000150783 001__ 150783
000150783 005__ 20250214153851.0
000150783 0247_ $$2doi$$a10.1080/09613218.2014.943101
000150783 0248_ $$2sideral$$a92912
000150783 037__ $$aART-2015-92912
000150783 041__ $$aeng
000150783 100__ $$0(orcid)0000-0003-4278-6622$$aPerez-Bella, J.$$uUniversidad de Zaragoza
000150783 245__ $$aImprovement alternatives for determining the watertightness performance of building facades
000150783 260__ $$c2015
000150783 5060_ $$aAccess copy available to the general public$$fUnrestricted
000150783 5203_ $$aThe accurate determination of a facade''s watertightness performance is important for optimizing design. Different micro-climatic conditions can affect water penetration. The recently developed Bayesian method allows this performance to be estimated for any operating condition and location, based on the results of standardized watertightness tests. This performance-based method uses semi-empirical calculations for wind-driven rain, estimates of wind velocity based on the wind profile power law and analyses of the annual maximum climatic data. This method determines the return period of climatic conditions that each facade system can withstand. Alternative approximations are studied that may be implemented using the Bayesian method to obtain more precise or functional estimations: improved friction coefficients, peaks-over-threshold analyses or catch ratios from computational fluid dynamics (CFD), among others. The effects of these alternatives on the results of the Bayesian method were evaluated by analysing different case studies in two cities in Spain. This analysis suggests that the original formulation of the method underestimates watertightness performance and highlights the fundamental importance of wind velocity to estimate the performance of any facade accurately. This will provide greater precision for estimating facade performance and provides potential for introducing performance-based codes for watertightness.
000150783 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000150783 590__ $$a2.196$$b2015
000150783 591__ $$aCONSTRUCTION & BUILDING TECHNOLOGY$$b10 / 60 = 0.167$$c2015$$dQ1$$eT1
000150783 592__ $$a1.536$$b2015
000150783 593__ $$aCivil and Structural Engineering$$c2015$$dQ1
000150783 593__ $$aBuilding and Construction$$c2015$$dQ1
000150783 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000150783 700__ $$0(orcid)0000-0002-3776-9791$$aDominguez-Hernandez, J.$$uUniversidad de Zaragoza
000150783 700__ $$0(orcid)0000-0001-5137-2478$$aCano-Suñen, E.$$uUniversidad de Zaragoza
000150783 700__ $$0(orcid)0000-0001-6101-1537$$aDel Coz-Diaz, J. J.
000150783 700__ $$aAlvarez Rabanal, F. P.
000150783 7102_ $$15004$$2510$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cArea Ingeniería Construcción
000150783 773__ $$g43, 6 (2015), 723-736$$pBuild. res. inf.$$tBUILDING RESEARCH AND INFORMATION$$x0961-3218
000150783 8564_ $$s378424$$uhttps://zaguan.unizar.es/record/150783/files/texto_completo.pdf$$yPostprint
000150783 8564_ $$s910950$$uhttps://zaguan.unizar.es/record/150783/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000150783 909CO $$ooai:zaguan.unizar.es:150783$$particulos$$pdriver
000150783 951__ $$a2025-02-14-14:04:39
000150783 980__ $$aARTICLE