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Methodologies for service lfe predic...

Silva, Ana.

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Methodologies for service lfe prediction of buildings = with a focus on facade claddings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Methodologies for service lfe prediction of buildings/ by 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.
[NT 15003449]:	Introduction -- Service life and durability of assemblies -- Deterministic models -- Stochastic models -- Computational models -- Factorial models -- Comparative analysis of service life prediction methods -- Conclusion.
Contained By:	Springer eBooks
Subject:	Building materials - Service life -
Online resource:	http://dx.doi.org/10.1007/978-3-319-33290-1
ISBN:	9783319332901

Methodologies for service lfe prediction of buildings = with a focus on facade claddings /
Silva, Ana.

Methodologies for service lfe prediction of buildingswith 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

Standard No.: 10.1007/978-3-319-33290-1doiSubjects--Topical Terms:

2191466
Building materials
--Service life

LC Class. No.: TA409.2

Dewey Class. No.: 620.112

Methodologies for service lfe prediction of buildings = with a focus on facade claddings /
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245 1 0 $a Methodologies for service lfe prediction of buildings $h [electronic resource] : $b with a focus on facade claddings / $c by Ana Silva, Jorge de Brito, Pedro Lima Gaspar.
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300 $a vii, 432 p. : $b ill., digital ; $c 24 cm.
490 1 $a Green energy and technology, $x 1865-3529
505 0 $a Introduction -- Service life and durability of assemblies -- Deterministic models -- Stochastic models -- Computational models -- Factorial models -- Comparative analysis of service life prediction methods -- Conclusion.
520 $a 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.
650 0 $a Building materials $x Service life $x Mathematical models. $3 2191466
650 1 4 $a Engineering. $3 586835
650 2 4 $a Nanotechnology and Microengineering. $3 1005737
650 2 4 $a Building Repair and Maintenance. $3 896667
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Industrial Design. $3 890946
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
700 1 $a Brito, Jorge de. $3 2191464
700 1 $a Gaspar, Pedro Lima. $3 2191465
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