04868nam 22008535 450 991025398990332120200705145258.03-319-33290-210.1007/978-3-319-33290-1(CKB)3710000000653696(EBL)4516714(SSID)ssj0001666008(PQKBManifestationID)16455312(PQKBTitleCode)TC0001666008(PQKBWorkID)15000135(PQKB)11517145(DE-He213)978-3-319-33290-1(MiAaPQ)EBC4516714(PPN)193444798(EXLCZ)99371000000065369620160428d2016 u| 0engur|n|---|||||txtccrMethodologies for Service Life Prediction of Buildings With a Focus on Façade Claddings /by Ana Silva, Jorge de Brito, Pedro Lima Gaspar1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (438 p.)Green Energy and Technology,1865-3529Description based upon print version of record.3-319-33288-0 Includes bibliographical references at the end of each chapters.Introduction -- Service life and durability of assemblies -- Deterministic models -- Stochastic models -- Computational models -- Factorial models -- Comparative analysis of service life prediction methods.-Conclusion.Presenting an analysis of different approaches for predicting the service life of buildings, this monograph discusses various statistical tools and mathematical models, some of which have rarely been applied to the field. It explores methods including deterministic, factorial, stochastic and computational models and applies these to façade claddings. The models allow (i) identification of patterns of degradation, (ii) estimation of service life, (iii) analysis of loss of performance using probability functions, and (iv) estimation of service life using a probability distribution. The final chapter discusses the differences between the different methodologies and their advantages and limitations. The authors also argue that a better understanding of the service life of buildings results in more efficient building maintenance and reduced environmental costs. It not only provides an invaluable resource to students, researchers and industry professionals interested in service life prediction and sustainable construction, but is also of interest to environmental and materials scientists.Green Energy and Technology,1865-3529NanotechnologyBuildingsRepair and reconstructionBuildings—Repair and reconstructionComputer simulationMathematical modelsIndustrial designStatisticsNanotechnology and Microengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T18000Building Repair and Maintenancehttps://scigraph.springernature.com/ontologies/product-market-codes/T23055Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Industrial Designhttps://scigraph.springernature.com/ontologies/product-market-codes/K19020Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Nanotechnology.BuildingsRepair and reconstruction.Buildings—Repair and reconstruction.Computer simulation.Mathematical models.Industrial design.Statistics.Nanotechnology and Microengineering.Building Repair and Maintenance.Simulation and Modeling.Mathematical Modeling and Industrial Mathematics.Industrial Design.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.624.18Silva Anaauthttp://id.loc.gov/vocabulary/relators/aut871856de Brito Jorgeauthttp://id.loc.gov/vocabulary/relators/autGaspar Pedro Limaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910253989903321Methodologies for Service Life Prediction of Buildings1946415UNINA