ML21301A151
| ML21301A151 | |
| Person / Time | |
|---|---|
| Issue date: | 10/28/2021 |
| From: | Nancy Hebron-Isreal NRC/RES/PMDA |
| To: | |
| Hebron-Isreal N | |
| References | |
| Download: ML21301A151 (13) | |
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2021 Research and Development Grant Awards
Institution Amount Title Statistical Learning Based Multiscale Safety Analysis Kansas State University $499,768 Framework for Advanced Reactors Developing the Research Facilities, Shielding, and Licensing Worcester Polytechnic Institute Strategy for a Next-Generation Hybrid Research and Power
$499,509 University Nuclear Reactor Degradation Assessment of Advanced Welds for Pressure Purdue University $500,000 Vessels Measuring Total Hemispherical Emissivity of High-Temp University of Missouri Columbia $499,954 Reactor Materials Development of a Novel Multi-Modal In-Situ Detection System Supporting Human-Machine Collaboration in Core Virginia Polytechnic Institute $499,930 Monitoring and Control of Advanced Reactors Coupling Life-Cycle Impact Assessment and Risk Clemson University $499,859 Assessment for Sustainability-Informed Decision Making Development of a Soil-Structure-Interaction Framework in Support to Enhance Regulatory Oversight for Small Modular Auburn University $499,999 Reactors Advanced Characterization Of ATF Cladding for Virginia Commonwealth Understanding their Degradation Under Short-Time University $500,000 Temperature Excursions And Implications in Dry Storage In Vivo Measurement of Low Energy Photon Associated with University of Cincinnati $455,991 an Internal Deposition of Mixed Oxide Nuclear Fuel High-Fidelity Experiments and Simulations of Heat Pipe Performance under Steady-State, Transient, and Accident University of Texas at Arlington $500,000 Conditions Advanced Condition Monitoring of Dry Storage Canisters by University of Texas at Austin $500,000 Helical Guided Ultrasonic Waves A High-Throughput Approach to Establish the Regulatory Basis for Qualifying Laser Additive Manufactured Stainless Auburn University $500,000 Steel for Nuclear Applications
Statistical Learning Based Multiscale Safety Analysis Framework for Advanced Reactors
Executive Summary:
The main objective of this proposed work is to provide an experimentally validated multiscale approach for safety analysis of advanced reactors, that will be valuable in licensing and regulation. Current techniques for system analysis lack capabilities in resolving detailed 3D thermal hydraulic behavior that are critical for the design and performance evaluation of advanced reactor candidates. The risk evaluation and uncertainty envelop of safety features in advanced reactors are highly dependent on complex physics in contrast to probabilistic failure rates of engineered safety features in existing reactors. Therefore, accurate physical depiction in system analysis tools is essential for risk quantification. This project will result in a statistical learning-based coupling mechanism between multiscale models - one-dimensional (1D) system level models and detailed 3D Computational Fluid Dynamics (CFD) simulations of advanced reactor systems for safety analysis. This coupled framework will be implemented with System Analysis Module (SAM) and Nek5000, which are part of NRCs Comprehensive Reactor Analysis Bundle (BlueCRAB). It will be demonstrated on two test cases relevant to advanced reactors such as liquid metal (sodium fast reactors - SFRs) and high temperature gas-cooled reactors (HTGRs). The existing experimental capabilities at KSU will be used for validating 1D/3D coupled models. KSU will develop closure relations for multiscale coupling and obtain validation grade experimental data, while VCU team will lead the CFD simulations and SAM development scope.
Principal Investigator: H itesh Bindra, hbindra@ksu.edu Co-Principal Investigator: Lane B. Carasik, lbcarasik@vcu.edu
Developing the Research Facilities, Shielding, and Licensing Strategy for a Next-Generation Hybrid Research and Power University Nuclear Reactor
Executive Summary:
Objectives and Benefits: the goals of this proposal to use the MCNP6 Monte Carlo program to develop the research facilities for a next-generation hybrid university reactor (one that provides both research and power), to optimize these research facilities for neutron flux, to determine the shielding needed for their safe operation, to ensure that the facility design does not affect reactor baseline reactivity, and to develop a plan for licensing this hybrid reactor with the NRC. This facility will be developed for a Gen-IV eVinciTM MicroReactor with reactor design support provided by Westinghouse. Achieving these goals will expand the demand and utility of next-gen microreactors, expand the number of available high flux neutron research facilities, enhance research programs in a broad range of fields, dramatically decrease a universitys carbon footprint, and educate nuclear students in next-generation technologies and techniques.
Principal Investigator: David Medich, dcmedich@WPI.EDU Co-Principal Investigator: Derren Rosback, drosback@WPI.EDU
Degradation Assessment of Advanced Welds for Pressure Vessels
Executive Summary:
The objective of this project is to provide data to form the scientific and engineering basis for evaluating risk of irradiation embrittlement in advanced welds on the reactor pressure vessel (RPV). In the 1960s, the Nuclear Regulatory Commission (NRC) mandated that RPVs be forged in one piece due to extreme irradiation embrittlement in submerged-arc welds caused by nanoscale precipitates and dislocation loops.
But modern advanced welding technologies exhibit superior quality and performance than conventional arc welds. Hence, there is a need to assess embrittlement risks of modern RPV welding technologies, and to do so at the length scales at which embrittlement mechanisms occur. Our scientific approach utilizes phenomena identification and ranking tables (PIRT) with systematic experiments to rank key nano/microscale embrittlement mechanisms relative to their importance in predicting the figure of merit for the intended RPV application. Work will focus on advanced autogenous electron beam (EB) welds on A508, Class 1, Grade 3 RPV steel; submerged-arc welds will also be studied as a control. We will conduct a series of proton irradiations and leverage prior neutron irradiated specimens of the same alloy feedstock; we will characterize the irradiated microstructure and assess embrittlement through state-of-the-art small-scale mechanical testing. The engineering outcomes are microstructure-yield stress-DBTT correlations for welds across a wide irradiation temperature-dose space; we will generate an updated NUREG/CR-6551 and lay the foundation for NRC to re-regulate RPV welds through follow-on probabilistic risk assessment (PRA) studies. T his work is innovative because it challenges long-standing norms on the viability of welds in RPVs and will represent a transformational modernization of the NRC toward a mechanistic-based regulatory approach for RPV integrity. Educationally, four students will work on this project and will become prepared to enter the nuclear workforce.
Principal Investigator: Janelle P. Wharry, jwharry@purdue.edu Principal Investigator: Maria A. Okuniewski, mokuniew@purdue.edu
Measuring Total Hemispherical Emissivity of High-Temp Reactor Materials
Executive Summary:
This proposal represents the latest request for continued funding in the University of Missouris ongoing program to measure the radiative heat transfer properties of materials proposed for possible use in the construction of next-generation High-Temperature Reactors (HTRs or HTGRs) where radiative heat transfer is significant. HTR materials must be able to handle both normal operating temperatures as well as those present during an accident involving air ingress with oxidation. The objectives of this project will be to measure total hemispherical emissivity for several proposed materials of interest; specifically Alloy 800H, HR-120, and oxide dispersed steels, in the temperature range from 400 K to 1100 K. These measurements will be made on samples as received and on samples subjected to various degrees of oxidation at selected temperatures and for oxidation times potentially up to 3000 hours0.0347 days <br />0.833 hours <br />0.00496 weeks <br />0.00114 months <br /> in air. All of the mea surements will be made in accordance with ASTM Standard C835- 06(2020) Standard Test Method for Total Hemispherical Emittance of Surfaces up to 1400°C. The benefits of the project are that it will: a) expand upon the existing radiative properties data base for HTR candidate construction materials thus allowing for better comparisons between the various candidate materials, b) it will quantify the temperature dependent total hemispherical emissivity of the candidate materials in such a way that will make the data potentially more useful for HTR design efforts, and c) it will allow easy incorporation of the generated emissivity data into NRC safety analysis codes such as MELCOR.
Principal Investigator: Robert V. Tompson, Jr., TompsonR@Missouri.edu Co-Principal Investigator: Sudarshan K. Loyalka, LoyalkaS@Missouri.edu
Development of a Novel Multi-Modal In-Situ Detection System Supporting Human -Machine Collaboration in Core Monitoring and Control of Advanced Reactors
Executive Summary:
We propose to develop an in-situ detection and monitoring system with a physics-based Machine Learning (ML) algorithm to infer nuclear reactor core physics data with high fidelity and facilitate human-machine interaction for next generation nuclear reactors. This in-situ monitoring system, with its ML algorithm, will significantly contribute to improved safety and efficacy by making system adjustments in response to the data generated by the proposed in-situ detection system. For this project we will develop a software interface to couple the CHANDLER multi-modal detection system and the VRS-RAPID (Virtual Reality System for Real-time Analysis for Particle transport and In-situ Detection) neutronics code system, and expand on the exiting ML algorithm and virtual reality visualization framework to provide an effective means for the human-machine collaboration. The proposed software will be validated using the Jozef Stefan Institutes research reactor in Slovenia and the Dominion Energys North Anna Power Station in Virginia.
This proposal addresses several areas of interest, identified by the NRC, including: advanced sensors and controls; human reliability analysis for advanced nuclear applications; Analyses, data and evaluations; and, advanced technology approaches that enhance regulatory decision making.
Principal Investigator: Alireza Haghighat, haghighat@vt.edu Co-Principal Investigator: Jonathan Link, jmlink@vt.edu Co-Principal Investigator: Nathan Lau, nkclau@vt.edu
Coupling Life-Cycle Impact Assessment and Risk Assessment for Sustainability-Informed Decision Making
Executive Summary:
To support the role of nuclear energy in the fight against escalating climate change, the nuclear enterprise must reframe critical assessments that drive decision-making. Integration of life cycle assessment with radiological risk assessment will cross disciplinary boundaries, forcing clarity in communication of approximations and outcomes that will drive public confidence in the decision-making outcomes. We propose to integrate life cycle impact assessment and risk assessment to provide regulatory guidance with respect to key fuel cycle issues, specifically a shifting fuel supply chain and an aging generation of nuclear power reactors. For the former, a shift from U.S. dependency on nuclear fuel from Russia requires a clear assessment of the risks and impacts associated with expanded U.S.
uranium mining. For the later, life cycle impacts for decommissioning aging U.S. reactors will provide extended guidance for decision-making that can help avoid premature closure. Further, the potential for decontamination and reuse of construction materials after decommissioning may reduce the overall life cycle impacts of nuclear technologies. Overall, complex interdependencies of climate change, energy security, and aging nuclear infrastructure require interdisciplinary solutions.
Principal Investigator: Lindsay Shuller -Nickles, LSHULLE@clemson.edu Co-Principal Investigator: Michael Carbajales-Dale, MADALE@clemson.edu Co-Principal Investigator: Nicole Martinez, NMARTI3@clemson.edu
Development of a Soil-Structure-Interaction Framework in Support to Enhance Regulatory Oversight for Small Modular Reactors
Executive Summary:
Most small modular reactor (SMR) designs place the critical compartments (e.g., reactor containment) or the entire structure below ground level. This structural layout is advantageous in protecting compartments with critical equipment from natural and man-made external hazards.
However, partially or fully burying these structures cause uncertainties related to the performance against earthquakes, where soil-structure-interaction (SSI) and interface behavior are expected to have a significant impact on the structural response; including changes in the energy dissipation, calculated seismic demands, and in-structure response spectra. In order to address some of these uncertainties associated with the performance of new generation SMR designs under seismic loading, this research will aim to develop a framework for conducting nonlinear soil-structure interaction (NLSSI) studies on idealized SMR structures using time-domain finite element models validated against both experimental and field data. The developed NLSSI analysis framework will be applicable for a wide range of structural layout and surface material types by reflecting generic structural attributes of SMRs that are under development. The project will also bridge the gap in large-scale SSI experiments for other researchers to validate their numerical models in the future. The overall goal of this project will be to highlight the importance of SSI on the seismic response of SMR designs while accounting for their distinct features in a generic manner and providing technical basis for improved regulatory oversight for enhanced safety. The experimental data and the modeling framework will be seminal in guiding vendors and researchers to conduct investigations for specific combinations of structure-soil conditions.
Principal Investigator: Kadir Sener, sener@auburn.edu Co-Principal Investigator: Jack Montgomery, jmontgomery@auburn.edu Co-Principal Investigator: Amit Varma, ahvarma@purdue.edu
Advanced Characterization Of ATF Cladding for Understanding their Degradation Under Short-Time Temperature Excursions And Implications in Dry Storage
Executive Summary:
The proposed project will investigate the oxidation, degradation, and mechanical behavior of Cr-coated Zircaloy and FeCrAl alloys accident-tolerant fuel (ATF) claddings under short-time temperature excursions and dry storage conditions. The implementation of ATF claddings for light water reactors (LWRs) or advanced reactor designs requires fuel reliability and safety during design-basis and beyond-design-basis accident scenarios. Given the high-temperatures during accident scenarios, understanding of the materials surface chemistry and the evolution of pre-existing oxides as a result of in-reactor operation when accident scenarios occur is critical. The materials fast response toward accident scenarios will be studied by simulating rapid and controlled high-temperature excursions followed by quenching using an induction furnace experimental setup. These tests will be followed by investigations of the materials behavior under dry storage conditions. This project will lead to knowledge of oxidation mechanisms and kinetics, ultimately explaining materials performance and safety limits. Advance destructive and non-destructive characterization techniques will be implemented for the valuation of the ATF cladding materials. The advanced surface and mechanical characterization performed by the destructive testing will allow us to develop a rapid non-destructive examination (NDE) tool based on X-ray fluorescence (XRF) and high-fidelity radiation transport modeling for quality control of cladding materials before and after the proposed testing conditions. The combined experimental and computational analysis will provide a robust platform that U.S. regulatory entities and fuel vendors can use during licensing and commercial use of ATFs in advanced nuclear reactors.
Principal Investigator: Jessika Rojas, jvrojas@vcu.edu Co-Principal Investigator: Carlos E. Castano, cecastanolond@vcu.edu Co-Principal Investigator: Reza Mohammadi, rmohammadi@vcu.edu Amit Varma, ahvarma@purdue.edu
In Vivo Measurement of Low Energy Photon Associated with an Internal Deposition of Mixed Oxide Nuclear Fuel
Executive Summary:
The goal of this proposed research is development of a practical, robust method to evaluate direct, in vivo measurement results of internally deposited, isotopic mixtures of uranium, plutonium, and americium relevant to the composition of new and mixed oxide nuclear fuels and waste streams commensurate with small modular and advance reactor designs. The lack of a predictable isotopic composition for these fuels and potential waste streams plus the predominance of low energy photon and x-ray emissions from these isotopes makes it challenging to accurately measure and rapidly evaluate an internal deposition using in vivo measurements, especially when decisions about remedial actions must be made in a timely manner to be effective following accidental exposure. Existing gamma spectroscopy programs are not sufficient to resolve the low energy x-rays and photons produced by mixtures of these isotopes.
This project will develop a new method to analyze low x-ray and photon energy spectra generated by in vivo measurement of isotopic mixtures of internally deposited uranium, plutonium, and other transuranic isotopes. The method will utilize a matrix of response functions for an array of high-resolution germanium detectors using a combination of Monte Carlo simulations to predict photon interactions in the detectors plus empirical measurements using anthropometric phantoms having known distributions of 241Am, 235U, 238U, and 239Pu arranged in lungs, skeleton, liver and axillary lymph nodes. The phantoms will be designed and constructed as part of this project and measured at the University of Cincinnati In Vivo Radiation Measurement Laboratory. The isotopic mixtures used in the phantoms will be guided by the outcome of mathematical simulations that predict photon interactions and the x-ray and photon energy spectrum generated by the detector array.
Principal Investigator: Henry B. Spitz, henry.spitz@uc.edu
High-Fidelity Experiments and Simulations of Heat Pipe Performance under Steady -State, Transient, and Accident Conditions
Executive Summary:
The objective of this proposal is conduct high-fidelity experiments, modeling and simulations of Liquid Metal Heat Pipes for micro-reactor applications under steady-state, transient, and accident conditions.
The data produced will support the validation of the specialized tools included in the Comprehensive Reactor Analysis Bundle (CRAB). We will produce unique sets of measurements of internal thermal-hydraulic parameters using advanced techniques, and measurements uncertainty will be quantified. The datasets produced will fill the known technology gaps, can be directly used for the development of code closure models, and ultimately advance the predictive capabilities of Computational Fluid Dynamics (CFD) codes and system codes adopted for heat pipe reactors technologies.
We will produce a unique high-fidelity experimental and computational database for liquid-metal heat pipes with uncertainty.
The database will support the validation and increase SAMs predictive capability maturity level, and other MOOSE-based tools.
The database will become available for validation of other specialized codes.
Principal Investigator: Dereje Agonafer agonafer@uta.edu Co-Principal Investigator: Ratan Kumar, ratan.kumar@uta.edu Co-Principal Investigator: Yassin A. Hassan, y-hassan@tamu.edu
Advanced Condition Monitoring of Dry Storage Canisters by Helical Guided Ultrasonic Waves
Executive Summary:
The objective of this research program is to develop a technology to enable the next generation of intelligent spent nuclear fuel dry storage canisters (DSCs), that is, canisters with integrated sensing and processing capabilities to enable real-time state awareness. It is proposed to use a novel low-cost sensing system based on helical guided ultrasonic waves (HGUW) and advanced data processing techniques for interrogating the outer surface of the canister. The crux of this proposal is to generate helical waves into the external surface of the canister, and detect its multiple echoes, generated from its cylindrical geometry, at a receiving transducer. Therefore, instead of monitoring only the direct path connecting two transducers (i.e., first echo arrival), multiple paths taken by each helical wave (i.e., late echo arrivals) can be monitored. We hypothesize that these echoes carry valuable information about the containment function of the canister, and the ability to monitor and analyze these signals can yield a completely new inspection modality that can be used to identify and track the onset of conditions conducive to component degradation (e.g., stress corrosion cracking, internal temperature and pressure). The solution represents a change in paradigm - multiple wave reflections, considered undesirable in current inspection techniques, will be used to enable real-time state awareness from only a few monitoring points. This reduces the number of sensors needed to perform an inspection. The key advantages of the proposed HGUW-based monitoring technology include: (1) the ability to interrogate the internal conditions of the canister from only a few monitoring points, thus increasing the inspection cost effectiveness, ( 2) the ability to monitor simultaneously the entire circumferential area of the canister, (3) the increased sensitivity to many parameters (e.g.: internal pressure and temperature, helium leakage, stress corrosion cracking) owing to the wave structure choice, (4) the capability to detect onset of damage (e.g., leaks, or cracks) and to estimate internal parameters (e.g., temperature and pressure) by toggling between the modes of passive acoustic emission testing and active ultrasonic testing.
Furthermore, the sensing system based on HGUW can be integrated with existing robotic vehicle(s) to remotely apply the HGUW technology on in-service DSCs.
Principal Investigator: Salvatore Salamone, salamone@utexas.edu
A High-Throughput Approach to Establish the Regulatory Basis for Qualifying Laser Additive Manufactured Stainless Steel for Nuclear Applications
Executive Summary:
This project takes a high-throughput and integrated approach by using microstructurally-graded specimen design, small-scale mechanical testing, proton irradiation, and high-throughput testing, and material characterization to accelerate the data development and understandings of (1) irradiation-assisted stress corrosion cracking (IASCC), (2) deformation behavior, (3) microstructural evolution of irradiated additive-manufactured (AM) 316L stainless steel (SS) in light water reactor environments.
The study aims to fulfill the data need to identify the safety concerns of laser AM for nuclear and support NRC to develop guidelines for reviewing industry proposals and licensing of laser AM. The research contributes to NRCs regulatory activities through rapidly developing a large dataset of radiation properties of proton-irradiated AM 316L SS, revealing the fundamental mechanisms of IASCC and irradiation behavior, surveying different post-process treatments to AM SS to support industrys interests, demonstrating the validity of the proposed high-throughput approach for other radiation experiments including neutron irradiation.
Principal Investigator: Xiaoyuan Lou, xzl0092@auburn.edu Co-Principal Investigator: Lin Shao, lshao@tamu.edu