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The calibration, in the strict sense of the VIM, will generally result in a calibration certificate with a view to applying corrections to the measurement results afterwards; exploiting them will make it possible to decrease the uncertainty of the measurements taken with the equipment These uncertainties about the values of the corrections will also be used when assessing the causes of the uncertainties so as to determine the compound uncertainty that will be connected to the measurement results (see 7) The result of a verification makes it possible to assert that the measuring equipment meets, or does not meet, requirements that had been set beforehand (generally as tolerated error limits which allow the measuring equipment to be brought, or brought back, into service).

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A verification can then be made either by: comparing the results of a calibration operation with the tolerated error limits; materializing the tolerated limit indications of the measuring equipment that it is compared to directly by means of a standard This method does not require figures The result of a verification can be either: a record of verification, which means for the user that the equipment can be brought back to service; or a decision to adjust, repair, scrap or downgrade the instrument, materialized by a appropriate mark indicating the state of the measurement equipment..

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Patankar, S.V. (1980) Numerical Heat Transfer and Fluid Flow. Taylor & Francis, London. Prandtl, L. (1925) ber die ausgebildete Turbulenz. Zeitschrift f r Angewandte Mathematik und Mechanik 5 pp.136 9. Sarkar, A. & So, R.M.C. (1997) A critical evaluation of near-wall two-equation models against direct numerical simulation data. International Journal of Heat and Fluid Flow 18 pp.197 208. Schlichting, H. (1979) Boundary Layer Theory. McGraw-Hill, New York. Tennekes, H. & Lumley, J.L. (1972) A First Course in Turbulence. MIT Press, Cambridge, MA. Thomas, W.C. & Burch, D.M. (1990) Experimental validation of a mathematical model for predicting water vapour sorption at interior building surfaces. ASHRAE Transactions 96(1). Tutar, M. & Oguz, G. (2002) Large eddy simulation of wind ow around parallel buildings with varying con gurations. Fluid Dynamics Research 31(5 6) pp.289 315. Walton, G.N. (1984) Acomputer algorithm for predicting in ltration and inter-room air ows. ASHRAE Transactions 90(1B) pp.601 10. Whittle, G.E. (1987) BSRIA Technical Note TN 2/87: Numerical Air Flow Modelling. Building Services Research and Information Association, Bracknell. Xu, W. & Chen, Q. (2001a) A two-layer turbulence model for simulating indoor air ow, part I: Model development. Energy and Buildings 33 pp.613 25. Xu, W. & Chen, Q. (2001b) A two-layer turbulence model for simulating indoor air ow, part II: Applications. Energy and Buildings 33 pp.627 39. Yakhot, V. & Orszag, S.A. (1986) Renormalisation group methods in turbulence. Journal on Scienti c Computing 1(1) pp.1 51. Zhou, Y. & Stathopoulos, Y. (1997) A new technique for the numerical simulation of wind ow around buildings. Journal of Wind Engineering and Industrial Aerodynamics 72 pp.137 47.

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