000			01552nab a2200217 4500
005			20260520001112.0
008			260224s2016 xxu ing
041			_aInglés
245	0	0	_aValidation of fire models applied to nuclear power plant safety
260			_a _b _cene. 2016
270			_a25/07/2016 ; 25/07/2016
300			_a19 p. ; 5-24
520			_aTranscripción del resúmen realizada por el autor: The paper highlights key components of a fire model validation study conducted by the U.S. Nuclear Regulatory Commission and the Electric Power Research Institute. These include the selection of fire phenomena of interest to nuclear power plant safety, the selection of appropriate models, the selection of relevant experimental data, and the selection of appropriate evaluation criteria. For each model and each quantity of interest, there are two metrics of accuracy. The first is a bias factor, which indicates the extent to which the model tends to over or under-predict the given quantity. The second is a relative standard deviation, which indicates the degree of scatter in the predicted quantity when compared with experimental measurements. While the study is motivated by nuclear power plant safety, the general procedure and results are appropriate for most industrial applications.
581			_a1
773	0		_tFire Technology _g52
942			_cARTICULO
100	1		_aMcGrattan, Kevin _955445
100	1		_aPeacock, Richard _955446
100	1		_aOverholt, Kristopher _955447
999			_c189646 _d189646