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Abstract
Life-cycle assessment (LCA) is increasingly used to quantify the environmental impacts of construction materials. However, the relationship between the durability and LCA of these complex products with long life-cycles must be analysed in detail, namely using stochastic data from service life prediction (SLP) studies. However, SLP uncertainty is not yet considered in LCA, thus resulting in insufficiently sound decisions at the design stage. This paper presents the modelling of the uncertainty of SLP using advanced statistical methods and its application in the estimation of SL and corresponding number of replacements of claddings (renderings and stone claddings). These results are used in an interdisciplinary study of SLP and LCA to apply in the stochastic comparison of the LCA of claddings. This methodology aids in the choice of the option with better environmental performance right at the design stage, via the comparison of their standard, deterministic and stochastic LCA results.
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Notes on contributors
José Dinis Silvestre
José Dinis SILVESTRE. In an Assistant Professor at Instituto Superior Técnico, Universidade de Lisboa, Portugal. He is a member of CIB W80 and W115. His research interests include building pathology and rehabilitation and life-cycle assessment of construction materials and assemblies.
Ana Silva
Ana SILVA. She holds a Master's degree in Civil Engineering from Instituto Superior Técnico, Universidade de Lisboa, Portugal. Her research interests include service life prediction of construction elements.
Jorge de Brito
Jorge de BRITO. Is a Full Professor at Instituto Superior Técnico, Universidade de Lisboa, Portugal. He is a member of CIB W80, W86 and W115. His research interests include the performance, pathology, in situ testing, diagnosis, maintenance, rehabilitation and service life prediction of buildings and construction elements and sustainable construction.