Practical condition deterioration from historic data for asset management
Many asset management software packages require users to define their own deterioration models. The most basic model is a linear approach, more commonly users can input a quadratic equation to compute a more realistic ‘S-Curve’ model. This approach means users must make assumptions as to the likely future performance of their asset. This approach can be applied to groups of assets or hierarchies within one asset; however it does not take into account local effects. This paper describes the calculation of a deterioration model for a given condition parameter using as little as two years of historic data. Assessing deterioration from one year to the next in different parts of the network we show a full deterioration model can be generated. This provides users with a practical approach to creating models that take into account local factors such as traffic loading and material type automatically without construction records required by a slice in time approach. Models derived from real pavement condition data for rutting, ravelling, and roughness are presented together with comparisons against empirical methods currently in use in the UK.
- Record URL:
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Authors:
- Jethwa, M
- Topp, S
- Conference:
- Publication Date: 2014-10
Language
- English
Media Info
- Pagination: 10p
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Serial:
- Issue Number: 3.2
Subject/Index Terms
- TRT Terms: Administration; Asset management; Computer programs; Data analysis; Deterioration; Highways; Maintenance; Maintenance management; Pavement performance; Pavements; Software; Tests for suitability, service and quality
- Uncontrolled Terms: Road design and asset management
- Geographic Terms: United Kingdom
- ATRI Terms: Asset management; Computer program; Data analysis; Maintenance management; Pavement evaluation; Pavement performance
- Subject Areas: Highways; Maintenance and Preservation; Pavements; I10: Economics and Administration; I61: Equipment and Maintenance Methods;
Filing Info
- Accession Number: 01548040
- Record Type: Publication
- Source Agency: ARRB
- Files: ITRD, ATRI
- Created Date: Dec 17 2014 10:52AM