A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Information Systematisation Towards Rational Building Maintenance Decisions
The presented research highlights different ways of collecting, systematising and using data in the field of building maintenance towards rational decisions. First, the harmonisation of the information collected during building inspections is presented. Such harmonisation was developed within a global inspection system for the building envelope, including classification lists of defects, their causes, diagnosis methods and repair techniques, as well as correlation matrices between these items. Using harmonised inspection systems during fieldwork guides the procedures and makes the collected data more objective. With sound information about the degradation of building elements, their remaining service life may be estimated. Different service life prediction methods were adopted, considering their advantages to decide on the best moment to carry out maintenance activities. Computational tools of service life prediction were developed, with different options for users, according to their objectives and available information. Following these methodologies, a condition-based maintenance model was developed, using Petri nets. Different types of maintenance strategies were determined and then compared, according to the progression of degradation, service life, costs and impact on building users. Such a condition-based maintenance model allows better decisions, as more data are available, considering different factors, and not only costs, for instance.
Information Systematisation Towards Rational Building Maintenance Decisions
The presented research highlights different ways of collecting, systematising and using data in the field of building maintenance towards rational decisions. First, the harmonisation of the information collected during building inspections is presented. Such harmonisation was developed within a global inspection system for the building envelope, including classification lists of defects, their causes, diagnosis methods and repair techniques, as well as correlation matrices between these items. Using harmonised inspection systems during fieldwork guides the procedures and makes the collected data more objective. With sound information about the degradation of building elements, their remaining service life may be estimated. Different service life prediction methods were adopted, considering their advantages to decide on the best moment to carry out maintenance activities. Computational tools of service life prediction were developed, with different options for users, according to their objectives and available information. Following these methodologies, a condition-based maintenance model was developed, using Petri nets. Different types of maintenance strategies were determined and then compared, according to the progression of degradation, service life, costs and impact on building users. Such a condition-based maintenance model allows better decisions, as more data are available, considering different factors, and not only costs, for instance.
Information Systematisation Towards Rational Building Maintenance Decisions
Lecture Notes in Civil Engineering
Bienvenido-Huertas, David (editor) / Moyano-Campos, Juan (editor) / Pereira, Clara (author) / Silva, Ana (author) / Ferreira, Cláudia (author) / de Brito, Jorge (author) / Flores-Colen, Inês (author) / Silvestre, José D. (author)
2022-05-16
41 pages
Article/Chapter (Book)
Electronic Resource
English
Building inspection system , Condition-based maintenance , Maintenance strategies , Objective information , Service life prediction , Uncertainty Engineering , Building Construction and Design , Sustainable Development , Computer Applications , Sustainable Architecture/Green Buildings , Building Physics, HVAC , Building Repair and Maintenance
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