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Methodology for a bounding estimate of activation source-term.

Todd Culp1

  • 1Sandia National Laboratories, PO Box 5800, MS1198, Albuquerque, NM 87185, USA.

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Researchers developed a systematic method to evaluate materials for the Z-Machine, the world's most powerful radiation source. This approach aids in understanding activation products and managing work safely.

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Area of Science:

  • Nuclear physics and engineering
  • Materials science
  • Radiation safety

Background:

  • Sandia National Laboratories' Z-Machine is the most powerful electrical device and radiation source globally.
  • Research experiments on the Z-Machine involve introducing various materials, leading to diverse activation products.
  • Existing methods for evaluating materials and their resulting radionuclides are insufficient for complex Z-Machine experiments.

Purpose of the Study:

  • To develop a systematic methodology for evaluating materials intended for use in Z-Machine experiments.
  • To provide a framework for bounding calculations of radionuclide source-terms.
  • To support work planning, development of work controls, and material selection for the Z-Machine.

Main Methods:

  • The methodology integrates experiment-specific characteristics, physical properties of radionuclides, and operational experience with the Z-Machine.
  • It involves a systematic approach to assess potential materials for wire-array experiments.
  • Bounding calculations are initiated based on the evaluated material properties and experimental conditions.

Main Results:

  • A structured methodology for material evaluation in the context of Z-Machine experiments has been established.
  • The methodology facilitates the prediction and bounding of radionuclide activation products.
  • It provides a foundation for informed decision-making regarding material introduction and safety protocols.

Conclusions:

  • The developed methodology offers a crucial starting point for assessing radionuclide source-terms in Z-Machine research.
  • This systematic approach enhances safety and efficiency in planning and executing experiments.
  • It is vital for managing activation products and ensuring the safe operation of the Z-Machine.