1. Life Cycle Prediction and Maintenance of Buildings.
- Author
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de Brito, Jorge, Silva, Ana, and de Brito, Jorge
- Subjects
History of engineering & technology ,Asset Management ,Decision Support System ,Digitization ,Facility Condition Index ,Facility Management ,Gaussian mixture models ,Insurance ,KPIs ,Key Performance Indicators ,Life Cycle Assessment uncertainties ,Operations Maintenance & ,Repairs ,Swedish climate zones ,building ,building components ,building elements ,building renovation ,buildings ,changing operational environment ,climate adaptation ,climate change ,climate targets ,conservation ,construction material ,degradation ,degree of wear ,durability ,energy efficiency ,energy price ,energy supply system ,existing structures ,healthcare infrastructures ,indoor climate quality ,inspection ,insurance premium ,internal rate of return ,life cycle ,life cycle costs ,life cycle economy ,linoleum and vinyl floorings ,long-term weathered ,maintainability ,maintenance ,management ,mathematical models ,municipal building procurement ,n/a ,natural stone ,natural stone claddings ,operation ,pathology ,payback period ,performance characteristics ,preventive maintenance ,reinforced concrete ,retrofit ,risk assessment ,secondary databases ,seismic hazard ,service life ,service life prediction ,service life prediction models ,single-family house ,single-sided NMR ,statistical survey ,steel corrosion ,strength degradation ,technical condition ,thermal insulation system ,time-dependent reliability ,water repellents - Abstract
Summary: The sustainability of the built environment can only be achieved through the maintenance planning of built facilities during their lifecycle while also considering social, economic, functional, technical, and ecological aspects. Stakeholders should be conscious of the existing tools and knowledge for the optimization of maintenance and rehabilitation actions in consideration of the degradation mechanisms and the risk of failure over time. Knowledge concerning the service life prediction of building elements is crucial to the definition, in a rational and technically informed way, of a set of maintenance strategies over the building's life cycle. Service life prediction methodologies provide a better understanding of the degradation phenomenon of the analyzed elements, enabling the relation of the characteristics of these elements and their exposure, use, and maintenance conditions with their performance over time. This SI intends to provide an overview of the existing knowledge related to various aspects of "Life Cycle Prediction and Maintenance of Buildings". Relevant topics to this Special Issue include: Methodologies for service life prediction of buildings and components; Maintainability of buildings and components; Serviceability of building elements; Maintenance and repair actions of buildings and components; Definition and optimization of maintenance policies; Financial analysis of various maintenance plans; Whole life cycle costing; Life cycle assessment.