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A novel computational framework for efficient nuclear containment design: Structural integrity, radiation shielding, and reliability assessment

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  • Saxena, Sanchit
  • Kumar, Suman
  • Sharma, Hrishikesh

Abstract

This research introduces a novel, multidisciplinary framework for the design of nuclear containment structures (NCS), integrating radiation shielding, structural integrity, and reliability assessment. Unlike conventional approaches, this study uniquely incorporates moment-curvature (M-ϴ) analysis for structural evaluation, Monte Carlo (MC) simulations for radiation shielding performance, and reliability analysis to ensure robust and efficient design. Radiation shielding studies showed that primary particles' effective dose rate (EDR) varies significantly with rebar configurations, while secondary particle EDR remains constant, decreasing only with increased section thickness. A novel SD factor was introduced to quantify the impact of rebar spacing and size on primary EDR values, providing a new metric for optimizing shielding efficiency. M-ϴ analysis identified 37 configurations with equivalent yield moments for targeted strength levels. Optimal rebar configurations for each section thickness were identified, with changes in rebar configurations leading to up to 56.85 % variation in EDR, emphasizing the role of rebar in enhancing radiation shielding. Reliability analysis identified a 1.3 m section with 44 mm rebar at 195 mm spacing as ideal, ensuring 99.74 % (β=2.7995) reliability in maintaining safe EDR levels. These findings provide essential insights for standardized NCS guidelines that prioritize strength and radiation shielding for safer, efficient designs.

Suggested Citation

  • Saxena, Sanchit & Kumar, Suman & Sharma, Hrishikesh, 2025. "A novel computational framework for efficient nuclear containment design: Structural integrity, radiation shielding, and reliability assessment," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:reensy:v:260:y:2025:i:c:s095183202500239x
    DOI: 10.1016/j.ress.2025.111038
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