Test Data Provision for ERP Systems

3D Coupled Fluid-Solid Thermal Simulation of a Turbine Disc Through a Transient Cycle

Volume 4: Heat Transfer, Parts A and B ◽

10.1115/gt2012-68430 ◽

2012 ◽

Cited By ~ 1

Author(s):

Zixiang Sun ◽

John W. Chew ◽

Nicholas J. Hills ◽

Christopher J. Barnes ◽

Antonio Guijarro Valencia

Keyword(s):

Test Data ◽

Industrial Applications ◽

Cfd Modeling ◽

Test Case ◽

Time Step ◽

Element Analysis ◽

Cooling Flow ◽

Turbine Disc ◽

Data Provision ◽

Rapid Transients

Thermal analysis of a turbine disc through a transient test cycle is demonstrated using 3D computational fluid dynamics (CFD) modeling for the cooling flow and 3D finite element analysis (FEA) for the disc. The test case is a 3D angular sector of the high pressure (HP) turbine assembly of a civil jet engine and includes details of the coolant flow around the blade roots. Proprietary FEA and CFD solvers are used to simulate the metal and fluid domains, respectively. Coupling is achieved through an iterative loop with smooth exchange of information between the FEA and CFD simulations at each time step, ensuring consistency of temperature and heat flux on the coupled interfaces between the metal and fluid domains. The coupled simulation can be completed within a few weeks using a PC cluster with multiple parallel CFD executions. The FEA/CFD coupled result agrees well with corresponding rig test data and the baseline 3D and 2D FEA solutions, which have been calibrated using test data. Provision of upstream boundary conditions and modeling of rapid transients are identified as areas of uncertainty. Averaging of CFD solutions and relaxation is used to overcome difficulties caused by CFD oscillations associated with flow unsteadiness. The present work supports the continued use and development of the FEA/CFD coupling method for industrial applications.

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Test Validation Without Measurement

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000253 ◽

2016 ◽

Vol 32 (3) ◽

pp. 204-214 ◽

Cited By ~ 2

Author(s):

Emilie Lacot ◽

Mohammad H. Afzali ◽

Stéphane Vautier

Keyword(s):

Test Data ◽

Test Scores ◽

Scientific Explanation ◽

Test Validation ◽

Clinical Tests ◽

Ethical Perspective ◽

Power Of Test ◽

Memory Accuracy ◽

Social Uses ◽

Special Case

Abstract. Test validation based on usual statistical analyses is paradoxical, as, from a falsificationist perspective, they do not test that test data are ordinal measurements, and, from the ethical perspective, they do not justify the use of test scores. This paper (i) proposes some basic definitions, where measurement is a special case of scientific explanation; starting from the examples of memory accuracy and suicidality as scored by two widely used clinical tests/questionnaires. Moreover, it shows (ii) how to elicit the logic of the observable test events underlying the test scores, and (iii) how the measurability of the target theoretical quantities – memory accuracy and suicidality – can and should be tested at the respondent scale as opposed to the scale of aggregates of respondents. (iv) Criterion-related validity is revisited to stress that invoking the explanative power of test data should draw attention on counterexamples instead of statistical summarization. (v) Finally, it is argued that the justification of the use of test scores in specific settings should be part of the test validation task, because, as tests specialists, psychologists are responsible for proposing their tests for social uses.

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