Adaptive fuzzy system for fuel rod cladding failure in nuclear power plant
|
|
- Elvin Davidson
- 7 years ago
- Views:
Transcription
1 annals of NUCLEAR ENERGY Annals of Nuclear Energy 34 (2007) Technical note Adaptive fuzzy system for fuel rod cladding failure in nuclear power plant Antonio C.F. Guimarães *, Celso M.F. Lapa Instituto de Engenharia Nuclear Divisão de Reatores/CNEN, Ilha do Fundão s/n, , P.O. Box 68550, Rio de Janeiro, Brazil Received 14 July 2006; received in revised form 16 August 2006; accepted 30 November 2006 Available online 1 February 2007 Abstract A new approach to the study of ballooning that causes cladding failure in fuel rods using an adaptive neural fuzzy inference system (ANFIS) is presented in this paper. By mapping input/output patterns describing cladding failure phenomena through average inner cladding temperature and fuel rod gas pressure, ANFIS shows a great potential to modeling this problem in alternative to the traditional approach. A typical pressurized water reactor fuel rod data was used to this application. The results confirm the potential of ANFIS comparatively to experimental calculations. Ó 2007 Elsevier Ltd. All rights reserved. 1. Introduction Artificial intelligence (AI) approaches and methodologies have been successfully applied to many complex problems related to project, operation and improvement of the safety level in nuclear power plants. In Guimarães (2003a) was used the fuzzy logic methodology to establish inservice inspection priorities for nuclear components. In Guimarães (2003b) was developed a new methodology for the study of flow accelerated corrossion (FAC) phenomenon based on a fuzzy rule system. In Guimarães and Lapa (2004a) were studied the effects analysis fuzzy inference system in nuclear problems using approximate reasoning. In Guimarães and Lapa (2004b) was considered the fuzzy inference system for evaluating and improving nuclear power plant operating performance. Now, loss of coolant of accident (LOCA) in nuclear power plant (NPP) and subsequent straining and ballooning of the cladding with failure from excessive strain or departure from nucleate boiling has motivated the development of a new approach in AI. * Corresponding author. Tel.: ; fax: addresses: tony@ien.gov.br (A.C.F. Guimarães), lapa@ien. gov.br (C.M.F. Lapa). A light water reactor (LWR) fuel rod typically consists of UO2 fuel pellets enclosed in Zircaloy cladding, as shown in the Fig. 1 (Cunningham et al., 2001a). The primary function of the cladding is to contain the fuel column and the radioactive fission products. If the cladding does not crack, rupture, or melt during a reactor transient, the radioactive fission products are contained within the fuel rod. During some reactor transients and hypothetical accidents, however, the cladding may be weakened by a temperature increase, embrittled by oxidation, or over stressed by mechanical interaction with the fuel. These events alone or in combination can cause cracking or rupture of the cladding and release of the radioactive products to the coolant. Furthermore, the rupture or melting of the cladding of one fuel rod can alter the flow of reactor coolant and reduce the cooling of neighboring fuel rods. This event can lead to the loss of a coolable reactor core geometry. More detailed descriptions can be found in Cunningham et al. (2001a). The pressure of the gas in the fuel rod must be known in order to calculate the deformation cladding and the transfer of heat across the fuel-cladding gap. The pressure is a function of the temperature, volume and quantity of gas. Because the temperature is spatially non-uniform, the fuel rod must be divided into several smaller volumes so that /$ - see front matter Ó 2007 Elsevier Ltd. All rights reserved. doi: /j.anucene
2 234 A.C.F. Guimarães, C.M.F. Lapa / Annals of Nuclear Energy 34 (2007) temperature in each small volume can be assumed to be uniform. In particular, the fuel rod is divided into a plenum volume and several fuel-cladding gap and fuel void volumes. The temperature of each volume is given by the temperature model, the size of the volume by the deformation model, and the quantity of gases by the fission gas release model (Cunningham et al., 2001a). In the FRAPTRAN code, the internal gas pressure can be calculated by either a static pressure model (which assumes that all volumes inside the fuel rod equilibrate in pressure instantaneously) or by a transient pressure model which takes into account the viscous flow of the gas in the fuel rod. The transient model is an input option. Unless the fuel-cladding gap is small (<25 lm) or closed, the static and transient models give identical results. An integral assessment has been performed of the FRAPTRAN transient fuel behavior code designed to analyze fuel rod thermal and mechanical behavior during a range of transients with fuel burn up to 65 GWd/MTU. This assessment was performed for the US Nuclear Regulatory Commission by Pacific Northwest National Laboratory to quantify the predictive capabilities of FRAPTRAN. The FRAPTRAN predictions are shown to compare satisfactorily to a selected set of experimental data from reactivity-initiated accident (RIA), loss-of-coolant-accident (LOCA), and other transient operating conditions. The assessment was performed by comparing FRAP- TRAN code calculations to data from selected integral irradiation experiments and post irradiation examination programs. In this paper, a new methodology for cladding failure problem, only in LOCA situation, was proposed and the same experimental data used in case of FRAPTRAN analysis were used in our application to estimate the rod internal gas pressure from the cladding temperature. In the following item are presented a few words of traditional computer code FRAPTRAN, for this problem. The ANFIS approach will be described in item Section 3. Development of the system will be presented in Section 4. The results will be presented in Section 5 and the conclusions in Section Words of traditional approach Fig. 1. Schematic of typical LWR fuel rod. The fuel rod analysis program transient (FRAPTRAN) is a FORTRAN language computer code that calculates the transient performance of light water reactor fuel rods during reactor power and coolant transients for hypothetical accidents such as loss-of-coolant accidents (LOCA), anticipated transients without scram, and reactivity-initiated accidents (RIA). FRAPTRAN calculates the temperature and deformation history of a fuel rod as function of time-dependent fuel rod power and coolant boundary conditions. FRAPTRAN is intended to be used as a stand alone code. The phenomena modeled by FRAPTRAN include: (a) heat conduction, (b) heat transfer from cladding to coolant, (c) elastic plastic fuel and cladding deformation, (d) cladding oxidation, and (e) fuel rod gas pressure. FRAP- TRAN was developed from the FRAP-T6 code and incorporates burnup-dependent parameters and corrects errors. Burnup dependent parameters may be initialized from the FRAPCON-3 steady-state single rod fuel performance code. FRAPTRAN is a computer code developed for the US Nuclear Regulatory Commission up to burnup levels of 65 GWd/MTU. FRAPTRAN uses a finite difference heat conduction model for the transient thermal solution, the FRA- CAS-I mechanical model, and the MATPRO (Hohorst, 1990) material properties package. To account for the effects of high burnup, FRAPTRAN uses a new model for UO2 thermal conductivity that incorporates the degradation effects of burnup and a revised model for Zircaloy mechanical properties that accounts for the effect of oxidation and hydrides in addition to irradiation damage. Burnup-dependent fuel rod initial conditions can be obtained from the companion FRAPCON-3 (Berna et al., 1997) steady-state fuel rod performance code. FRAPTRAN was developed from the FRAP-T6 transient code and is intended to replace the FRAP-T6 code. The development approach for FRAPTRAN was to implement applicable existing high-burnup models rather than developing new
3 A.C.F. Guimarães, C.M.F. Lapa / Annals of Nuclear Energy 34 (2007) models, to not substantially change the code structure, to remove no longer needed or used coding, to correct known or found problems in FRAP-T6, and to improve ease of use. To meet these objectives, in addition to changing fuel and cladding models, other changes include deleting dynamic dimensioning and options such as uncertainty analysis, failure analysis, and licensing evaluation models. The ability to accurately calculate the performance of light water reactor (LWR) fuel during irradiation, and during both long-term steady-state and various operational transients and hypothetical accidents, is an objective of the reactor safety research program being conducted by the US Nuclear Regulatory Commission (NRC). To achieve this objective, the NRC has sponsored an extensive program of analytical computer code development and both in-reactor and out-of-reactor experiments to generate the data necessary for development and verification of the computer codes. Provided in volume 1 (Cunningham et al., 2001a) report, there is a description of the FRAPTRAN (Fuel Rod Analysis Program Transient) code developed to calculate the response of single fuel rods to operational transients and hypothetical accidents at burnup levels up to 65 GWd/MTU. The FRAPTRAN code is the successor to the FRAP-T (Fuel Rod Analysis Program-Transient) code series developed in the 1970s and 1980s. FRAPTRAN is also a companion code to the FRAPCON-3 code (Berna et al., 1997) developed to calculate the steady-state high burnup response of a single fuel rod. A major driver for FRAPTRAN was to incorporate new burnup-dependent models and understand and develop a code that could predict cladding strain resulting from transients. The FRAP-T computer code series was developed in the 1970s and 1980s for predicting the performance of LWR fuel rods during operational transients and hypothetical accidents. However, since FRAP-T6 (Siefken et al., 1981; Siefken et al., 1983) was completed, additional experimental data and knowledge of fuel performance have been obtained, thus necessitating an update to the code. In volume 2 (Cunningham et al., 2001b) is the code assessment based on comparisons of code predictions to fuel rod integral performance data up to high burnup (65 GWd/MTU). 3. Description of fuzzy system methodology 3.1. ANFIS This section describes the methodology, which was used to perform the estimated Fuel Rod Gas Pressure. This is a new approach in this type of area. An ANFIS is an fuzzy inference system (FIS) that can be trained with a backpropagation algorithm to model some collection of input/output data. Allowing the system to adapt provides the fuzzy system with the ability to learn the input/output relationships embedded in the collected data. The ANFIS network structure facilitates the computation of a gradient vector that relates the reduction of an error function to a change in the parameters of the FIS. Once this gradient vector is obtained, a number of optimization routines can be applied to reduce the error between the actual and the desired outputs. In the neural network literature, this process is called learning by example (Hines et al., 1997). The ANFIS described here uses the Sugeno-style fuzzy model (also known as the TSK fuzzy model) proposed by Takagi and Sugeno (1985) and Sugeno and Kang (1988). Takagi and Sugeno (1985) proposed to use the following fuzzy IF THEN rules: L ðlþ : IF x 1 is F l 1 and... and x n is F l n ; THEN y l ¼ c l 0 þ cl 1 x1 þ...þ c l n x n ð1þ where F l i are fuzzy sets, c i are real-valued parameters, y l is the system output due to rule L (l), and l = 1,2,...,M. That is, they considered rules whose IF part is fuzzy but whose THEN part is crisp the output is a linear combination of input variables. For a real-valued input vector x =(x 1,...,x n ) T, the output y(x) of Takagi and Sugeno s fuzzy system is a weighted average of the y l s: Y ðxþ ¼ R M l¼1 wl y l = R M l¼1 wl ð2þ Fig. 2. Basic configuration of Takagi and Sugeno s fuzzy system.
4 236 A.C.F. Guimarães, C.M.F. Lapa / Annals of Nuclear Energy 34 (2007) where the weight w l implies the overall truth value of the premise of rule L (l) for the input and is calculated as W l ¼ P n i¼1 l Fliðx i Þ ð3þ The configuration of Takagi and Sugeno s fuzzy system is shown in the Fig MatLab ANFIS MATLAB6 s software package and its associated fuzzy logic toolbox (MatLab, 2000) were used to create the adaptive neural fuzzy inference system. MATLAB6 s ANFIS support first-order Sugeno systems have a single output and unity weights for each rule. 4. Development of the system Loss-of-coolant accidents typically occur from full power conditions are initiated with scram, coolant flow is lost, and then eventually coolant flow is restored (reflood and quench). The energy is already present in the fuel at the time of the scram, with a continuing low level of energy deposition in the fuel from decay heat. Another component of energy deposition during the transient, depending on conditions, may be heat generation in the cladding from Zircaloy oxidation. The response of the fuel rods is cladding heatup, while the fuel cools down, and subsequent straining and ballooning of the cladding with failure from either excessive strain or departure from nucleate boiling. Instrumentation during LOCA transient experiments typically consists of cladding outer thermocouples, fuel centerline thermocouples, fuel rod gas pressure (and occasionally plenum temperature), cladding axial elongation, and coolant conditions (temperature, pressure, flow). The database used for this assessment consists of essentially non-irradiated fuel rods. The rods did acquire some minimal burnup during power calibration and decay heat buildup periods prior to the LOCA transients. Post-test examinations may include metrology (diameter and rupture location) and metallography. The typically available data for LOCAs, the assessment of code performance, concentrate on both the thermal and mechanical performance of the test rods. Key parameters for comparison to data are time to rupture, axial location of rupture and ballooning, cladding elongation history, and rod gas pressure history. Three types of the LOCA, named MT-1, MT-4 and MT- 6A, were considered with FRAPTRAN analysis, but only the MT-6A assessment was chosen for our ANFIS application. A principal difference between MT-6A and the other two tests was a redesign of the test train to reduce cladding circumferential temperature gradients and thus induce greater amounts of cladding ballooning and flow blockage. Representative cladding inner surface temperature histories for MT-6A are provided in the Fig. 3, considered as input. A plenum gas pressure history representative for this test is provided in the Fig. 4, considered as output of ANFIS system. The data considered in this analysis were the data obtained fom experimental calculations Input parameter In Figs. 3 and 4, 33 patterns were defined and analyzed with 2.5 s intervals. These values are presented in the Table 1. On defining the input/output data to be mapping with fuzzy inference system (FIS), in the next item, the training, validation and testing data set selection will be presented Training (T), validation (V) and testing data To train the ANFIS, we used the index odd patterns of the entire data set, which resulted in 17 patterns, while for the validation data set, we used the index even patterns, which yielded a total of 16 patterns. Only five patterns found in the training data set were repeated in the validation set (Index odd,even numbers 1, 2, 3, 6 and 17), this being due to a small number of total patterns available. The validation set monitors the fuzzy systems ability to generalize during training (the same principle as cross-validation training in neural network). Each data set, training and Fig. 3. Cladding inner surface temperature for MT-6A ( F Index).
5 A.C.F. Guimarães, C.M.F. Lapa / Annals of Nuclear Energy 34 (2007) Fig. 4. Plenum gas pressure for MT-6A (MPa Index). Table 1 Values of temperatures (F) and plenum gas pressure (MPa) Index Elapsed time (s) Inner temperature of cladding (F) Fuel rod gas pressure (Mpa) Table 2 All patterns used for training and validation of the ANFIS Index odd,even Temp (T odd) (F) Fuel rod gas pressure (T odd) validation, contained the maximum and minimum data value for each data pattern in the entire data set. It is important to cover the entire span of a fuel rod gas pressure s actuation range so that values will be covered in the membership functions domain. Testing of the system was performed with the entire data set, which consisted of 33 patterns. In the Table 2 are presented the training (T) and validation (V) data for this application. In the Figs. 5 and 6, the training and validation data output are presented graphically ANFIS structure and training Temp (V even) (F) Fuel rod gas pressure (V even) In this part, it will be described how the fuzzy inference system (FIS) was developed. MATLAB s software package and its associated fuzzy logic toolbox were used to create the ANFIS based on the data set defined before. MAT- LAB s ANFIS supports first-order Sugeno systems that have single output and unity weights for each rule. The ANFIS is developed by using a training data set that contains the desired input/output data pairs of the system to be modeled and a validation data set that checks the generalization capability of the resulting FIS. The FIS parameters with minimum validation set error are chosen as optimal. In the Fig. 7, the FIS Sugeno is presented schematically. After the performance of some test with MATLAB s simulator the use of five gauss memberships functions was
6 238 A.C.F. Guimarães, C.M.F. Lapa / Annals of Nuclear Energy 34 (2007) Fig. 5. Training data set for ANFIS (MPa Index odd ) Fig. 6. Validation data set for ANFIS (MPa Index even ). Fig. 7. Sugeno fuzzy inference system. found to be optimal. In the Fig. 8, these five membership functions are plotted. 5. Results Measured time to rupture for the MT-6A rods was between 58 and 64 s, while FRAPTAN predicted time to rupture was 40 s (Cunningham et al., 2001b). The ANFIS predicted and measured gas pressure histories are compared in the Fig. 9. Note that each point in the axe index has 2.5 s, which means that time to rupture rods was between 25 and 30 in the ANFIS predicted. In general, good agreement was obtained between the ANFIS prediction and the experimental data for rod gas pressure and time to failure. In the Table 1 the Index or Elapsed Time in seconds can be seen with an interval of 2.5 s for each point of Index. In the Table 2, the Index odd (Temp (T) and Fuel Rod Gas Pressure (T) where T means Training) and Index even (Temp (V) and Fuel Rod Gas Pressure (V) where V means Validation) are presented together as Index odd, even and represent a new index for odd and
7 A.C.F. Guimarães, C.M.F. Lapa / Annals of Nuclear Energy 34 (2007) Fig. 8. Membership function of input variable temperature. Fig. 9. Comparison of measured and predicted plenum gas pressure for MT-6A (Mpa Index). even data set used in ANFIS. And then, the Index in the Fig. 9 is the same Index used in the Fig. 4, when all data sets are considered. Now, if rupture is found between 25 and 30, we only have to multiply this number there by 2.5 to find the appropriate time to rupture in seconds. 6. Conclusion A fuzzy inference system using ANFIS was presented in this article to predict the Fuel Rod Gas Pressure history from Cladding Inner Surface Temperatures history for Loss-of-Coolant accident simulation. Experimental results for this temperature were used for predicted pressure. The results of this study have shown that the prediction system using an ANFIS is very pratical and simple. For illustration effects to application ANFIS methodology, only one data set, specific to measured cladding inner surface temperature data at elevations of 90 in., was considered. Experimental data were collected for six elevations. Future developments will be considering all elevations and other feasible predictions to compare with experimental results. Acknowledgements This research has been supported by the National Council for Scientific and Technological Development (CNPq), a foundation linked to the Ministry of Science and Technology (MCT), to support Brazilian research. Grant number: /
8 240 A.C.F. Guimarães, C.M.F. Lapa / Annals of Nuclear Energy 34 (2007) References Berna, G.A. et al., FRAPCON-3: a computer code for the calculation of steady-state, thermal mechanical behavior of oxide fuel rods for high burnup. NUREG/CR-6534 (PNNL-11513), vol. 2, Pacific Northwest National Laboratory, Richland, Washington. Cunningham, M.E., Beyer, C.E., Medvedev, P.G., Berna, G.A., FRAPTAN: A Computer Code for the Transient Analysis of Oxide Fuel Rod, NUREG/CR 6739, vol. 1, US Nuclear Regulatory Commission. Cunningham, M.E., Beyer, C.E., Panisko, F.E., Medvedev, P.G., Berna, G.A, Scott, H.H., FRAPTRAN: Integral Assessment, NUREG/CR 6739, vol. 2, US Nuclear Regulatory Commission. Guimarães, A.C.F., 2003a. The use of fuzzy logic methodology to establish inservice inspection priorities for nuclear components. Progress in Nuclear Energy 42 3, Guimarães, A.C.F., 2003b. A new methodology for the study of FAC phenomenon based on a fuzzy rule system. Annals of Nuclear Energy 30 7, Guimarães, A.C.F., Lapa, C.M.F., 2004a. Effects analysis fuzzy inference system in nuclear problems using approximate reasoning. Annals of Nuclear Energy 31 1, Guimarães, A.C.F., Lapa, C.M.F., 2004b. Fuzzy inference system for evaluating and improving nuclear power plant operating performance. Annals of Nuclear Energy 31 3, Hines, J.W., Wrest, D.J., Uhrig, R.E., Signal validation using an adaptive neural fuzzy inference system. Nuclear Technology 119, Hohorst, J.K., SCDAP/RELAP5/MOD2 Code Manual, vol. 4: MATPRO A Library of Materials Properties for Light Water- Reactor Accident Analysis. NUREG/CR-5273 (EGG-2555), vol. 4, EG&G Idaho, Inc., Idaho Falls, Idaho. MatLab 6, User s Guide of the Fuzzy Logic Toolbox. Siefken, L.J. et al., FRAP-T6: A Computer Code for the Transient Analysis of Oxide Fuel Rods. NUREG/CR-2148 (EGG-2104), EG&G Idaho, Inc., Idaho Falls, Idaho. Siefken, L.J. et al., FRAP-T6: A Computer Code for the Transient Analysis of Oxide Fuel Rods. NUREG/CR-2148 Addendum (EGG Addendum), EG&G Idaho, Inc., Idaho Falls, Idaho. Sugeno, M., Kang, G.T., Structure identification of fuzzy models. Fuzzy Sets and System 28, 15. Takagi, T., Sugeno, M., Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems Man and Cybernetics SMC-15 (1),
THE COMPARISON OF THE PERFORMANCE FOR THE ALLOY FUEL AND THE INTER-METALLIC DISPERSION FUEL BY THE MACSIS-H AND THE DIMAC
THE COMPARISON OF THE PERFORMANCE FOR THE ALLOY FUEL AND THE INTER-METALLIC DISPERSION FUEL BY THE MACSIS-H AND THE DIMAC Byoung-Oon Lee, Bong-S. Lee and Won-S. Park Korea Atomic Energy Research Institute
More informationPOST-IMPLEMENTATION REVIEW OF INADEQUATE CORE COOLING INSTRUMENTATION. J. L. Anderson. R. L. Anderson
POST-IMPLEMENTATION REVIEW OF INADEQUATE CORE COOLING INSTRUMENTATION J. L. Anderson. R. L. Anderson E. W. Hagen CONF-881103 14 T. C. Morelock Oak Ridge National Laboratory* DE89 002347 Oak Ridge, Tennessee
More informationTrip Parameter Acceptance Criteria for the Safety Analysis of CANDU Nuclear Power Plants
REGULATORY GUIDE Trip Parameter Acceptance Criteria for the Safety Analysis of CANDU Nuclear Power Plants G 144 May 2006 TYPES OF REGULATORY DOCUMENTS Regulatory documents support the Canadian Nuclear
More informationTest Section for Experimental Simulation of Loss of Coolant Accident in an Instrumented Fuel Assembly Irradiated in the IEA-R1 Reactor
2013 International Nuclear Atlantic Conference - INAC 2013 Recife, PE, Brazil, November 24-29, 2013 ASSOCIAÇÃO BRASILEIRA DE ENERGIA NUCLEAR - ABEN ISBN: 978-85-99141-05-2 Test Section for Experimental
More informationCore Curriculum to the Course:
Core Curriculum to the Course: Environmental Science Law Economy for Engineering Accounting for Engineering Production System Planning and Analysis Electric Circuits Logic Circuits Methods for Electric
More informationINTEGRATION OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR NUCLEAR POWER PLANT SURVEILLANCE AND DIAGNOSTICS DESCRIPTION OF PROJECT
INTEGRATION OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR NUCLEAR POWER PLANT SURVEILLANCE AND DIAGNOSTICS Robert E. Uhrig and J. Wesley Hines Department of Nuclear Engineering, University of Tennessee, Knoxville,
More informationSCDAP/RELAP5-3D : A State-of-the-Art Tool for Severe Accident Analyses
SCDAP/RELAP5-3D : A State-of-the-Art Tool for Severe Accident Analyses D. L. Knudson and J. L. Rempe 2002 RELAP5 International Users Seminar Park City, Utah, USA September 4-6, 2002 Objective and Outline
More informationAccidents of loss of flow for the ETTR-2 reactor: deterministic analysis
NUKLEONIKA 2000;45(4):229 233 ORIGINAL PAPER Accidents of loss of flow for the ETTR-2 reactor: deterministic analysis Ahmed Mohammed El-Messiry Abstract The main objective for reactor safety is to keep
More informationCFD Topics at the US Nuclear Regulatory Commission. Christopher Boyd, Ghani Zigh Office of Nuclear Regulatory Research June 2008
CFD Topics at the US Nuclear Regulatory Commission Christopher Boyd, Ghani Zigh Office of Nuclear Regulatory Research June 2008 Overview Computational Fluid Dynamics (CFD) is playing an ever increasing
More informationTechnological Development to Support a Change in the United Kingdom's Strategy for Management of Spent AGR Oxide Fuel
Technological Development to Support a Change in the United Kingdom's Strategy for Management of Spent AGR Oxide Fuel John Kyffin & Andy Hillier Sellafield Ltd. International Conference on Management of
More informationComparison of Pellet-Cladding Mechanical Interaction for Zircaloy and Silicon Carbide Clad Fuel Rods in Pressurized Water Reactors
Comparison of Pellet-Cladding Mechanical Interaction for Zircaloy and Silicon Carbide Clad Fuel Rods in Pressurized Water Reactors Prepared By: David Carpenter Prepared For: 22.314 Prepared On: December
More informationNaue GmbH&Co.KG. Quality Control and. Quality Assurance. Manual. For Geomembranes
Naue GmbH&Co.KG Quality Control and Quality Assurance Manual For Geomembranes July 2004 V.O TABLE OF CONTENTS 1. Introduction 2. Quality Assurance and Control 2.1 General 2.2 Quality management acc. to
More informationTECHNICAL MEETING ON IN-PILE TESTING AND INSTRUMENTATION FOR DEVELOPMENT OF GENERATION-IV FUELS AND STRUCTURAL MATERIALS
651-T1-TM-42785 TECHNICAL MEETING ON IN-PILE TESTING AND INSTRUMENTATION FOR DEVELOPMENT OF GENERATION-IV FUELS AND STRUCTURAL MATERIALS I. BACKGROUND Halden, Norway 21 24 August 2012 INFORMATION SHEET
More informationWWER Type Fuel Manufacture in China
WWER Type Fuel Manufacture in China Yang Xiaodong P.O. Box 273, CJNF, YiBin City, Sichuan, China, [Fax: (+86)8318279161] Abstract: At CJNF, a plan was established for implementation of technical introduction
More informationApplications of Fuzzy Logic in Control Design
MATLAB TECHNICAL COMPUTING BRIEF Applications of Fuzzy Logic in Control Design ABSTRACT Fuzzy logic can make control engineering easier for many types of tasks. It can also add control where it was previously
More informationFuzzy Logic Based Reactivity Control in Nuclear Power Plants
Fuzzy Logic Based Reactivity Control in Nuclear Power Plants Narrendar.R.C 1, Tilak 2 P.G. Student, Department of Mechatronics Engineering, VIT University, Vellore, India 1 P.G. Student, Department of
More informationFRAPCON-3.5: A Computer Code for the Calculation of Steady-State, Thermal-Mechanical Behavior of Oxide Fuel Rods for High Burnup
NUREG/CR-70, Vol. Rev. PNNL-948, Vol. Rev. FRAPCON-3.5: A Computer Code for the Calculation of Steady-State, Thermal-Mechanical Behavior of Oxide Fuel Rods for High Burnup Manuscript Completed: May 04
More informationStrategic Research Agenda of the MTA Centre for Energy Research related to the Atomic Energy Research Version 2013
Strategic Research Agenda of the MTA Centre for Energy Research related to the Atomic Energy Research Version 2013 The Strategic Research Agenda related to the Atomic Energy Research is determined by the
More informationTechnical Challenges for Conversion of U.S. High-Performance Research Reactors (USHPRR)
Technical Challenges for Conversion of U.S. High-Performance Research Reactors (USHPRR) John G. Stevens, Ph.D. Argonne National Laboratory Technical Lead of Reactor Conversion GTRI USHPRR Conversion Program
More information4. Reactor AP1000 Design Control Document CHAPTER 4 REACTOR. 4.1 Summary Description
CHAPTER 4 REACTOR 4.1 Summary Description This chapter describes the mechanical components of the reactor and reactor core, including the fuel rods and fuel assemblies, the nuclear design, and the thermal-hydraulic
More informationAGING CHARACTERISTICS OF NUCLEAR PLANT RTDS AND PRESSURE TRANSMITTERS
0 THE 4TH INTERNATIONAL TOPICAL MEETING ON NUCLEAR THERMAL HYDRAULICS, OPERATIONS AND SAFETY April 68,1994, Taipei, Taiwan XA04NO629 AGING CHARACTERISTICS OF NUCLEAR PLANT RTDS AND PRESSURE TRANSMITTERS
More informationDEVELOPMENT OF A DYNAMIC SIMULATION MODE IN SERPENT 2 MONTE CARLO CODE
International Conference on Mathematics and Computational Methods Applied to Nuclear Science & Engineering (M&C 2013) Sun Valley, Idaho, USA, May 5-9, 2013, on CD-ROM, American Nuclear Society, LaGrange
More informationSimulation of Residual Stresses in an Induction Hardened Roll
2.6.4 Simulation of Residual Stresses in an Induction Hardened Roll Ludwig Hellenthal, Clemens Groth Walzen Irle GmbH, Netphen-Deuz, Germany CADFEM GmbH, Burgdorf/Hannover, Germany Summary A heat treatment
More informationA NUMERICAL AND EXPERIMENTAL STUDY OF THE FACTORS THAT INFLUENCE HEAT PARTITIONING IN DISC BRAKES
FISITA2010-SC-P-26 A NUMERICAL AND EXPERIMENTAL STUDY OF THE FACTORS THAT INFLUENCE HEAT PARTITIONING IN DISC BRAKES Loizou, Andreas *, Qi, Hong-Sheng, Day, Andrew J University of Bradford, UK KEYWORDS
More informationSensitivity Analysis of the Fission Gas Behavior Model in BISON
SANDIA REPORT SAND2013-3906 Unlimited Release Printed May 2013 Sensitivity Analysis of the Fission Gas Behavior Model in BISON Laura P. Swiler, Giovanni Pastore, Richard L. Williamson, Danielle M. Perez
More informationIntroduction to Nuclear Fuel Cycle and Advanced Nuclear Fuels
Introduction to Nuclear Fuel Cycle and Advanced Nuclear Fuels Jon Carmack Deputy National Technical Director Fuel Cycle Technology Advanced Fuels Program February 27, 2011 The Evolution of Nuclear Power
More informationCOUPLED CFD SYSTEM-CODE SIMULATION OF A GAS COOLED REACTOR
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2011) Rio de Janeiro, RJ, Brazil, May 8-12, 2011, on CD-ROM, Latin American Section (LAS)
More informationAC 2008-2887: MATERIAL SELECTION FOR A PRESSURE VESSEL
AC 2008-2887: MATERIAL SELECTION FOR A PRESSURE VESSEL Somnath Chattopadhyay, Pennsylvania State University American Society for Engineering Education, 2008 Page 13.869.1 Material Selection for a Pressure
More informationBEST-ESTIMATE TRANSIENT ANALYSIS WITH SKETCH-INS/TRAC-BF1, ASSESSMENT AGAINST OECD/NEA BWR TURBINE TRIP BENCHMARK ABSTRACT
BEST-ESTIMATE TRANSIENT ANALYSIS WITH SKETCH-INS/TRAC-BF1, ASSESSMENT AGAINST OECD/NEA BWR TURBINE TRIP BENCHMARK Hideaki Utsuno, Fumio Kasahara Nuclear Power Engineering Corporation (NUPEC) Fujita kanko
More informationDIPE: DETERMINATION OF INPUT PARAMETERS UNCERTAINTIES METHODOLOGY APPLIED TO CATHARE V2.5_1 THERMAL-HYDRAULICS CODE
5th International Conference on Nuclear Engineering Nagoya, Japan, April 22-26, 27 ICONE5-224 DIPE: DETERMINATION OF INPUT PARAMETERS UNCERTAINTIES METHODOLOGY APPLIED TO CATHARE V2.5_ THERMAL-HYDRAULICS
More informationNuclear power plant systems, structures and components and their safety classification. 1 General 3. 2 Safety classes 3. 3 Classification criteria 3
GUIDE 26 June 2000 YVL 2.1 Nuclear power plant systems, structures and components and their safety classification 1 General 3 2 Safety classes 3 3 Classification criteria 3 4 Assigning systems to safety
More informationModule 1 : Conduction. Lecture 5 : 1D conduction example problems. 2D conduction
Module 1 : Conduction Lecture 5 : 1D conduction example problems. 2D conduction Objectives In this class: An example of optimization for insulation thickness is solved. The 1D conduction is considered
More informationWHITE PAPER PROPOSED CONSEQUENCE-BASED PHYSICAL SECURITY FRAMEWORK FOR SMALL MODULAR REACTORS AND OTHER NEW TECHNOLOGIES
WHITE PAPER PROPOSED CONSEQUENCE-BASED PHYSICAL SECURITY FRAMEWORK FOR SMALL MODULAR REACTORS AND OTHER NEW TECHNOLOGIES November 2015 ACKNOWLEDGMENT This NEI White Paper was developed by the NEI Small
More informationNURESAFE EUROPEAN PROJECT Second General Seminar
NURESAFE EUROPEAN PROJECT Second General Seminar Brussels, Belgium November 4-5, 2015 Announcement and Proposed Program Background and Purpose of the Meeting The NURESAFE European project aims at delivering
More informationRAVEN: A GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework
INL/CON-13-28360 PREPRINT RAVEN: A GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework ANS Annual Meeting C. Rabiti D. Mandelli A. Alfonsi J. J. Cogliati R. Kinoshita D. Gaston R. Martineau
More informationWestinghouse UK AP1000 GENERIC DESIGN ASSESSMENT. Resolution Plan for GI-AP1000-FD-02. Tolerability of Depressurisation Forces in LBLOCA
MAIN ASSESSMENT AREA GDA ISSUE: Westinghouse UK AP1000 GENERIC DESIGN ASSESSMENT Tolerability of Depressurisation Forces in LBLOCA RELATED ASSESSMENT AREA(S) RESOLUTION PLAN REVISION GDA ISSUE REVISION
More informationBWR Description Jacopo Buongiorno Associate Professor of Nuclear Science and Engineering
BWR Description Jacopo Buongiorno Associate Professor of Nuclear Science and Engineering 22.06: Engineering of Nuclear Systems 1 Boiling Water Reactor (BWR) Public domain image by US NRC. 2 The BWR is
More informationCAROLFIRE The Cable Response to Live Fire Project
CAROLFIRE The Cable Response to Live Fire Project Presented by: Steven P. Nowlen Sandia National Laboratories Presented at: ANS Winter Meeting 2006 Albuquerque, NM Acknowledgements CAROLFIRE is a U.S.
More informationV K Raina. Reactor Group, BARC
Critical facility for AHWR and PHWRs V K Raina Reactor Group, BARC India has large reserves of Thorium Critical facility Utilisation of Thorium for power production is a thrust area of the Indian Nuclear
More informationReport WENRA Safety Reference Levels for Existing Reactors - UPDATE IN RELATION TO LESSONS LEARNED FROM TEPCO FUKUSHIMA DAI-ICHI ACCIDENT
Report WENRA Safety Reference Levels for Existing Reactors - UPDATE IN RELATION TO LESSONS LEARNED FROM TEPCO FUKUSHIMA DAI-ICHI ACCIDENT 24 th September 2014 Table of Content WENRA Safety Reference Levels
More information1 Finite difference example: 1D implicit heat equation
1 Finite difference example: 1D implicit heat equation 1.1 Boundary conditions Neumann and Dirichlet We solve the transient heat equation ρc p t = ( k ) (1) on the domain L/2 x L/2 subject to the following
More informationGovernment Degree on the Safety of Nuclear Power Plants 717/2013
Translation from Finnish. Legally binding only in Finnish and Swedish. Ministry of Employment and the Economy, Finland Government Degree on the Safety of Nuclear Power Plants 717/2013 Chapter 1 Scope and
More informationTENSILE AND CREEP DATA OF 316L (N) STAINLESS STEEL ANALYSIS
TENSILE AND CREEP DATA OF 316L (N) STAINLESS STEEL ANALYSIS V. Bindu Neeharika, K. S. Narayana, V. Krishna and M. Prasanth Kumar Mechanical Department, ANITS, Sangivalasa, Visakhapatnam India binduneeharika@yahoo.co.in
More informationDifferential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation
Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of
More informationOntario Power Generation Pickering Fuel Channel Fitness for Service. August 2014
Ontario Power Generation Pickering Fuel Channel Fitness for Service August 2014 2 Pickering Fuel Channel Fitness For Service Report 1.0 Introduction The purpose of any power station, regardless of type
More informationComparison of the Response of a Simple Structure to Single Axis and Multiple Axis Random Vibration Inputs
Comparison of the Response of a Simple Structure to Single Axis and Multiple Axis Random Vibration Inputs Dan Gregory Sandia National Laboratories Albuquerque NM 87185 (505) 844-9743 Fernando Bitsie Sandia
More informationFatigue Performance Evaluation of Forged Steel versus Ductile Cast Iron Crankshaft: A Comparative Study (EXECUTIVE SUMMARY)
Fatigue Performance Evaluation of Forged Steel versus Ductile Cast Iron Crankshaft: A Comparative Study (EXECUTIVE SUMMARY) Ali Fatemi, Jonathan Williams and Farzin Montazersadgh Professor and Graduate
More informationME 315 - Heat Transfer Laboratory. Experiment No. 7 ANALYSIS OF ENHANCED CONCENTRIC TUBE AND SHELL AND TUBE HEAT EXCHANGERS
ME 315 - Heat Transfer Laboratory Nomenclature Experiment No. 7 ANALYSIS OF ENHANCED CONCENTRIC TUBE AND SHELL AND TUBE HEAT EXCHANGERS A heat exchange area, m 2 C max maximum specific heat rate, J/(s
More informationA Study of Durability Analysis Methodology for Engine Valve Considering Head Thermal Deformation and Dynamic Behavior
A Study of Durability Analysis Methodology for Engine Valve Considering Head Thermal Deformation and Dynamic Behavior Kum-Chul, Oh 1, Sang-Woo Cha 1 and Ji-Ho Kim 1 1 R&D Center, Hyundai Motor Company
More informationU.S. NUCLEAR REGULATORY COMMISSION STANDARD REVIEW PLAN OFFICE OF NUCLEAR REACTOR REGULATION
U.S. NUCLEAR REGULATORY COMMISSION STANDARD REVIEW PLAN OFFICE OF NUCLEAR REACTOR REGULATION NUREG-0800 (Formerly NUREG-75/087) 9.2.2 REACTOR AUXILIARY COOLING WATER SYSTEMS REVIEW RESPONSIBILITIES Primary
More information. Space-time Analysis code for AHWR
1.2 ADVANCED COMPUTATIONAL TOOLS FOR PHYSICS DESIGN. Space-time Analysis code for AHWR The knowledge of the space and time dependent behaviour of the neutron flux is important for the reactor safety analysis
More informationAdvantage of Using Water-Emulsified Fuel on Combustion and Emission Characteristics
Advantage of Using Water-Emulsified Fuel on Combustion and Emission Characteristics T. Yatsufusa *1, T. Kumura, Y. Nakagawa, Y. Kidoguchi The University of Tokushima Abstract In the present study, the
More informationTRANSURANUS: A Fuel Rod Analysis Code Ready for Use
BG9600363 TRANSURANUS: A Fuel Rod Analysis Code Ready for Use K. Lassmann C. O'Carroll J. van de Laar C. Ott 2 _. 1 EC JRC, Institute for Transuranium Elements, Karlsruhe, Germany 2 Paul Scherrer Institute,
More informationFukushima 2011. Fukushima Daiichi accident. Nuclear fission. Distribution of energy. Fission product distribution. Nuclear fuel
Fukushima 2011 Safety of Nuclear Power Plants Earthquake and Tsunami Accident initiators and progression Jan Leen Kloosterman Delft University of Technology 1 2 Nuclear fission Distribution of energy radioactive
More informationBoiling Water Reactor Systems
Boiling Water (BWR) s This chapter will discuss the purposes of some of the major systems and components associated with a boiling water reactor (BWR) in the generation of electrical power. USNRC Technical
More informationINJECTION MOLDING COOLING TIME REDUCTION AND THERMAL STRESS ANALYSIS
INJECTION MOLDING COOLING TIME REDUCTION AND THERMAL STRESS ANALYSIS Tom Kimerling University of Massachusetts, Amherst MIE 605 Finite Element Analysis Spring 2002 ABSTRACT A FEA transient thermal structural
More informationLong Term Operation R&D to Investigate the Technical Basis for Life Extension and License Renewal Decisions
Long Term Operation R&D to Investigate the Technical Basis for Life Extension and License Renewal Decisions John Gaertner Technical Executive Electric Power Research Institute Charlotte, North Carolina,
More informationPREDICTION OF MACHINE TOOL SPINDLE S DYNAMICS BASED ON A THERMO-MECHANICAL MODEL
PREDICTION OF MACHINE TOOL SPINDLE S DYNAMICS BASED ON A THERMO-MECHANICAL MODEL P. Kolar, T. Holkup Research Center for Manufacturing Technology, Faculty of Mechanical Engineering, CTU in Prague, Czech
More informationAdaptive Cruise Control of a Passenger Car Using Hybrid of Sliding Mode Control and Fuzzy Logic Control
Adaptive Cruise Control of a assenger Car Using Hybrid of Sliding Mode Control and Fuzzy Logic Control Somphong Thanok, Manukid arnichkun School of Engineering and Technology, Asian Institute of Technology,
More information7.1 General 5 7.2 Events resulting in pressure increase 5
GUIDE YVL 2.4 / 24 Ma r ch 2006 Primary and secondary circuit pressure control at a nuclear power plant 1 Ge n e r a l 3 2 General design requirements 3 3 Pressure regulation 4 4 Overpressure protection
More informationSoft-Computing Models for Building Applications - A Feasibility Study (EPSRC Ref: GR/L84513)
Soft-Computing Models for Building Applications - A Feasibility Study (EPSRC Ref: GR/L84513) G S Virk, D Azzi, K I Alkadhimi and B P Haynes Department of Electrical and Electronic Engineering, University
More informationFatigue Life Prediction of Complex 2D Components under Mixed-Mode Variable Loading
Fatigue Life Prediction of Complex 2D Components under Mixed-Mode Variable Loading M.A. Meggiolaro 1, A.C.O. Miranda 2, J.T.P. Castro 1, L.F. Martha*,2, T.N. Bittencourt 3 1 Department of Mechanical Engineering
More informationSOURCE REFERENCE RECORD
127- (6=8d24) #EVVA SOURCE REFERENCE RECORD Source Reference for 43-1231(NP)A-1 I COPERNIC Fuel Rod Design Computer Code Document Number/Title File No. Subject Remarks/Applicable II Licensing Document
More informationTechnology of EHIS (stamping) applied to the automotive parts production
Laboratory of Applied Mathematics and Mechanics Technology of EHIS (stamping) applied to the automotive parts production Churilova Maria, Saint-Petersburg State Polytechnical University Department of Applied
More informationSource Term Determination Methods of the Slovenian Nuclear Safety Administration Emergency Response Team
IAEA TM on Source Term Evaluation for Severe Accidents, Vienna, 21-23 October 2013 Source Term Determination Methods of the Slovenian Nuclear Safety Administration Emergency Response Team Tomaž Nemec Slovenian
More informationNuclear Energy: Nuclear Energy
Introduction Nuclear : Nuclear As we discussed in the last activity, energy is released when isotopes decay. This energy can either be in the form of electromagnetic radiation or the kinetic energy of
More informationSafety Analysis for Nuclear Power Plants
Regulatory Document Safety Analysis for Nuclear Power Plants February 2008 CNSC REGULATORY DOCUMENTS The Canadian Nuclear Safety Commission (CNSC) develops regulatory documents under the authority of paragraphs
More informationEuratom 7 th Framework Programme Collaborative Project Fast / Instant Release of Safety Relevant Radionuclides from Spent Nuclear Fuel
Euratom 7 th Framework Programme Collaborative Project Fast / Instant Release of Safety Relevant Radionuclides from Spent Nuclear Fuel EURADISS 2012, Montpellier, F, 25-26 th October 2012 Bernhard Kienzler,
More informationA MTR FUEL ELEMENT FLOW DISTRIBUTION MEASUREMENT PRELIMINARY RESULTS
A MTR FUEL ELEMENT FLOW DISTRIBUTION MEASUREMENT PRELIMINARY RESULTS W. M. Torres, P. E. Umbehaun, D. A. Andrade and J. A. B. Souza Centro de Engenharia Nuclear Instituto de Pesquisas Energéticas e Nucleares
More informationIntegration of a fin experiment into the undergraduate heat transfer laboratory
Integration of a fin experiment into the undergraduate heat transfer laboratory H. I. Abu-Mulaweh Mechanical Engineering Department, Purdue University at Fort Wayne, Fort Wayne, IN 46805, USA E-mail: mulaweh@engr.ipfw.edu
More informationUSING MODULAR NEURAL NETWORKS TO MONITOR ACCIDENT CONDITIONS IN NUCLEAR POWER PLANTS. Zhichao Guo* Robert E. Uhrig
DISCLAIMER CW - v This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees,
More informationTRANSIENT AND ACCIDENT ANALYSES FOR JUSTIFICATION OF TECHNICAL SOLUTIONS AT NUCLEAR POWER PLANTS
TRANSIENT AND ACCIDENT ANALYSES FOR JUSTIFICATION OF TECHNICAL SOLUTIONS AT NUCLEAR POWER PLANTS 1 GENERAL 3 2 EVENTS TO BE ANALYSED 3 2.1 General requirements 3 2.2 Analyses of plant behaviour 4 2.3 Analyses
More informationExperimental Heat Transfer Analysis of the IPR-R1 TRIGA Reactor
Experimental Heat Transfer Analysis of the IPR-R1 TRIGA Reactor Amir Zacarias Mesquita Nuclear Technology Development Center (CDTN), Belo Horizonte, Brazil Abstract. The 250 W IPR-R1 TRIGA Nuclear Research
More informationCyber Security Design Methodology for Nuclear Power Control & Protection Systems. By Majed Al Breiki Senior Instrumentation & Control Manager (ENEC)
Cyber Security Design Methodology for Nuclear Power Control & Protection Systems By Majed Al Breiki Senior Instrumentation & Control Manager (ENEC) 1. INTRODUCTION In today s world, cyber security is one
More informationStephanie Watson. Service Life of Electrical Cable and Condition Monitoring Methods
Service Life of Electrical Cable and Condition Monitoring Methods Stephanie Watson Polymeric Materials Group Materials and Structural Systems Division Engineering Laboratory stephanie.watson@nist.gov Outline
More informationThe Fuel Cycle R&D Program. Systems Analysis
The Fuel Cycle R&D Program Systems Analysis Bradley Williams Systems Analysis Federal Program Manager Office of Systems Engineering and Integration Office of Nuclear Energy U.S. Department of Energy July
More informationOptimized Fuzzy Control by Particle Swarm Optimization Technique for Control of CSTR
International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:5, No:, 20 Optimized Fuzzy Control by Particle Swarm Optimization Technique for Control of CSTR Saeed
More informationCOMPARISON OF STRESS BETWEEN WINKLER-BACH THEORY AND ANSYS FINITE ELEMENT METHOD FOR CRANE HOOK WITH A TRAPEZOIDAL CROSS-SECTION
COMPARISON OF STRESS BETWEEN WINKLER-BACH THEORY AND ANSYS FINITE ELEMENT METHOD FOR CRANE HOOK WITH A TRAPEZOIDAL CROSS-SECTION Yogesh Tripathi 1, U.K Joshi 2 1 Postgraduate Student, 2 Associate Professor,
More informationAnalysis of High Burnup Fuel Failures at Low Temperatures in RIA Tests Using CSED
Analsis of High Burnup Fuel Failures at Low Temperatures in RIA Tests Using CSED Wenfeng Liu, John Alvis, and Robert Montgomer ANATECH Corp. 5435 Oberlin Drive San Diego, CA 92126, USA Tel:1-858-455-635,
More informationOperating Performance: Accident Management: Severe Accident Management Programs for Nuclear Reactors REGDOC-2.3.2
Operating Performance: Accident Management: Severe Accident Management Programs for Nuclear Reactors REGDOC-2.3.2 September 2013 Accident Management: Severe Accident Regulatory Document REGDOC-2.3.2 Canadian
More informationDetermination of the Comsumption Rate in the Core of the Nigeria Research Reactor-1 (NIRR-1) Fuelled with 19.75% UO 2 Material
Journal of Nuclear and Particle Physics 2016, 6(1): 1-5 DOI: 10.5923/j.jnpp.20160601.01 Determination of the Comsumption Rate in the Core of the Nigeria Research Reactor-1 (NIRR-1) Fuelled with 19.75%
More informationGENERAL PROPERTIES //////////////////////////////////////////////////////
ALLOY 625 DATA SHEET //// Alloy 625 (UNS designation N06625) is a nickel-chromium-molybdenum alloy possessing excellent resistance to oxidation and corrosion over a broad range of corrosive conditions,
More informationProject Management Efficiency A Fuzzy Logic Approach
Project Management Efficiency A Fuzzy Logic Approach Vinay Kumar Nassa, Sri Krishan Yadav Abstract Fuzzy logic is a relatively new technique for solving engineering control problems. This technique can
More informationQualification of In-service Inspections of NPP Primary Circuit Components
Qualification of In-service Inspections of NPP Primary Circuit Components ABSTRACT Matija Vavrouš, Marko Budimir INETEC Institute for nuclear technology Dolenica 28, 10250 Zagreb, Croatia matija.vavrous@inetec.hr,
More informationExtracting Fuzzy Rules from Data for Function Approximation and Pattern Classification
Extracting Fuzzy Rules from Data for Function Approximation and Pattern Classification Chapter 9 in Fuzzy Information Engineering: A Guided Tour of Applications, ed. D. Dubois, H. Prade, and R. Yager,
More informationControl System Definition
Control System Definition A control system consist of subsytems and processes (or plants) assembled for the purpose of controlling the outputs of the process. For example, a furnace produces heat as a
More informationCONTRIBUTION TO THE IAEA SOIL-STRUCTURE INTERACTION KARISMA BENCHMARK
CONTRIBUTION TO THE IAEA SOIL-STRUCTURE INTERACTION KARISMA BENCHMARK Presented by F. Wang (CEA, France), CLUB CAST3M 2013 28/11/2013 5 DÉCEMBRE 2013 CEA 10 AVRIL 2012 PAGE 1 CONTRIBUTION TO THE IAEA SSI
More informationAnalysis of In-Vessel Retention and Ex-Vessel Fuel Coolant Interaction for AP1000
NUREG/CR 6849 ERI/NRC-04-201 Analysis of In-Vessel Retention and Ex-Vessel Fuel Coolant Interaction for AP1000 Energy Research, Inc. U.S. Nuclear Regulatory Commission Office of Nuclear Regulatory Research
More informationDEMONSTRATION ACCELERATOR DRIVEN COMPLEX FOR EFFECTIVE INCINERATION OF 99 Tc AND 129 I
DEMONSTRATION ACCELERATOR DRIVEN COMPLEX FOR EFFECTIVE INCINERATION OF 99 Tc AND 129 I A.S. Gerasimov, G.V. Kiselev, L.A. Myrtsymova State Scientific Centre of the Russian Federation Institute of Theoretical
More informationCEP Discussion: AREVA s SONGS-Specific Used Fuel Solution
CEP Discussion: AREVA s SONGS-Specific Used Fuel Solution AREVA TN October, 14, 2014 Dr. Michael V. McMahon, Sr. VP AREVA TN Americas AREVA TN AREVA s SONGS-Specific Solution Topical Outline 1. Overview
More informationPlates and Shells: Theory and Computation - 4D9 - Dr Fehmi Cirak (fc286@) Office: Inglis building mezzanine level (INO 31)
Plates and Shells: Theory and Computation - 4D9 - Dr Fehmi Cirak (fc286@) Office: Inglis building mezzanine level (INO 31) Outline -1-! This part of the module consists of seven lectures and will focus
More informationResearch and Development Program of HTGR Fuel in Japan
Research and Development Program of HTGR Fuel in Japan Kazuhiro SAWA, Shouhei UETA, Tatsuo IYOKU Masuro OGAWA, Yoshihiro KOMORI Department of Advanced Nuclear Heat Technology Department of HTTR Project
More informationDOE s Fuel Cycle Technologies Program - An Overview
DOE s Fuel Cycle Technologies Program - An Overview William Boyle Director, Used Fuel Disposition R & D (NE-53) Office of Nuclear Energy U.S. Department of Energy ECA Las Vegas, Nevada Agenda Program Mission
More informationANALYSIS OF GASKETED FLANGES WITH ORDINARY ELEMENTS USING APDL CONTROL
ANALYSIS OF GASKETED FLANGES WITH ORDINARY ELEMENTS USING AP... Page 1 of 19 ANALYSIS OF GASKETED FLANGES WITH ORDINARY ELEMENTS USING APDL CONTROL Yasumasa Shoji, Satoshi Nagata, Toyo Engineering Corporation,
More informationSTRAIN-LIFE (e -N) APPROACH
CYCLIC DEFORMATION & STRAIN-LIFE (e -N) APPROACH MONOTONIC TENSION TEST AND STRESS-STRAIN BEHAVIOR STRAIN-CONTROLLED TEST METHODS CYCLIC DEFORMATION AND STRESS-STRAIN BEHAVIOR STRAIN-BASED APPROACH TO
More informationCFD SIMULATION OF IPR-R1 TRIGA SUBCHANNELS FLUID FLOW
2013 International Nuclear Atlantic Conference - INAC 2013 Recife, PE, Brazil, November 24-29, 2013 ASSOCIAÇÃO BRASILEIRA DE ENERGIA NUCLEAR - ABEN ISBN: 978-85-99141-05-2 CFD SIMULATION OF IPR-R1 TRIGA
More informationMECHANICAL AND THERMAL ANALYSES OF THE CABLE/ STRAND STRAIN TEST FIXTURE
TD-01-001 January 6, 2000 MECHANICAL AND THERMAL ANALYSES OF THE CABLE/ STRAND STRAIN TEST FIXTURE Michela Fratini, Emanuela Barzi Abstract: A fixture to assess the superconducting performance of a reacted
More informationImproved Modelling of Material Properties for Higher Efficiency Power Plant (TP/5/MAT/6/I/H0101B)
Improved Modelling of Material Properties for Higher Efficiency Power Plant (TP/5/MAT/6/I/H0101B) A Case Study The efficiency of power stations depends on the temperature at which they operate. The higher
More informationANALYTICAL AND EXPERIMENTAL EVALUATION OF SPRING BACK EFFECTS IN A TYPICAL COLD ROLLED SHEET
International Journal of Mechanical Engineering and Technology (IJMET) Volume 7, Issue 1, Jan-Feb 2016, pp. 119-130, Article ID: IJMET_07_01_013 Available online at http://www.iaeme.com/ijmet/issues.asp?jtype=ijmet&vtype=7&itype=1
More informationFission fragments or daughters that have a substantial neutron absorption cross section and are not fissionable are called...
KNOWLEDGE: K1.01 [2.7/2.8] B558 Fission fragments or daughters that have a substantial neutron absorption cross section and are not fissionable are called... A. fissile materials. B. fission product poisons.
More information