Virtual reality-based adaptive dose assessment method for arbitrary geometries in nuclear facility decommissioning

Area of Science:

• Nuclear Engineering
• Radiation Protection
• Virtual Reality Applications

Background:

• Nuclear facility decommissioning involves complex cutting and dismantling tasks.
• Accurate dose assessment is critical for worker safety and environmental protection.
• Existing methods may lack efficiency or flexibility in modeling complex geometries.

Purpose of the Study:

• To present an improved and efficient virtual reality-based adaptive dose assessment method (VRBAM).
• To enhance dose calculation accuracy and efficiency for nuclear decommissioning.
• To provide a flexible tool for modeling arbitrary and complex geometries.

Main Methods:

• Utilized virtual reality (VR) and adaptive technology for dose assessment.
• Generated hybrid models (cuboids and point-clouds) from 3D CAD designs.
• Developed an adaptive point-cloud simplification for efficient point kernel generation.
• Employed the point kernel method for dose rate calculation with geometric progression buildup factors.

Main Results:

• VRBAM demonstrated superior flexibility and accuracy in modeling complex geometries compared to other methods.
• The proposed method showed improved computational efficiency.
• Simulation results validated the geometric modeling capabilities for various surface types.

Conclusions:

• VRBAM offers an efficient and flexible solution for dose assessment in nuclear decommissioning.
• The adaptive modeling approach enhances accuracy and computational speed.
• This method is suitable for arbitrary geometries encountered in dismantling operations.