Abstract
In the last decades, considerable work has been done regarding service life prediction of buildings and building components. Academics and members of the CIB W080 commission, as well as of ISO TC 59/SC14, have made several efforts in this area and created a general terminology for the concept of service life, which is extremely relevant for property management, life cycle assessment (LCA) and life cycle costs (LCC) analyses. Various definitions can be found in the literature that share common ideas. In fact, there are different criteria that trigger the end of a building’s service life, but the trap that building practitioners too often fall into and that should be avoided is dividing a problem into separate boxes, labels, and specializations without the mutual cohesion and interaction, and ignoring human behavior. Some definitions of service life are discussed in this review paper, in which the cause-effect processes underlying aging and decay are described. These descriptions highlight the continuous interrelation between different criteria for the end of a building’s service life, considering too often neglected and misunderstood causes of the end of life.
Highlights
Like humans, buildings and their components are “born”, “get older” and “die” [1]
Service life data have mostly been used in research fields that include property management [4], life cycle analysis (LCA), and life cycle cost analysis (LCC)
This review presents different perspectives regarding the concept of service life and obsolescence and the criteria that trigger the need for maintenance, repair, or replacement of a building and its components
Summary
Buildings and their components are “born”, “get older” and “die” [1]. Several studies and methodologies have been developed regarding service life prediction of buildings and components These studies have arisen from the need for reliable knowledge about the durability of building elements so that more sustainable strategies can be adopted regarding maintenance activities and the management of a building’s life cycle. LCA and LCC results are strongly dependent on assumptions regarding the service life of buildings and their components. The concepts and terminology in service life prediction present some variations, with different meanings and connotations, depending on the scope of the different studies carried out. This review presents different perspectives regarding the concept of service life and obsolescence and the criteria that trigger the need for maintenance, repair, or replacement of a building and its components.
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