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[en] The Fundamental Data Unit of the Laboratoire National Henri Becquerel (LNHB) – French national standards laboratory – performs a number of full decay scheme evaluations as part of the Decay Data Evaluation Project (DDEP). Particular attention is paid to the atomic data, with both conversion- and Auger-electron data included, as well as the emitted X-rays. Evaluated data from the LNHB are part of the DDEP, whose current working membership was listed along with the means of access to these data. Recommended DDEP datasets are currently available within seven hardcopy volumes of the Monographie-5 series published by the Bureau International de Poids et Mesures (BIPM), which can also be downloaded free of charge from: https://www.bipm.org/en/publications/scientific-output/monographie-ri-5.html along with volume 8 which was assembled and issued in 2016.
[en] Five approximate models were developed for the mean intraparticle concentration during adsorption and/or diffusion with negligible external resistance (Bi→∞); all of them are more accurate that the reference model of Do and Mayfield (1987). Their simplicity makes them applicable for the design of batch and fixed-bed adsorbers. Three of the models are based on a n-order profile for the intraparticle concentration with a time-dependent exponent n. Other two new models were obtained by analysis and algebraic manipulation of the A (τ) data. Graphical visualization and numerical optimization were used to develop the models and to assess their quality. The selection of a particular model will depend of the required accuracy. The approach described in this work can be applied to more complex models, such as non-linear isotherms, multicomponent adsorption and branched pore structure. (author)
[en] The qualitative analysis of typical image quality assessment images in routine QC tests is subjective and dependent on the type of monitor and viewing conditions. In this study, an image of a phantom of spatial resolution was evaluated by 11 medical physicists of the EBSERH network to determine the variation of results between observers and to compare with a quantitative method of determination of the MTF curve from the phantom bar standards. The results show that the variation between the observers was of up to 5 groups visualized (16 to 21), resulting in values of 2.8 to 4.5 pl / mm. The quantitative method resulted in an MTF value (5%) equal to 3.6 pl / mm. The results show that a quantitative method can be useful to compare with previous results performed by other people or when it is desired to compare responses of similar equipment in different institutions. (author)
[en] Among the peer review activities accepted by nuclear power plants, there are two types: international peer review and domestic peer review. Internationally, NPPs receive OSART by the IAEA. Interiorly, NPPs receive Peer Review (PR) organized by the China Nuclear Energy Association (CNEA), etc. What similarities and differences between CNEA PR and IAEA OSART, this article carries on the comparative analysis from the CNEA PR and the IAEA OSART evaluation purpose, evaluation scope, evaluation criteria, etc., make two kinds of peer review can play its proper role. (authors)
[en] The article Numerical evaluation of test setups for determining the shear strength of masonry, written by Shenghan Zhang, Nicolas Richart and Katrin Beyer, was originally published online without Open Access.
[en] On the basis of article 64 of the Labor Code of the Azerbaijan Republic (AR) and in accordance with the Decree of the Cabinet of Ministers of the AR No. 38 of March 6, 2000 ''On approval of the rules for attestation of workplaces''for 12 years the institute has been attesting workplaces at enterprises and organizations of the Republic. The laboratory of Radiation, Industrial Sanitation and Hygiene of the Institute carried out attestation of workplaces at more than 140 enterprises in order to assess working conditions and increases the level of safety. In 2005, the institute developed a group of instructions on attestation of workplaces in the oil industry. In accordance with the developed documentation, the radiation situation was assessed at various facilities of the oil industry and the enterprises serving it.
[en] Highlights: • We describe a new paradigm for treating and exploiting simulation data, serving in the meantime as an alternative model evaluation workflow. • Instead of reporting simulations of base-case and specific variations scenarios, databases covering a wide spectrum of operational conditions are built by means of machine Learning, which is also used to assess the predictive performance of the models over a wider range of experimental conditions. • We also describe a method to assess the model fitness over a large set of operating conditions, provided that sufficient experimental data is available. This method can be used to identify the regions where a simulation model is expected to reproduce (with an acceptable margin of error) the experimental results, and the regions where it would fail. - Abstract: We introduce a new paradigm for treating and exploiting simulation data, serving in parallel as an alternative workflow for model evaluation and uncertainty quantification. Instead of reporting simulations of base-case and specific variations scenarios, databases covering a wide spectrum of operational conditions are built by means of machine-learning using sophisticated mathematical algorithms. While the approach works for all sorts of computer-aided engineering applications, the present contribution addresses the CFD/CMFD sub-branch, with application to a widely used benchmark of convective flow boiling. In addition to comparing simulation and experimental results on a case-by-case basis, machine-learning is used to create their respective (CFD and experiment) data-driven models (DDM), which will in a later stage serve for assessing the predictive performance of the CFD models over a wider range of experimental conditions, hence providing a high-level classification of their range of applicability.
[en] Highlights: • The role of scaling analysis in EMDAP and BEPU is presented. • An application of scaling analysis for design of an integral effects test facility is presented. • Possible criteria to establish important phenomena and evaluate distortions between the models and prototypes for one complex postulated accident scenario are presented. • Scaling analysis can support the evaluation model development and assessment process and help to evaluate uncertainties. • Scaling analysis can be an integral part of the evaluation model and help to identify needed code improvements. - Abstract: The role of scaling analysis in Evaluation Model Development and Assessment Process (EMDAP) and Best Estimate Plus Uncertainty (BEPU) is presented. An application of scaling analysis for design and development of an integral effects test facility is used as an example. The discussion of the possible criteria to establish important phenomena and evaluate distortions between the models and prototypes for one complex postulated accident scenario consisting of multiple events (and time sequences between them) is presented. It was concluded that scaling analysis can support the evaluation model development and assessment process and help to evaluate uncertainties by quantifying and ranking effects of various identified phenomena. Also, the scaling analysis can be an integral part of the evaluation model (which is under the development) and help to identify needed code improvements.
[en] Ways of determining Langmuir constants are evaluated to improve the accuracy of calculating the parameters of hydrate processes. An indirect approach is used in the evaluation that consists of calculating the hydrate number using the Langmuir constants and comparing it to known values. The criterion of evaluation is the minimum deviation between these values. The selection of the best way of calculating the Langmuir constants is validated.