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Methodologies for service lfe predic...
~
Brito, Jorge de.
Methodologies for service lfe prediction of buildingswith a focus on facade claddings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Methodologies for service lfe prediction of buildingsby Ana Silva, Jorge de Brito, Pedro Lima Gaspar.
Reminder of title:
with a focus on facade claddings /
Author:
Silva, Ana.
other author:
Brito, Jorge de.
Published:
Cham :Springer International Publishing :2016.
Description:
vii, 432 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Building materialsService life
Online resource:
http://dx.doi.org/10.1007/978-3-319-33290-1
ISBN:
9783319332901$q(electronic bk.)
Methodologies for service lfe prediction of buildingswith a focus on facade claddings /
Silva, Ana.
Methodologies for service lfe prediction of buildings
with a focus on facade claddings /[electronic resource] :by Ana Silva, Jorge de Brito, Pedro Lima Gaspar. - Cham :Springer International Publishing :2016. - vii, 432 p. :ill., digital ;24 cm. - Green energy and technology,1865-3529. - Green energy and technology..
Introduction -- Service life and durability of assemblies -- Deterministic models -- Stochastic models -- Computational models -- Factorial models -- Comparative analysis of service life prediction methods -- Conclusion.
Presenting an analysis of different approaches for predicting the service life of buildings, this monograph discusses various statistical tools and mathematical models, some of which have rarely been applied to the field. It explores methods including deterministic, factorial, stochastic and computational models and applies these to facade claddings. The models allow (i) identification of patterns of degradation, (ii) estimation of service life, (iii) analysis of loss of performance using probability functions, and (iv) estimation of service life using a probability distribution. The final chapter discusses the differences between the different methodologies and their advantages and limitations. The authors also argue that a better understanding of the service life of buildings results in more efficient building maintenance and reduced environmental costs. It not only provides an invaluable resource to students, researchers and industry professionals interested in service life prediction and sustainable construction, but is also of interest to environmental and materials scientists.
ISBN: 9783319332901$q(electronic bk.)
Standard No.: 10.1007/978-3-319-33290-1doiSubjects--Topical Terms:
744700
Building materials
--Service life
LC Class. No.: TA409.2
Dewey Class. No.: 620.112
Methodologies for service lfe prediction of buildingswith a focus on facade claddings /
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Introduction -- Service life and durability of assemblies -- Deterministic models -- Stochastic models -- Computational models -- Factorial models -- Comparative analysis of service life prediction methods -- Conclusion.
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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. It explores methods including deterministic, factorial, stochastic and computational models and applies these to facade 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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1圖書
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EB TA409.2 S586 2016
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-33290-1
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