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ASTM E944-19
Standard Guide for Application of Neutron Spectrum Adjustment Methods in Reactor Surveillance
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STANDARD published on 1.10.2019
The information about the standard:
Designation standards: ASTM E944-19
Publication date standards: 1.10.2019
SKU: NS-974083
The number of pages: 8
Approximate weight : 24 g (0.05 lbs)
Country: American technical standard
Category: Technical standards ASTM
The category - similar standards:
Annotation of standard text ASTM E944-19 :
Keywords:
dosimetry, exposure parameters, irradiation damage, least squares, neutron, reactor surveillance, spectrum adjustment,, ICS Number Code 27.120.20 (Nuclear power plants. Safety)
Additional information
| Significance and Use | ||||||||||||||||||||||||||||||||||||||||||||||||||||
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3.1 Adjustment methods provide a means for combining the results of neutron transport calculations with neutron dosimetry measurements (see Test Method E1005 and NUREG/CR-5049) in order to obtain optimal estimates for neutron damage exposure parameters with assigned uncertainties. The inclusion of measurements reduces the uncertainties for these parameter values and provides a test for the consistency between measurements and calculations and between different measurements (see 3.3.3). This does not, however, imply that the standards for measurements and calculations of the input data can be lowered; the results of any adjustment procedure can be only as reliable as are the input data. 3.2 Input Data and Definitions: 3.2.1 The symbols introduced in this section will be used throughout the guide. 3.2.2 Dosimetry measurements are given as
a set of reaction rates (or equivalent) denoted by the following
symbols: These data are, at present, obtained primarily from radiometric dosimeters, but other types of sensors may be included (see 4.1). 3.2.3 The neutron spectrum (see
Terminology E170) at the
dosimeter location, fluence or fluence rate Φ(E) as a function of neutron energy
where: 3.2.5 Uncertainty information in the form of variances and covariances must be provided for all input data. Appropriate corrections must be made if the uncertainties are due to bias producing effects (for example, effects of photo reactions). 3.3 Summary of the Procedures: 3.3.1 An adjustment algorithm modifies
the set of input data as defined in 3.2 in the following manner (adjusted
quantities are indicated by a tilde, for example, ãi): or for group fluence rates or for group-averaged cross sections The adjusted quantities must satisfy the
following conditions: or in the form of group fluence rates Since the number of equations in Eq 11 is much smaller than the number of adjustments, there exists no unique solution to the problem unless it is further restricted. The mathematical algorithms in current adjustment codes are intended to make the adjustments as small as possible relative to the uncertainties of the corresponding input data. Codes like STAY'SL, FERRET, LEPRICON, and LSL-M2 (see Table 1) are based explicitly on the statistical principles such as “Maximum Likelihood Principle” or “Bayes Theorem,” which are generalizations of the well-known least squares principle, and are taking into account variances and correlations of the input fluence, dosimetry, and cross section data (see 4.1.1, 4.2.2, and 4.3.3). A detailed discussion of the mathematical derivations can be found in NUREG/CR-2222 and EPRI NP-2188. Even the older codes, notably SAND-II and CRYSTAL BALL, apply a minimization algorithm although the statistical assumptions are not spelled out explicitly in the supporting documentation. Table 1 lists some of the available unfolding codes; however, the first four codes listed: SAND-II, SPECTRA, IUNFLD/UNFOLD, and WINDOWS have severe limitations in that they do not typically provide uncertainty characterization of the resulting unfolded spectrum and the adjusted damage exposure parameters. 3.3.1.1 An important problem in reactor
surveillance is the determination of neutron fluence inside the
pressure vessel wall at locations which are not accessible to
dosimetry. Estimates for exposure parameter values at these
locations can be obtained from adjustment codes which adjust
fluences simultaneously at more than one location when the cross
correlations between fluences at different locations are given.
LEPRICON has provisions for the estimation of cross correlations
for fluences and simultaneous adjustment. LSL-M2 also allows
simultaneous adjustment, but cross correlations must be given.
3.3.2 The adjusted data ãi, etc., are, for any specific algorithm, unique functions of the input variables. Thus, uncertainties (variances and covariances) for the adjusted parameters can, in principle, be calculated by propagation the uncertainties for the input data. Linearization may be used before calculating the uncertainties of the output data if the adjusted data are nonlinear functions of the input data. 3.3.2.1 The algorithms of the adjustment codes tend to decrease the variances of the adjusted data compared to the corresponding input values. The linear least squares adjustment codes yield estimates for the output data with minimum variances, that is, the “best” unbiased estimates. This is the primary reason for using these adjustment procedures. 3.3.3 Properly designed adjustment methods provide means to detect inconsistencies in the input data which manifest themselves through adjustments that are larger than the corresponding uncertainties or through large values of chi-square, or both. (See NUREG/CR-3318 and NUREG/CR-3319.) Any detection of inconsistencies should be documented, and output data obtained from inconsistent input should not be used. All input data should be carefully reviewed whenever inconsistencies are found, and efforts should be made to resolve the inconsistencies as stated below. 3.3.3.1 Input data should be carefully investigated for evidence of gross errors or biases if large adjustments are required. Note that the erroneous data may not be the ones that required the largest adjustment; thus, it is necessary to review all input data. Data of dubious validity may be eliminated if proper corrections cannot be determined. Any elimination of data must be documented and reasons stated which are independent of the adjustment procedure. Inconsistent data may also be omitted if they contribute little to the output under investigation. 3.3.3.2 Inconsistencies may also be caused by input variances which are too small. The assignment of uncertainties to the input data should, therefore, be reviewed to determine whether the assumed precision and bias for the experimental and calculational data may be unrealistic. If so, variances may be increased, but reasons for doing so should be documented. Note that in statistically based adjustment methods, listed in Table 1 the output uncertainties are determined only by the input uncertainties and are not affected by inconsistencies in the input data (see NUREG/CR-2222). Note also that too large adjustments may yield unreliable data because the limits of the linearization are exceeded even if these adjustments are consistent with the input uncertainties. 3.3.4 Using the adjusted fluence
spectrum, estimates of damage exposure parameter values can be
calculated. These parameters are weighted integrals over the
neutron fluence or for group fluences with given weight (response) functions 3.3.4.1 Finding best estimates of damage exposure parameters and their uncertainties is the primary objective in the use of adjustment procedures for reactor surveillance. If calculated according to Eq 12 or Eq 13, unbiased minimum variance estimates for the parameter p result, provided the adjusted fluence Φ ˜ is an unbiased minimum variance estimate. The variance of 1.1 This guide covers the analysis and interpretation of the physics dosimetry for Light Water Reactor (LWR) surveillance programs. The main purpose is the application of adjustment methods to determine best estimates of neutron damage exposure parameters and their uncertainties. 1.2 This guide is also applicable to irradiation damage studies in research reactors. 1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. 1.4 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee. |
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