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978-3-319-33290-1 |
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160428s2016 sz | s |||| 0|eng d |
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|a 9783319332901
|9 978-3-319-33290-1
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|a 10.1007/978-3-319-33290-1
|2 doi
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|a TK7875
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|a TJF
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|a 621.381
|2 23
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|a Silva, Ana.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Methodologies for Service Life Prediction of Buildings
|h [electronic resource] :
|b With a Focus on Façade Claddings /
|c by Ana Silva, Jorge de Brito, Pedro Lima Gaspar.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a VII, 432 p. 102 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Green Energy and Technology,
|x 1865-3537
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|a 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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|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 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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|a Microtechnology.
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|a Microelectromechanical systems.
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|a Buildings-Repair and reconstruction.
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|a Buildings-Maintenance.
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|a Computer simulation.
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|a Mathematical models.
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|a Industrial design.
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|a Statistics .
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|a Microsystems and MEMS.
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|a Building Repair and Maintenance.
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|a Computer Modelling.
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|a Mathematical Modeling and Industrial Mathematics.
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|a Industrial Design.
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|a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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|a de Brito, Jorge.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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1 |
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|a Gaspar, Pedro Lima.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783319332888
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776 |
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|i Printed edition:
|z 9783319332895
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776 |
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|i Printed edition:
|z 9783319814773
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830 |
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|a Green Energy and Technology,
|x 1865-3537
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4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-319-33290-1
|z Texto Completo
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|a ZDB-2-ENE
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912 |
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|a ZDB-2-SXEN
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|a Energy (SpringerNature-40367)
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950 |
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|a Energy (R0) (SpringerNature-43717)
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