LEADER 04868nam 22008535 450 001 9910253989903321 005 20200705145258.0 010 $a3-319-33290-2 024 7 $a10.1007/978-3-319-33290-1 035 $a(CKB)3710000000653696 035 $a(EBL)4516714 035 $a(SSID)ssj0001666008 035 $a(PQKBManifestationID)16455312 035 $a(PQKBTitleCode)TC0001666008 035 $a(PQKBWorkID)15000135 035 $a(PQKB)11517145 035 $a(DE-He213)978-3-319-33290-1 035 $a(MiAaPQ)EBC4516714 035 $a(PPN)193444798 035 $a(EXLCZ)993710000000653696 100 $a20160428d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMethodologies for Service Life Prediction of Buildings $eWith a Focus on Façade Claddings /$fby Ana Silva, Jorge de Brito, Pedro Lima Gaspar 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (438 p.) 225 1 $aGreen Energy and Technology,$x1865-3529 300 $aDescription based upon print version of record. 311 $a3-319-33288-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Service life and durability of assemblies -- Deterministic models -- Stochastic models -- Computational models -- Factorial models -- Comparative analysis of service life prediction methods.-Conclusion. 330 $aPresenting an analysis of different approaches for predicting the service life of buildings, this monograph discusses various statistical tools and mathematical models, some of which have rarely been applied to the field. It explores methods including deterministic, factorial, stochastic and computational models and applies these to façade claddings. The models allow (i) identification of patterns of degradation, (ii) estimation of service life, (iii) analysis of loss of performance using probability functions, and (iv) estimation of service life using a probability distribution. The final chapter discusses the differences between the different methodologies and their advantages and limitations. The authors also argue that a better understanding of the service life of buildings results in more efficient building maintenance and reduced environmental costs. It not only provides an invaluable resource to students, researchers and industry professionals interested in service life prediction and sustainable construction, but is also of interest to environmental and materials scientists. 410 0$aGreen Energy and Technology,$x1865-3529 606 $aNanotechnology 606 $aBuildings$xRepair and reconstruction 606 $aBuildings?Repair and reconstruction 606 $aComputer simulation 606 $aMathematical models 606 $aIndustrial design 606 $aStatistics 606 $aNanotechnology and Microengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T18000 606 $aBuilding Repair and Maintenance$3https://scigraph.springernature.com/ontologies/product-market-codes/T23055 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 606 $aIndustrial Design$3https://scigraph.springernature.com/ontologies/product-market-codes/K19020 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 615 0$aNanotechnology. 615 0$aBuildings$xRepair and reconstruction. 615 0$aBuildings?Repair and reconstruction. 615 0$aComputer simulation. 615 0$aMathematical models. 615 0$aIndustrial design. 615 0$aStatistics. 615 14$aNanotechnology and Microengineering. 615 24$aBuilding Repair and Maintenance. 615 24$aSimulation and Modeling. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aIndustrial Design. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a624.18 700 $aSilva$b Ana$4aut$4http://id.loc.gov/vocabulary/relators/aut$0871856 702 $ade Brito$b Jorge$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGaspar$b Pedro Lima$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910253989903321 996 $aMethodologies for Service Life Prediction of Buildings$91946415 997 $aUNINA