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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 19 records
All sourcesNASA NTRSDOE OSTI
NASA NTRS1974

CTS digital video college curriculum-sharing experiment

NASA-Ames Research Center, Stanford University, and Carleton University, Ottawa, Canada, are participating in a joint experiment to evaluate the feasibility and effectiveness of college curriculum sharing using compressed digital television and the Communications Technology Satellite (CTS). Each university will offer televised courses to the other during the 1976-1977 academic year via CTS, a joint program by NASA and the Canadian Department of Communications. The video compression techniques to be demonstrated will enable economical interconnection of educational institutions using existing and planned domestic satellites.

Lumb, D. R.↗
NASA NTRS1991

The integration of microgravity science experiments into shared or previously existing experiment facilities

The overall flow for integrating a sample into an experiment facility, specifically materials science is discussed using the Crystal Growth Furnace as an example. A typical preflight timeline for an experiment is discussed, including identification of all documentation and hardware deliveries. Each of the items presented is discussed in detail including the experiment requirements document, the announcement opportunity response, the experiment specific equipment, safety reviews, mission plan, and hardware integration plan. These items are addressed both individualy and with respect to their relevance to the program as a whole.

Baer-Peckham, M. S.↗
NASA NTRS1986

The share flight experiment - An advanced heat pipe radiator for Space Station

This paper reports on the design and thermal vacuum certification testing of the Space Station Heat Pipe Advanced Radiator Element (SHARE) Shuttle flight experiment, with primary emphasis on the heat pipe radiator system. The main objective of the SHARE experiment is to demonstrate suitable 0 g heat transfer performance of a 50 ft-long high-capacity monogroove heat pipe radiator element being developed for possible Space Station application. All of the flight certification tests were achieved, including a maximum heat rejection of 2 kW and thawing of a frozen heat pipe; and uninterrupted operation under cycling environmental and evaporator heat loads.

Alario, J. P.↗
DOE OSTI2022

Correlation Calculations for the Russian Pu Metal Fast Experiments

Nuclear criticality experiments are often conducted in campaigns with multiple variations. These experiments reuse the same basic components, like the fuel, moderator, or positioning machines. The components have uncertainties in their geometry and composition that propagate to models of the experiments. Shared components create shared uncertainty between the $k_{eff}$ of benchmarks. The shared uncertainty is commonly quantified with a covariance, or correlation coefficient. These covariances can impact criticality safety and nuclear data validation applications. While benchmark evaluations tabulate an experiment’s uncertainty, they often lack a detailed calculation of correlations between experiments. Even some very commonly used benchmarks, like the Russian Pu Metal Fast (PMF) experiments, have missing correlations. This paper presents our approach to calculate the correlations for five of the Russian PMF experiments. The experiments share hemispherical Pu shells that induce a correlation between modeled $k_{eff}$ values. We estimated the correlations with simplified and detailed models of the experiments through linear-perturbation theory. The correlations between the experiments vary significantly between the detailed vs. simplified models. We also investigate how the correlations affect validation metrics of the experiments.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
NASA NTRS2018

Sharing the NASA Experience

Dr. Obadiah Kegege will share his career experience with the University of Missouri _ Kansas City Students. This experience spans from academia, research and development, working on flight and ground systems for space exploration, to current work in engineering project management. Most of his NASA experience concentrates on supporting the Space Communication and Navigation Program (SCaN) program. SCaN implements, manages, and maintains communications and navigation services to existing and planned space missions. Dr. Kegege's talk will touch on topics like "how do we communicate to space," as well giving an overview of NASA's Near-Earth Network (NEN), Space Network (SN), and the Deep Space Network (DSN). Also, Dr. Kegege will answer a few questions from students, i.e applying for NASA internships, applying for jobs at NASA, etc.

Kegege, Obadiah O.↗
NASA NTRS1992

Test results of the SHARE II Mid-deck Flight Experiment

The SHARE II (Space Station Advanced Radiator Experiment II) Mid-deck Experiment was flown on board the Space Shuttle (STS-37) from April 5 to 12, 1991. The purpose of the experiment was to demonstrate the operation of several design changes proposed for the NASA/Grumman SHARE II heat pipe as a result of the lessons learned during the first SHARE flight (STS-29) in March 1989. Two test articles flew during the mission. The first, the Bubble Management Test Article, was a Plexiglas model of the monogroove heat pipe. This test article was primarily used to evaluate the performance of two 0-g bubble management devices; the redesigned evaporator screen artery and the condenser bubble trap. The second, the Blended Manifold Priming Test Article, also constructed of Plexiglas, was used to demonstrate passive self-priming of a heat pipe blended manifold connecting three evaporator legs to a single condenser leg. Both test articles used a 50/50 mixture of ethanol and water as the working fluid. Overall, the experiment was highly successful, with all the major test objectives fulfilled, including blended manifold priming, condenser bubble trap operation, screen artery bubble ingestion, and elimination of hydraulic diameter mismatch.

Brown, Richard F.↗
DOE OSTI2024

Experimental Covariance Determination for Critical Integral Experiments

Integral benchmarks for criticality safety and nuclear data validation require expensive uncertainty quantification studies. In general, uncertainty quantification techniques ignore correlations between experiments and shared parts. Experiments, such as the TEX (Thermal/Epithermal eXperiments) campaigns, consist of many shared parts, such as the ‘Jemima’ HEU fuel plates, which create a strong correlation in their uncertainties. While these correlations are known to exist, they are often not estimated due to the complexity of such calculations. This paper describes an intuitive method of determining the covariance for each of the experimental components, providing a correlation for each family of parts across the multiple cases examined within a benchmark. A proof-of-principle study using the TEX-HEU experimental campaign was performed and verified that the correlations can be calculated with information commonly found in the ICSBEP (International Criticality Safety Benchmark Evaluation Project) benchmarks. This study showed that the introduction of model and experimental covariances reduces the χ 2 per degree of freedom from 2.203 to 1.179, indicating that the omission causes overly pessimistic bias quantifications. This technique can be seamlessly integrated to current benchmark evaluations as well as reevaluations of legacy benchmarks.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
NASA NTRS2015

Play Nice Across Time Space

Lecture is an overview of Simulation technologies, methods and practices, as applied to current and past NASA programs. Focus is on sharing experience and the overall benefits to programs and projects of having appropriate simulation and analysis capabilities available at the correct point in a system lifecycle.

system engineering↗
DOE OSTI2023

Nuclear Criticality Safety Integral Experiment Covariance Determination

Integral benchmarks for criticality safety and nuclear data validation require expensive uncertainty quantification studies. Commonly, the uncertainty quantification ignores correlations between experiments that share components. Experiments such as the TEX (Thermal/Epithermal eXperiments) campaigns consist of many shared parts between experiments, such as fuel, which creates a strong correlation in their errors. While these correlations are known to exist, they are often not estimated due to the complexity of such calculations. This paper describes a software package that uses an intuitive method of determining the covariance for each of the experimental components, providing a correlation matrix for each family of parts across the multiple cases examined within a benchmark. The code uses the TEX-HEU campaign as a proof of concept, and we show that the correlations can be calculated with information commonly found in ICSBEP (International Criticality Safety Benchmark Evaluation Project) benchmarks. The estimated covariances are used in χ 2 trending studies to evaluate their impact on nuclear data validation. The covariance determination code can be easily integrated into current benchmark evaluations as well as reevaluating legacy benchmark uncertainties. Uncertainty correlation calculations should become the baseline for criticality safety integral experiment benchmarks and can now be easily calculated with the described software package.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗
NASA NTRS1976

University resources sharing using the CTS

NASA-Ames Research Center and Stanford University in California, and Carleton University in Ottawa, Canada, are designing a curriculum-sharing experiment which will use compressed digital television. The experiment will permit evaluation of the potential of curriculum sharing by two universities which are geographically distant, but capable of transmitting and receiving television signals. The evaluation of the curriculum sharing per se will include inputs from faculty, staff and students at both institutions. Accessibility to and acceptability of each other's curriculum will be studied and recorded. Adjustments to differences in academic terms, class meeting times, teaching styles and similar issues will be closely monitored. It is hoped that this experiment will provide long-range planners the kind of information which they will need when designing large-scale educational telecommunications systems for the future.

Down, K. S.↗
DOE OSTI2021

Uniformly Ordered Binary Decision Algorithm for Benchmark Experiment Correlations in Whisper Validation

When performing a validation exercise for determining the upper subcritical limit of a nuclear criticality safety application, an analyst should select and perform a statistical analysis on a population of benchmark experiments that are neutronically similar to the application. The size of this population should be sufficiently large such that the statistical analysis has a high degree of confidence that the bias plus bias uncertainty (calculational margin) has been accurately quantified. A complication arises because many benchmark experiments share common components, leading to correlations in their measured effective multiplication factors. Correlations between benchmark experiments within the population reduces its predictive power. This motivates the need for methods that consider benchmark experiment correlations and ensure adequate statistical significance of results. The Whisper code is a statistical analysis pack- age that incorporates nuclear data sensitivity coefficients from MCNP to assess benchmark experiment similarity and then performs an extreme-value analysis to estimate the bias plus bias uncertainty. The original methodology in Whisper does not consider the effect of benchmark experiment correlations when making this estimation, and this summary proposes the uniformly ordered binary decision algorithm to address this shortcoming. The original methodology in Whisper computes similarity coefficients ck for an application compared to all benchmark experiments in its library and develops weighting factors for a selected population proportional to the ck values. The methodology can be interpreted as statistically emulating a validation exercise for a particular application where the weighting factors may be viewed as the likelihood that an analyst would include a particular benchmark experiment within the population. The effective sample size of the population is the expected or mean number of benchmark experiments in the population. The uniformly ordered binary decision algorithm identifies clusters of correlated benchmark experiments within the population and then computes adjusted weighting factors based on the magnitude of the correlation coefficients within the cluster to compute a reduced effective sample size accounting for the lower information content because of correlations. Benchmark experiments within the cluster are ordered randomly with equal probability and probabilistic decisions are made as to whether a benchmark. experiment within the cluster should treated as redundant with a previous one; if two redundant benchmark experiments are included, then the conservative worst case bias plus bias uncertainty is used and the pair is counted as a single benchmark experiment in the population. Results are provided for HEU solutions in a research version of the Whisper software using benchmark experiment correlations provided by DICE, the Database for the International Criticality Safety Benchmark Evaluation Project (ICSBEP). These show that there can be a significant increase in the bias plus bias uncertainty because the effective sample size is reduced, and therefore the algorithm, needing to meet sample size requirements, expands the benchmark experiment population by accepting less similar benchmark experiments that would have otherwise not been included.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
DOE OSTI2023

Nuclear Criticality Safety Integral Experiment Covariance Determination

Integral benchmarks for criticality safety and nuclear data validation require expensive uncertainty quantification studies. Commonly, the uncertainty quantification ignores correlations between experiments that share components. Experiments such as the TEX (Thermal/Epithermal eXperiments) campaigns consist of many shared parts, such as fuel, which create a strong correlation in their uncertainties. While these correlations are known to exist, they are often not estimated due to the complexity of such calculations. This paper describes a software package that uses an intuitive method of determining the covariance for each of the experimental components, providing a correlation matrix for each family of parts across the multiple cases examined within a benchmark. The code uses the TEX-HEU campaign as a proof of concept, and we show that the correlations can be calculated with information commonly found in ICSBEP (International Criticality Safety Benchmark Evaluation Project) benchmarks. The estimated covariances are used in χ 2 trending studies to evaluate their impact on nuclear data validation. Without covariances, χ 2 per degree of freedom was calculated as 2.203 and with covariances it was 1.179. The difference shows that omitting covariance information may cause overly pessimistic bias quantifications. The covariance determination code can be easily integrated into current benchmark evaluations as well as reevaluating legacy benchmark uncertainties. Uncertainty correlation calculations should become the baseline for criticality safety integral experiment benchmarks and can now be easily calculated with the described software package.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
DOE OSTI2022

A Common Tracking Software Project

Abstract The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tuning of track reconstruction algorithms can depend strongly on details of the detector geometry, the algorithms currently in use by experiments share many common features. At the same time, the intense environment of the High-Luminosity LHC accelerator and other future experiments is expected to put even greater computational stress on track reconstruction software, motivating the development of more performant algorithms. We present here A Common Tracking Software (ACTS) toolkit, which draws on the experience with track reconstruction algorithms in the ATLAS experiment and presents them in an experiment-independent and framework-independent toolkit. It provides a set of high-level track reconstruction tools which are agnostic to the details of the detection technologies and magnetic field configuration and tested for strict thread-safety to support multi-threaded event processing. We discuss the conceptual design and technical implementation of ACTS, selected applications and performance of ACTS, and the lessons learned.

97 MATHEMATICS AND COMPUTING↗
DOE OSTI2017

Measurements of Picosecond Energy Equilibration in Isochorically Heated Materials

In this Final Report we present the results of our DOE/FES-sponsored research on rapidly heated materials. The research focused on the details of picosecond energy equilibration and material response to isochoric heating by relativistic (or “hot”) electrons. The major goal was to improve the understanding of these processes by making time-resolved extreme ultraviolet (XUV) measurements of ultrafast energy deposition and blast-wave formation for testing impulsive-heating models in extreme thermodynamic conditions. Major achievements of the project include the design, fabrication, deployment, and use of two XUV spectrometers on the Multi-Terawatt (MTW) Laser System at the University of Rochester’s Laboratory for Laser Energetics. One of the spectrometers is coupled to an x-ray charge-coupled device (CCD) for time-integrated measurements; the other is coupled to an ultrafast x-ray streak camera for time-resolved measurements. Working together, these instruments provide absolutely calibrated data on the emitted XUV spectrum from an isochoric heated target. The new diagnostic system was used to measure and infer the time-resolved rear-surface temperature and density for different target materials and different target-interaction conditions. Experiments with laser-heated metal foils measured the ultrafast dynamics and energy deposition from hot electrons into plasma heating and blast-wave formation. The blast wave was observed emerging from the rear surface of the laser-irradiated target. The time between the prompt emission (electron-driven x-ray emission) and the blast-wave arrival was used to estimate the energy deposition into the wave. The data are consistent with a Sedov–Taylor blast wave, with energy transfer from the laser to the blast of up to 20 mJ. The data represent the first quantitative assessment of the blast-wave energy in a metal following heating by a short burst of high-intensity laser-generated hot electrons. The funding from this grant provided significant opportunities for training and professional development. The grant supported or partially supported a graduate student, a postdoctoral research associate, and a senior staff scientist. This support included bringing together a dedicated group of individuals with a niche set of experimental and theoretical skills for studying advanced material properties experiments and ultrafast radiation conditions. The team dynamic fostered training and knowledge transfer across the whole spectrum of research activities through shared experiences in advanced laboratory techniques, data analysis, modeling, and the development of new ideas, techniques, presentations, and publications. The results of this work, which significantly improve the understanding of rapid energy deposition in solid matter, have been widely disseminated to communities of interest through invited talks, contributed talks, and peer-reviewed journals.

70 PLASMA PHYSICS AND FUSION TECHNOLOGY↗
DOE OSTI2023

“Translational Opportunities in CPS Transportation”

This talk will describe opportunities for translating research from open-road experiments with modified adaptive cruise controllers. The data and controllers used for the previous research are based on use cases and example drives from within the US. We explore processes, data sharing, experiments, and other techniques that we think will drive trans-Pacific partnerships with driving data.

Sprinkle, Jonathan↗
DOE OSTI2018

Residential Energy Efficiency and the Three Rs: Resistance, Resilience, and Recovery

The Building America Solution Center focuses primarily on providing best practices information on energy efficiency, indoor air quality, and water efficiency. While gathering information to address building practices that can improve disaster resistance, resilience, and recovery, it became apparent that there is a significant amount of overlap in areas of home construction related to energy efficiency and in areas related to resiliency. This paper will explore three areas where mutual goals and/or experience may be beneficial to both camps in meeting objectives related to efficient, resistant, resilient, and recoverable homes. The first is the common basis in building science that each industry must draw on to design and build adequate houses. This portion of the paper will include a discussion of photovoltaics. The second is the shared experiences each industry faces in market transformation and achieving changes in building codes. We will explore lessons that these industries may share around economic criteria, incentives, and prescriptive measures in code. And finally, this paper will address the role that insurance companies play in achieving changes in building practices related to energy efficiency and disaster planning.

residential, energy efficiency, disaster resistanc↗