Sensitivity and uncertainty analysis of reactor performance parameters

Cover of: Sensitivity and uncertainty analysis of reactor performance parameters |

Published by Plenum Press in New York .

Written in English

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Subjects:

  • Nuclear reactors -- Design and construction.,
  • Uncertainty (Information theory)

Edition Notes

Includes bibliographical references and index.

Book details

Statementedited by Jeffery Lewins and Martin Becker.
SeriesAdvances in nuclear science and technology ;, v. 14
ContributionsLewins, Jeffery., Becker, Martin, 1940-
Classifications
LC ClassificationsTK9001 .A3 vol. 14, TK9202 .A3 vol. 14
The Physical Object
Paginationxiv, 372 p. :
Number of Pages372
ID Numbers
Open LibraryOL3484180M
ISBN 100306409941
LC Control Number82003654

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Sensitivity and uncertainty analysis of reactor performance parameters. New York: Plenum Press, © (OCoLC) Document Type: Book: All Authors / Contributors: Jeffery Lewins; Martin Becker. There are two main approaches to quantify the uncertainty of a nuclear performance parameter – the stochastic sampling method and the sensitivity and uncertainty analysis method (Cacuci, ) – besides recent advances in the uncertainty quantification methodology such as the efficient subspace method (Abdel-Khalik et al., ) and the Cited by: 1.

Sensitivity and uncertainty analysis of reactor performance parameters / Nuclear reactor analysis / από: Duderstadt, James J., Sensitivity and uncertainty analysis / από: Cacuci, D. Έκδοση: () Reactor noise. Sensitivity and Uncertainty Analysis of Coupled Reactor Physics Problems Method Development for Multi -Physics in Reactors 1.

The advantages of adjoint sensitivity analysis surpass its obvious shortcomings even for n onlinear problems. Therefore adjoint methods should be implemented for nonlinear coupled problems as Size: 9MB.

Sensitivity and Uncertainty Analysis of Commercial Reactor Criticals for Burnup Credit Manuscript Completed: October Date Published: January Prepared by G. Radulescu, D. Mueller, and J.

Wagner Oak Ridge National Laboratory Managed by UT-Battelle, LLC Oak Ridge, TN M. Aissa, NRC Project Manager Prepared for. SENSITIVITY AND UNCERTAINTY ANALYSIS OF MULTIPHYSICS NUCLEAR REACTOR CORE DEPLETION by Andrew Scott Bielen A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Nuclear Engineering and Radiological Sciences) in the University of Michigan Doctoral Committee.

Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters. Sensitivity and uncertainty analysis of reactor performance parameters book This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis.

Sensitivity & Uncertainty Analysis, Volume 1: Theory (Sensitivity & Uncertainty 5/5(1). Introduction to Sensitivity and Uncertainty Analysis in Reactor Physics Maria Pusa September 16th, Outline Sensitivity analysis Uncertainty analysis Methods Application to reactor physics Example calculation.

Sensitivity Starting point: mathematical model containing uncertain parameters and response dependent on this model Question: If. Sensitivity and Uncertainty Analysis Methodologies for Fast Reactor Physics Needs to evaluate the prediction accuracy of reactor core parameters with clear accountability.

Importance of Nuclear-Data Sensitivity in Reactor Analysis 1. To understand the physical mechanism quantitatively by. Sensitivity Analysis and Uncertainty Propagation from Basic Nuclear Data to Reactor Physics and Safety Relevant Parameters • Codes for cross section sensitivity and uncertainty analysis • Reactor pressure vessel surveillance project, • Sensitivity and uncertainty analysis of criticality benchmark experiments - IRPhE project.

Parameter uncertainty is taken into account in the evaluation of a multitubular fixed-bed catalytic reactor design. It concerns the conversion of CFC based on laboratory observations. Uncertainty analysis based on sensitivity analysis of a reactor model is carried out to evaluate reactor operability and to deal with the parameter by: Abstract.

Sensitivity functions provide the basis for the sensitivity approach to uncertainty analysis. From the point of view of the practitioner, they are linear transformation functions expressing the relative change in reactor performance parameters due to a relative change in nuclear data or design by: A computer code, MUSAD was developed for the uncertainty and sensitivity analysis on the DeCART neutron transport calculations for a high temperature gas-cooled reactor.

Mercatali et al. performed sensitivity and uncertainty analysis using SCALE code package (based on the generalized perturbation theory) in order to assess the prediction uncertainty of some selected reactor integral parameters due to the uncertainty Cited by: 2. Nonlinear Functional Analysis Approach and sensitivity and uncertainty analyses.

differential and integral information for the estimation of reactor performance parameters. Get this from a library. Advances in Nuclear Science and Technology: Volume 14 Sensitivity and Uncertainty Analysis of Reactor Performance Parameters.

[Jeffery Lewins; Martin Becker] -- We have pleasure in presenting Volume Fourteen to our readers. Volume Fourteen signifies a new dimension for our series, a volume devoted to the development of a single.

Selecting a Suitable Sensitivity Analysis Method The Sensitivity Analysis Experiment and Results Conclusions Example 3: A Chemical Reactor Setting the Problem Thermal Runaway Analysis of a Batch Reactor Selecting the Sensitivity Analysis Method The sensitivity and uncertainty analysis of input parameters on thermohydraulic calculations for a research reactor has successfully done in this research.

The uncertainty analysis was carried out on input parameters for thermohydraulic calculation of sub-channel analysis using Code COOLOD-N. The input parameters include radial peaking factor, the increase bulk Author: Entin Hartini, Dinan Andiwijayakusuma, Muh Darwis Isnaeni.

to the overall output uncertainty, and is called sensitivity analysis. Sensitivity analysis in nuclear engineering has recently concen-trated mostly on the reactor physics and neutronics and, on the other hand, on thermal hydraulic modeling.

Sensitivity analysis of the fuel behavior models has received considerably less attention, although. Advances in Nuclear Science and Technology: Volume 14 Sensitivity and Uncertainty Analysis of Reactor Performance Parameters Hardcover – 31 Aug.

by Jeffery Lewins (Editor), Martin Becker (Editor)Format: Hardcover. Framatome ANP, Sandia National Laboratories (SNL), Oak Ridge National Laboratory (ORNL), and the University of Florida are cooperating on the U.S.

Department of Energy Nuclear Energy Research Initiative (NERI) project to design, assemble, execute, analyze, and document a series of critical experiments to validate reactor physics and criticality safety codes for the analysis. Weisbin, R.

Peelle, J. Marable, P. Collins, E. Kujawski, E. Greenspan, and G. de Saussure, “Sensitivity and Uncertainty Analysis of Reactor Performance Parameters,” Advances in Nuclear Sciences and Technology, Vol. 14 Cited by:   Mathematical models are utilized to approximate various highly complex engineering, physical, environmental, social, and economic phenomena.

Model parameters exerting the most influence on model results are identified through a ‘sensitivity analysis’. A comprehensive review is presented of more than a dozen sensitivity analysis by: OECD/NEA LWR Uncertainty Analysis in Modeling (UAM) Benchmark.

New Element. Uncertainty propagation is being estimated through the whole simulation process – the benchmark builds a framework of different phases, which can be used and followed in the future.

Objective. The chain of uncertainty propagation from basic data, and engineering. In particular, there is sometimes confusion as to the distinctions between uncertainty analysis and the related area of sensitivity analysis.

Most authors classify uncertainty analysis of a modeling evaluation as the determination of the amount of imprecision present in the predicted output parameters of interest, while sensitivity analysis is theFile Size: KB.

Sensitivity Analysis of an Advanced Gas-Cooled Reactor Control Rod Model M. Scott1, P. Green1, C. Grant-Wilson2, M. Bateman2, K. Worden1, N. Sims1 index and the total sensitivity index for each parameter and these were compared to local sensitivity analysis results.

The results suggest that the system performance is resistant to. Lecture Notes on Sensitivity-Uncertainty Based Nuclear Criticality Safety Validation!.

Nuclear Criticality Safety Validation – I. – Introduction - background, standards, definitions, USL, calculational margin, margin of subcriticality. – Selection of benchmarks. – Bias & bias uncertainty. – Sensitivity-uncertainty analysis. @article{osti_, title = {Application of sensitivity and uncertainty methodology to fast reactor integral experiment analysis}, author = {Weisbin, C R and Oblow, E M and Marable, J H and Peelle, R W and Lucius, J L}, abstractNote = {The first results are presented of a comprehensive application of the sensitivity theory developed for the FORSS code system to the analysis of fast reactor.

The variance-based global sensitivity analysis technique is robust, has a wide range of applicability, and provides accurate sensitivity information for most models. However, it requires input variables to be statistically independent.

A modification to this technique that allows one to deal with input variables that are blockwise correlated and normally distributed is by: 5. effect of various design parameters and to identify sources of uncertainty. Lomas and Eppel () examined performance of 3 SA methods (Differential sensitivity analysis, Monte Carlo analysis, and Stochastic sensitivity analysis) on 3 building energy programs (ESP, HTB2, and File Size: 1MB.

uncertainty and sensitivity analysis utilizing advanced approaches such as evidence theory and probability theory. Further, Sandia personnel are experts in effectively using these resources.

Uncertainty and Sensitivity Analysis Assessing the uncertainty present in any complex problem is an essential part of its.

System TH Codes for Reactor Safety Analysis Safety analysis is performed for nuclear power plants (NPPs) to assess the effectiveness of safety systems in NPP design and to calculate the consequences of reactor accidents. A tool essential to safety analysis are system thermal-hydraulic (TH) computer codes used to model the.

Model comparison and sensitivity analysis for a fixed bed reactor with two catalytic zones generated by the uncertainty of the parameters. Papageor-giou and Froment [6] showed the importance of the packing and the operating and kinetic parameters on the reactor performance.

It was shown that the sensitivityCited by: L. Bastidas et al.: Parameter sensitivity and uncertainty analysis for a storm surge and wave model Figure 1.

Delft3D model domain showing Hurricane Bob () track, tidal stations, and wave buoys along the US North Atlantic Coast. over hundreds of kilometers as well as water quality fate and transport over several meters (Deltares, ).Cited by: 8.

risk assessment and uncertainty quantification framework RAVEN (Reactor Analysis and Virtual Control Environment).

We evalu-ate our framework using a simulation dataset studying nuclear fuel performance. Keywords: Sensitivity analysis, uncertainty, nuclear simulation, computational topology.

1 INTRODUCTIONCited by: 6. Sensitivity & uncertainty User interfaces Primary sponsors. 3 MSR M&S Presentation database, parametric parameters (fuel/mod temp, mod dens, etc.) SCALE Code System NRC’s reactor licensing path.

ChemTriton Molten Salt Reactor Analysis MSR startup fuel cycle analysisFile Size: 6MB. 3. Sensitivity Analysis. Sensitivity analysis (SA) is a method for quantifying uncertainty in any type of complex model.

The objective of SA is to identify critical inputs (parameters and initial conditions) of a model and quantifying how input uncertainty impacts model outcome(s).Cited by: The quantification of uncertainties of various calculation results, caused by the uncertainties associated with the input nuclear data, is a common task in nuclear reactor physics applications.

Modern computation resources and improved knowledge on nuclear data allow nowadays to significantly advance the capabilities for practical investigations. Stochastic sampling is the Cited by: 5. CFENSS-SRS method for the uncertainty analysis of nuclear fuel and neutronics Aapo Taavitsainen uncertainty and sensitivity analysis, nuclear fuel, neutronics, perturbation, uncertainty propagation.

aalto-yliopisto of the di erent parameters of a nuclear reactor, and. effects of parameter uncertainty. A discussion of a trajectory sensitivity-based approach to approximating the effects of parameter uncertainty was presented in [8].

Those preliminary results are extended in this present paper. Sensitivity concepts are generally associated with the lin-earization of an input-output relationship. Small changes in. @article{osti_, title = {Design sensitivity analysis of structural systems}, author = {Haug, E.J.

and Choi, K.K. and Komkov, V.}, abstractNote = {This volume presents a treatment of structural design sensitivity analysis. Both the mathematical and engineering foundations of design sensitivity analysis of structural systems are examined with a broad range of .Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs.

A related practice is uncertainty analysis, which has a greater focus on uncertainty quantification and propagation of uncertainty; ideally, uncertainty and sensitivity analysis. Rather, a set of key parameters was carefully chosen to capture important influences on release and consequence results.

21 MELCOR parameters and MACCS parameters (representing 20 parameter groups) were included in the integrated analysis. The uncertainty in these parameters was propagated to consequence results in a two-step Monte .

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