main Results:
- The PANDEMONIUM code calculates external effective dose rates from neutrons and photons.
- The system handles time-dependent neutronics and transient source/detector positions.
- The code provides quick and acceptably accurate total effective dose estimates.
- The extended energy range accounts for prompt-fission photons.
Conclusions:
- PANDEMONIUM offers a valuable tool for assessing radiation fields in industrial facilities.
- The code provides a practical alternative to conventional, more costly modeling methods.
- Enhanced modeling capabilities improve the accuracy and applicability of dose rate estimations.
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