Digital twin of rig for testing of centrifugal compressor for small-scale gas turbine engine

The paper considers the steps involved in building modern digital simulations, from a conceptual mathematical model to specific simulation settings, for example, meshing parameters. The paper presents a generalised approach to verification and validation of computer simulations and describes its main stages. The approach proposed is based on the assumption that the complex physical phenomena and objects to be simulated have a hierarchical structure that allows them to be split into constituent components (according to their design purpose, such as assemblies or parts, or according to the field of study, such as gas dynamics, combustion, heat transfer, etc.). Each element uses its own mathematical (or digital) model that will have undergone verification and validation. A complex computer simulation is verified and validated from the bottom up, that is, in the following order: individual parts, then assemblies, and finally the physical phenomenon or object under consideration. We consider a case study of verification and validation as pertaining to a comprehensive calculation of axial turbine parameters for a gas turbine engine. We also address issues concerning verification and certification of software used to develop digital simulations, as well as issues concerning verification and validation of digital product twins.

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Digital Simulation Verification and Validation

Salnikov

Frantsuzov

Vinogradov³

et al. 2022

PoHEI.MB

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Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols

et al. 2022

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Abstract. This study investigated the spatiotemporal variabilities in nitrogen dioxide (NO2), formaldehyde (HCHO), ozone (O3), and light-absorbing aerosols within the Greater Tokyo Area, Japan, which is the most populous metropolitan area in the world. The analysis is based on total tropospheric column, partial tropospheric column (within the boundary layer), and in situ observations retrieved from multiple platforms as well as additional information obtained from reanalysis and box model simulations. This study mainly covers the 2013–2020 period, focusing on 2020 when air quality was influenced by the coronavirus 2019 (COVID-19) pandemic. Although total and partial tropospheric NO2 columns were reduced by an average of about 10 % in 2020, reductions exceeding 40 % occurred in some areas during the pandemic state of emergency. Light-absorbing aerosol levels within the boundary layer were also reduced for most of 2020, while smaller fluctuations in HCHO and O3 were observed. The significantly enhanced degree of weekly cycling of NO2, HCHO, and light-absorbing aerosol found in urban areas during 2020 suggests that, in contrast to other countries, mobility in Japan also dropped on weekends. We conclude that, despite the lack of strict mobility restrictions in Japan, widespread adherence to recommendations designed to limit the COVID-19 spread resulted in unique air quality improvements.

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Verification and Validation of a Computer Computational Model for the Design of Building Structures

NADOLSKI

2024

Herald of Polotsk State University. Series F. Civil engineering

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A review and analysis of the verification and validation procedures of computer computational models has been performed in order to provide a conceptual framework and guidance on their implementation in relation to the design of building structures. The description of verification procedures for computer software and computer computational models is presented. The main stages of validation are formulated. The purpose of validation is to confirm the applicability, predictive ability and determination of the characteristics of the accuracy of computer models. Based on the analysis of the design value of the load-bearing capacity, a conclusion is made about the number of experiments required for validation for computer models. The study focuses on the description of verification and validation procedures for computer models of new design solutions and non-standardized model parameters. However, the recommendations given here are also suitable for more studied design solutions, while the scale of verification and validation activities may be reduced.

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Digital twin of rig for testing of centrifugal compressor for small-scale gas turbine engine

Cited by 3 publications

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Digital Simulation Verification and Validation

Digital Simulation Verification and Validation

Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols

Verification and Validation of a Computer Computational Model for the Design of Building Structures

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