Characterising the effect of external factors on deterioration rates of bridge components using multivariate proportional hazards regression
| Autor: | Raka Goyal, Tara L. Cavalline, Matthew J. Whelan |
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| Rok vydání: | 2016 |
| Předmět: |
Multivariate statistics
Engineering business.industry Mechanical Engineering Judgement 0211 other engineering and technologies 020101 civil engineering Ocean Engineering Regression analysis 02 engineering and technology Building and Construction Geotechnical Engineering and Engineering Geology Regression Bridge (nautical) 0201 civil engineering Risk analysis (engineering) 021105 building & construction Econometrics Asset management Duration (project management) Safety Risk Reliability and Quality business Budget constraint Civil and Structural Engineering |
| Zdroj: | Structure and Infrastructure Engineering. 13:894-905 |
| ISSN: | 1744-8980 1573-2479 |
| DOI: | 10.1080/15732479.2016.1217888 |
| Popis: | Within asset management of infrastructure systems, increases in maintenance needs subject to budgetary constraints have motivated the development of tools to forecast deterioration to optimise maintenance intervention. Current bridge deterioration modelling approaches, including the evolving duration-based methods, routinely rely on a priori categorisation of bridges based on design, functional, and geographic factors to account for their effects on deterioration rates. However, such preclassification is often based on engineering judgement and may not reflect the true influence of these explanatory factors. In the current study, a proportional hazards regression-based methodology was developed to identify the most critical factors affecting deterioration using the entire unsegmented bridge database. The framework designed to perform this duration-based regression on large bridge databases is presented in this paper and results from implementation on a state inventory of over 17,000 bridges are discussed.... |
| Databáze: | OpenAIRE |
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