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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 775 records · Page 43

Documentation, assessment, and improvements of fission gas modeling capabilities in BISON

Fission gas behavior critically affects nuclear fuel performance, influencing thermal conductivity, microstructure, swelling, and fuel-cladding interactions. The Simple Integrated Fission Gas Release and Swelling (Sifgrs) model, implemented within the BISON fuel performance code, provides advanced capabilities for modeling these phenomena. This manuscript reviews and assesses Sifgrs’ modular structure and submodels describing intragranular, intergranular, and release mechanisms. The modular implementation enables rapid improvements as our understanding advances and new fuel forms emerge. After an overview of capabilities, we present a comprehensive validation suite, comparing predictions to experimental data from tests under normal and transient conditions, including reproduction of the Vitanza curve. Results demonstrate Sifgrs’ accuracy, robustness, and applicability. Current limitations and ongoing efforts are discussed, including mechanistic, multiscale modeling, uncertainty quantification, and validation within the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, supporting the safe and efficient use of nuclear fuels.

BISON↗

Document-Based Nuclear Archaeology

Deeper reductions in the nuclear arsenals will require better understanding of historic fissile material management and production. The concept of “nuclear archaeology” has been considered since the 1990s to provide the tools and methods to develop independent production estimates, primarily based on nuclear forensic techniques. Here, we propose to add a framework for reconstructing the history of a nuclear program that complements traditional nuclear archaeology techniques by examining the role of operating records to support such an effort. As a test case, we use the JEEP II reactor, a 2 MW civilian research reactor at Norway’s Institute for Energy Technology (IFE), in operation for more than fifty years, however, recently shut down permanently. We have collected, analyzed, and started to preserve the reactor’s operating records, which exist on both analog and digital media, and to simulate parts of its history using OpenMC/ONIX neutronics calculations. Here, a particular focus of this project has been on digital data curation and preservation to confirm and maintain the integrity, authenticity, and provenance of these records. In developing guidelines for best practices that conform to existing standards for long-term digital preservation and curation, we hope this project can help lay the basis for future nuclear archaeology efforts to support nuclear arms control and disarmament.

98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL P↗

Capturing high‐resolution digital images for use in forensic document examination

Abstract In the past, pattern disciplines within forensic science have periodically faced criticism due to their subjective and qualitative nature and the perceived absence of research evaluating and supporting the foundations of their practices. Recently, however, forensic scientists and researchers in the field of pattern evidence analysis have developed and published approaches that are more quantitative, objective, and data driven. This effort includes automation, algorithms, and measurement sciences, with the end goal of enabling conclusions to be informed by quantitative models. Before employing these tools, forensic evidence must be digitized in a way that adequately balances high‐quality detail and content capture with minimal background noise imparted by the selected technique. While the current work describes the process of optimizing a method to digitize physical documentary evidence for use in semi‐automated trash mark examinations, it could be applied to assist other disciplines where the digitization of physical items of evidence is prevalent. For trash mark examinations specifically, it was found that high‐resolution photography provided optimal digital versions of evidentiary items when compared to high‐resolution scanning.

Riley, Paige↗

Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling

This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques. The reports describe simulations of hydraulic fracture propagation, fluid-mechanical interactions, and induced microseismicity. The dataset also includes history-matching of net pressure and analyses of fracture growth in naturally fractured geothermal reservoirs. The slides summarize key findings and future research directions.

15 GEOTHERMAL ENERGY↗

Dataset documenting reaction-induced changes to five fractured foamed wellbore cement cores during CO2 fluid flow

This dataset consists of reconstructed CT scans for four fractured foamed cement cores, generated in the lab using Portland Class H cement, and associated processed data. The cements were exposed to reactive brines, and CT scans were take at different time points through the experiment. The CT imaging allows for the tracking of dissolution-induced changes to fracture morphology, as well as alteration and dissolution in the cement matrix.

Computed Tomography↗

Dataset documenting rock core evaluation from Brady’s Hot Springs well BCH-03

Nineteen short sections of core were taken from the BCH-03 borehole at Brady’s Hot Springs, Churchill County, Nevada, between 2,945 ft and the total depth of 4,885 ft. This well is in a geothermal field. Data collected includes thin section photomicrographs, Medical CT tiff stacks, microCT tiff stacks, XRD, porosity (from thin sections, He porosimeter, microCT segmentation) and P/S wave velocities.

Brady geothermal field↗

Documenting the function of non-cultivated microorganisms in terrestrial ecosystems

The terrestrial biosphere contains a large fraction of global carbon and nearly 70% of the organic carbon in these systems is found in soils. Global changes in atmospheric CO 2 , temperature, precipitation, and ecosystem N inputs, are expected to impact primary production and carbon inputs to soils, but it remains difficult to predict the response of soil processes to anthropogenic change. Models that predict soil C-cycling as a function of ecosystem properties do not explain well variation in soil processes. Our difficulty in predicting the response of soil processes to environmental change suggests a need for a greater understanding of the biotic mechanisms that govern the soil C-cycle. Changes in microbial community structure and function have been proposed to impact soil C-cycling. However, our ability to predict the impacts of these changes on terrestrial ecosystems is constrained by our limited understanding of mechanisms that drive microbial processes in soil systems. We have applied a newly developed approach of Microbial Food Web Mapping to chart the carbon assimilation dynamics of microbial taxa in soils. This method made it possible to track different classes of 13C-labeled substrates into the DNA of nearly every member of the soil community simultaneously over time. Microbial Food Web Mapping was used to identify and characterize microbial taxa that fill key roles in the soil carbon cycle. We mapped the assimilation of carbon into thousands of discrete soil microorganisms as a function of soil carbon content and pH. In so doing we characterized assimilatory carbon metabolism, an essential component of soil C-cycling, for a vast array of uncultivated soil microorganisms. Further, we characterized the spatial and temporal dynamics of these microorganisms across a series of sites representing variation in soil characteristics. This project revealed fundamental aspects of soil C-cycling and provided ecological and metabolic insights on diverse uncultivated soil organisms that are widespread and play major roles in the global C-cycle. The genetic capacity of microbial communities can be studied through ‘omic approaches but it remains difficult to make direct links between the genetic capacity of microorganisms and their function in the soil C-cycle. Microbial Food Web Mapping makes it possible to link gene sequences to soil C-cycle processes as they occur in soil. This approach allows us to characterize the activity of non-cultivated microorganisms in a range of terrestrial systems. This data will be used to build a base of information about the role of non-cultivated organisms in critical C-cycle processes in terrestrial ecosystems and will provide insight on the manner in which soil communities metabolize soil organic matter. The results generated by this project will improve our ability to examine the impacts of management decisions, soil history, and environmental change on the behavior of microbial communities in terrestrial ecosystems, revealing the ecological mechanisms by which microbes regulate both C mineralization and carbon retention in soils, and improving our ability to predict changes in terrestrial ecosystem processes in the face of accelerating global change.

54 ENVIRONMENTAL SCIENCES↗

The Industry Energy Tool (IET): Documentation

Studies of industrial energy use typically mention the sector's heterogeneity and complexity as modelling barriers. One of the more significant impediments to analyzing and building models of U.S. industrial energy use is the lack of current, disaggregated data. The Industry Energy Tool (IET) and its foundational data addresses some of these barriers. The IET uses county-level energy data with stock turnover, energy efficiency, fuel switching, and emissions functionalities to calculate energy use and emissions from agriculture, construction, mining, and manufacturing industries from 2014 to 2050. The IET is an open-source, transparent, and flexible tool for exploring industrial sector energy and emissions scenarios. The IET takes a simplified approach to developing scenario projections of energy and emissions by allowing users to modify pre-populated inputs for achieved energy efficiency, rate of equipment stock turnover, and future penetration renewable electricity. In addition to its transparency and flexibility, the strengths of the IET lie in its geographically- and operationally-disaggregated data set. The IET's foundational data is built on energy data first calculated at the facility- and technology-level for many of the largest energy-using industries. These data are then aggregated to the county and end-use level with other publicly-available data for use in scenarios estimated by the IET.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

Historic Documentation of TA-03-0016. Smashing Atoms & Modern Physics at the Ion Beam Facility, Volume 1

The U. S. Department of Energy, National Nuclear Security Administration, Los Alamos Field Office (Field Office) requested the State Historic Preservation Officer (SHPO) to concur with the National Register of Historic Places eligibility determination contained in the report The Decommissioning of TA-3-16, the Ion Beam Facility (IBF) (LA-UR-05-0775). In this report, Building Technical Area (TA) 3-16 was determined eligible to the National Register of Historic Places. The SHPO concurred with the eligibility determination on March 25, 2005. However, the Field Office later proposed to decontaminate, decommission, and ultimately demolish this property, an adverse effect to Building TA-3-16.

74 ATOMIC AND MOLECULAR PHYSICS↗

Regional Energy Deployment System (ReEDS) Model Documentation: Version 2018

The Regional Energy Deployment System (ReEDS) model is a capacity expansion and dispatch model for the contiguous U.S. electric power sector that relies on system-wide least cost optimization to estimate the type and location of future generation and transmission capacity.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

Exascale Computing Facility Modification (ECFM) Project Requirements Document

The objective of the project is to modify and upgrade the civil, structural, architectural, mechanical, and electrical systems of B453 and an adjacent approximately 3.5 acres of previously developed site. These modifications and upgrades would allow for continued use of B453 to support the increasing demands of the next generation high-performance computers. These modifications and upgrades would also provide enhanced power and cooling for the current and future ATS computers.

42 ENGINEERING↗

Quarterly Management Document – FY19, 3rd Quarter, Physics-based Creep Simulations of Thick Section Welds in High Temperature and Pressure Applications

During the 3rd quarter of FY19, a strategy was developed to incorporate creep damage arising from diffusional processes into a computational model describing creep behavior of thick section welds in Alloy 740H. This approach will be followed in the 4th quarter modify the existing creep model to include diffusional damage processes in its predictions of creep behavior and especially the transition to tertiary creep behavior which will allow the prediction of creep rupture time.

36 MATERIALS SCIENCE↗

Complete Status Report Documenting the Processing, Microstructure and High-Temperature Mechanical Properties of the Nanostructured Ferritic Alloy OFRAC

This report provides a summary of the new nanostructured ferritic alloy, OFRAC (Oak Ridge Fast Reactor Advanced Fuel Cladding), that was developed for the advanced sodium fast reactor fuel cladding and core internals. The composition of OFRAC, which is Fe-12Cr-1Mo-03.Ti-0.3Nb + 0.3Y2O3 (wt. %), was chosen to achieve high temperature strength as well as high temperature creep performance and swelling resistance requirements that past structural materials such as austenitic stainless steels and ferritic/martensitic steels, i.e. HT-9, are not suitable as SFR cladding materials. The mechanical alloying procedures were described for producing OFRAC and the detailed characterization studies revealed uniformly distributed, high concentration of Y-Ti-O enriched oxide particles, or nanoclusters. The Nb addition that was intended to sequester interstitial C and N that are commonly introduced as contamination during ball milling of powder was found to be very effective in forming coarse size Nb carbonitrides along with excess Ti that removes these interstitial elements from the bcc-Fe matrix of OFRAC. The tensile tests on the OFRAC in the extruded condition showed excellent balance in strength and ductility from room temperature to 800°C. Both the microstructure and tensile properties were not significantly degraded after annealing the extruded OFRAC samples for 8 h at 1050°C and 1150°C. The latter temperature is ~76% of the melting point of OFRAC. These results demonstrated the stability of the microstructure and tensile properties to extremely high temperatures. The thermal creep resistance at elevated temperatures and stresses was investigated using strain rate jump testing. The results showed that OFRAC possessed high stress exponents at high stresses and temperatures of 550°C, 600°C, 700ºC and 800°C. This thermal dependence of minimum creep rate indicates that OFRAC will show quite low creep rates at higher temperatures and stresses compared to HT-9 and stainless steels. These significant improvements indicate that the NFA OFRAC alloy is a compelling and viable choice for sodium fast reactor fuel cladding.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

Report for 2.2.1 Task 5: Develop and Document a State-Based Alarm System for a Nuclear Power Plant Control Room Using Machine Learning. Light Water Reactor Sustainability Program report

In legacy control rooms the operators might have 20 to 30 alarms to deal with on 12 control boards, during a reactor trip. The new digital alarm system in the upgraded control room will display between 150 and 200 alarm points on a single screen. This overload of information prevents the operators from identifying any abnormal alarms quickly without having to scroll through the alarm list looking for the abnormal alarms. One way to tackle this problem could be to attempt to create a state-based alarm system which would identify plant states and would identify which alarms are expected in those states and suppress them from the alarm screen so that any unexpected alarms would be displayed and easily identified to the operators. This can be done today but is very labor intensive in that an operator or training instructor would be required to run scenarios and log the alarms to be suppressed. The hope is that Machine Learning (ML) can provide an alternative solution with less manual effort required.

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗

Report for 2.2.1 Task 3: Develop and Document an Advanced Human System Interface for the Generic Pressurized Water Reactor Simulator

The report explains the development of four new Operator Work Displays (OWDs). The work is performed for Idaho National Laboratory (INL) by the Institute for Energy Technology (IFE). The OWDs are implemented, and initially tested at the Generic Pressurized Water Reactor (gPWR) simulator in HAlden Man Machine LABoratory (HAMMLAB). The OWDs are designed to bridge the gap between large overview displays and detailed operator workstation displays. The report presents their design rationale, which stem from: human factors findings, industrial standards and guidelines and research into visual perception for computer displays. The report presents initial experiences using the OWDs, and topics for further work.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗