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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Methodologies for service lfe prediction of buildings/ by Ana Silva, Jorge de Brito, Pedro Lima Gaspar.
其他題名:	with a focus on facade claddings /
作者:	Silva, Ana.
其他作者:	Brito, Jorge de.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	vii, 432 p. :ill., digital ;24 cm.
內容註:	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
標題:	Building materials - Service life -
電子資源:	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

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