Methodologies for Service Life Prediction of Buildings : With a Focus on Facade Claddings
Softcover reprint of the original 1st ed. 2016
Book Details
Format
Paperback / Softback
Book Series
Green Energy and Technology
ISBN-10
331981477X
ISBN-13
9783319814773
Edition
Softcover reprint of the original 1st ed. 2016
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 27th, 2018
Print length
432 Pages
Product Classification:
Architectural structure & designArchitectural structure and designArchitecture: professional practiceProbability & statisticsProbability and statisticsApplied mathematicsNanotechnologyCivil engineering, surveying & buildingCivil engineering, surveying and buildingComputer modelling & simulationComputer modelling and simulation
Ksh 23,400.00
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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.
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.
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