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Autor(en): 
  • Jorge De Brito
  • Ana Silva
  • Pedro Lima Gaspar
  • Methodologies for Service Life Prediction of Buildings: With a Focus on Façade Claddings 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2016  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Building repair / Building Repair and Maintenance / Buildings—Repair and reconstruction / Computer Modelling / Computer modelling & simulation / Computer simulation / Conservation of buildings & building materials
    ISBN:  9783319332888 
    EAN-Code: 
    9783319332888 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Green Energy and Technology  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  7804 gr 
    Seiten:  432 
    Illustration:  VII, 432 p. 102 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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