Methodologies for Service Life Prediction of Buildings

Beschreibung

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.
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. 
Presents a diverse set of tools to predict and manage building service life Provides recommendations for applying the different approaches Offers numerous practical applications for the construction industry Includes supplementary material: sn.pub/extras

Autor*in

Ana Silva

Themen in »Methodologies for Service Life Prediction of Buildings«

Buidling Durability Prediction Computational Models Service Life prediction of Buildings Deterministic Models Service Life Prediction of buildings Facade Claddings Building Factorial Models Service Life Prediction of buildings Identifying Patterns of Degradation Mathematical Models Service Life Prediction of buildings Service Life Facade Claddings Service Life Prediction of Buildings Statistical Tools Service Life Prediction of Buildings Statistical Tools Sustainable Construction Stochastic Models Service Life Prediction of buildings

Stimmen zu »Methodologies for Service Life Prediction of Buildings«

Details

Link teilen