Predicting the service life of buildings and components | Zendy

Ivan Cole | Zendy; P. Corrigan | Zendy

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Predicting the service life of buildings and components

Author(s) -

Ivan Cole,

P. Corrigan

Publication year - 2011

Publication title -

proceedings of the institution of civil engineers - construction materials

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.336

H-Index - 21

eISSN - 1747-6518

pISSN - 1747-650X

DOI - 10.1680/coma.2011.164.6.305

Subject(s) - component (thermodynamics) , computer science , process (computing) , service (business) , strengths and weaknesses , cover (algebra) , delphi , service life , data mining , data science , engineering , reliability engineering , mechanical engineering , philosophy , physics , economy , epistemology , economics , thermodynamics , operating system

The prediction of the service life of buildings and engineered structures is complex. Such predictions are usually carried out on a component-by-component basis, but must incorporate variations in component design, material type, usage and environment. Extensive databases of life prediction are required to cover the vast number of components/environments/usage combinations that exist in buildings or engineered structures. This study investigated the diverse methods used to model the life of components in structures, including data mining of maintenance and service records, expert opinion surveys (Delphi surveys), multiscale process modelling, and sensing. These methods were analysed in terms of the issues identified above and their applicability to meet the differing uses of life prediction data. Detailed case studies are presented and the strengths and weaknesses of the methods are analysed with respect to the final uses of life prediction.Full Tex

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