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- W2235728049 abstract "Frequent maintenance and repair programs are crucial to sustain the safety and operability of building facilities. Planning for repairs, however, is a time-consuming and costly task that requires frequent assessment of the condition of all building components. Among the various condition assessment methods that are currently being used, visual inspection can be considered as the most suitable approach for the majority of building components. Visual inspection, however, is highly subjective and requires experienced professionals. As such, the process is time consuming and expensive. There is a need for efficient tools to support the visual inspection process of building components so that it becomes fast, economical, and suitable for less-experienced inspectors. To support the visual inspection process, this paper first identifies the most frequently deteriorated building components and their possible deficiencies. For each of the identified components, a pictorial database is to be developed from a large number of components at different severity levels for the various deficiencies. The pictorial database will then be used to provide guidance for supporting the visual inspection of components, thus making the process faster, less costly, less subjective, and suitable for inexperienced personnel at the individual facility location. The proposed research would aid condition assessment professionals and organizations, such as municipalities and government agencies, to accurately assess the condition of their building facilities to support the repair and fund allocation decisions." @default.
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- W2235728049 date "2006-01-01" @default.
- W2235728049 modified "2023-09-26" @default.
- W2235728049 title "Pictorial Database For Building Diagnosis" @default.
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