Coleman, Justin Leigh; Kammerer, Annie M.; Whittaker, Andrew S.
Idaho National Laboratory (INL), Idaho Falls, ID (United States). Funding organisation: USDOE Office of Nuclear Energy - NE (United States)2016
Idaho National Laboratory (INL), Idaho Falls, ID (United States). Funding organisation: USDOE Office of Nuclear Energy - NE (United States)2016
AbstractAbstract
[en] Over the last decade, particularly since implementation of the certified design regulatory approaches outlined in 10 CFR 52, 'Licenses, Certifications, and Approvals for Nuclear Power Plants,' interest has been increasing in the use of seismic isolation (SI) technology to support seismic safety in nuclear facilities. In 2009, the United States (U.S.) Nuclear Regulatory Commission (NRC) initiated research activities to develop new guidance targeted at isolated facilities because SI is being considered for nuclear power plants in the U.S. One product of that research, which was developed around a risk-informed regulatory approach, is a draft NRC NUREG series (NUREG/CR) report that investigates and discusses considerations for use of SI in otherwise traditionally founded large light water reactors (LWRs). A coordinated effort led to new provisions for SI of LWRs in the American Society of Civil Engineers standard ASCE/SEI 4-16, 'Seismic Analysis of Safety Related Nuclear Structures.' The risk-informed design philosophy that underpinned development of the technical basis for these documents led to a set of proposed performance objectives and acceptance criteria intended to serve as the foundation for future NRC guidance on the use of SI and related technology. Although the guidance provided in the draft SI NUREG/CR report and ASCE/SEI 4 16 provides a sound basis for further development of nuclear power plant designs incorporating SI, these initial documents were focused on surface-founded or near-surface-founded LWRs and were, necessarily, limited in scope. For example, there is limited information in both the draft NUREG/CR report and ASCE/SEI 4-16 related to nonlinear analysis of soil-structure systems for deeply-embedded reactors, the isolation of components, and the use of vertical isolation systems. Also not included in the draft SI NUREG/CR report are special considerations for licensing of isolated facilities using the certified design approach in 10 CFR 52 and a detailed discussion of seismic probabilistic risk assessments for isolated facilities.
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1 Dec 2016; 53 p; OSTIID--1364088; AC07-05ID14517; Available from https://inldigitallibrary.inl.gov/sites/sti/sti/7267866.pdf; PURL: http://www.osti.gov/servlets/purl/1364088/
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Advanced Seismic Probabilistic Risk Assessment Methodology: Development of Beta 1.0 MASTODON Toolset
Bolisetti, Chandu; Veeraraghavan, Swetha; Slaughter, Andrew; Coleman, Justin L.; Kammerer, Annie M.
Idaho National Laboratory (INL), Idaho Falls, ID (United States). Funding organisation: USDOE Office of Nuclear Energy - NE (United States)2017
Idaho National Laboratory (INL), Idaho Falls, ID (United States). Funding organisation: USDOE Office of Nuclear Energy - NE (United States)2017
AbstractAbstract
[en] Design of nuclear power plant (NPP) facilities to resist natural hazards has been a part of the regulatory process from the beginning of the NPP industry in the United States, but has evolved substantially over time. The original set of approaches and methods was entirely deterministic in nature and focused on a traditional engineering margins-based approach. However, over time probabilistic and risk-informed approaches were also developed and implemented in US Nuclear Regulatory Commission guidance and regulation. A defense-in-depth framework has also been incorporated into US regulatory guidance over time. As a result, today, the US regulatory framework incorporates deterministic and probabilistic approaches for a range of different applications and for a range of natural hazard considerations. Although the US regulatory framework has continued to evolve over time, the tools, methods and data available to the US nuclear industry to meet the changing requirements have not kept pace. Notably, there is room for improvement in the tools and methods available for external event probabilistic risk assessment (PRA), which is the principal assessment approach used in risk-informed regulations and risk-informed decision-making applied to natural hazard assessment and design. Development of a new set of tools and methods that incorporate current knowledge, modern best practice, and state-of-the-art computational resources would lead to more reliable assessment of facility risk and risk insights (e.g., the plant elements and accident sequences that are most risk-significant), with less uncertainty and reduced conservatisms. Development of the next generation tools and methods for external events PRA is ongoing under the Risk Informed Safety Margins Characterization (RISMC) technical pathway. The RISMC toolkit development centers on integration of the tools and methods under a common framework, MOOSE. These tools and methods make use of existing and newly developed tools and methods, coupled with the experience and data gained in the past decades, to define and analyze more realistic risk assessment models. Specific focus in this report is on the capability to model seismic risk using advanced SPRA methods. Over the last year, significant capability has been added to Mastodon to simulate 3-D wave passage effects through nonlinear soil. Verification has demonstrated the capability of Mastodon to model wave passage effects in 1-D, 2-D, and 3-D. Methods have been developed to incorporate probabilistic floor response capabilities. Additional capability will be added to Mastodon over the next year to implement a robust gapping and sliding element for cyclic shaking, web-based verification and user manuals, stochastic finite elements, and frequency independent damping. Verification of added capabilities has occured in parallel with code writing activities.
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1 Aug 2017; 44 p; OSTIID--1466787; AC07-05ID14517; Available from https://www.osti.gov/servlets/purl/1466787; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period; DOI: 10.2172/1466787
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