Methodologies for Service Life Prediction of Buildings

With a Focus on Façade Claddings

Ana Silva, Jorge de Brito, Pedro Lima Gaspar (Autoren)

Buch | Softcover

VII, 432 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-81477-3 (ISBN)

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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 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.

Ana Silva, a Ph.D. student, working in the area of statistical models for service life prediction of building elements throughout the last 6 years. She has authored 14 papers in international journals (ISI database) exclusively on this subject. Jorge de Brito has worked in the area of service life prediction throughout the last 16 years and has supervised the following works (either finished or on-going) specifically in this theme: 2 Ph.D. and 10 MSc. He has co-authored 20 papers in international journals (ISI database) and 12 papers in international conferences exclusively on this subject. He is also co-author of a previous book published by Springer. He is a Full Professor at IST, University of Lisbon, Portugal, and has a 30 year-plus experience in teaching concrete and construction technology related matters. Pedro Lima Gaspar is an architect and Professor at the Faculty of Architecture, University of Lisbon. He is a senior partner at his own design firm, with numerous first prizes at public architectural competitions and built work in the areas of public buildings, rehabilitation and transformation of existing buildings. He is a Ph.D. in engineering sciences in the field of service life of buildings and service life prediction methodologies and has co-authored 14 papers in international journals (ISI database) and 10 papers in international conferences exclusively on this subject. Other fields of interest include sustainability assessment of buildings, embodied energy and carbon dioxide in building materials, adaptive buildings and deconstruction. He teaches architectural design studio courses and supervises final thesis of graduate architecture students.

Introduction.- Service life and durability of assemblies.- Deterministic models.- Stochastic models.- Computational models.- Factorial models.- Comparative analysis of service life prediction methods.-Conclusion.

Erscheinungsdatum	05.03.2022
Reihe/Serie	Green Energy and Technology
Zusatzinfo	VII, 432 p. 102 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	6613 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Buidling Durability Prediction • Computational Models Service Life prediction of Bu • Computational Models Service Life prediction of Buildings • Deterministic Models Service Life Prediction of bu • Deterministic Models Service Life Prediction of buildings • Facade Claddings Building • Factorial Models Service Life Prediction of buildi • Factorial Models Service Life Prediction of buildings • Identifying Patterns of Degradation • Mathematical Models Service Life Prediction of bui • Mathematical Models Service Life Prediction of buildings • Service Life Facade Claddings • Service Life Prediction of Buildings • Statistical Tools Service Life Prediction of Build • Statistical Tools Service Life Prediction of Buildings • Statistical Tools Sustainable Construction • Stochastic Models Service Life Prediction of build • Stochastic Models Service Life Prediction of buildings
ISBN-10	3-319-81477-X / 331981477X
ISBN-13	978-3-319-81477-3 / 9783319814773
Zustand	Neuware