Identification of most significant factors for modeling deterioration of sewer pipes
| Autor: | Hind El-Housni, Maxim Ouellet, Sophie Duchesne |
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| Rok vydání: | 2018 |
| Předmět: |
Identification (information)
Proportional hazards model Computer science Kruskal–Wallis one-way analysis of variance education 0208 environmental biotechnology Statistics Covariate 02 engineering and technology 020801 environmental engineering General Environmental Science Civil and Structural Engineering |
| Zdroj: | Canadian Journal of Civil Engineering. 45:215-226 |
| ISSN: | 1208-6029 0315-1468 |
| Popis: | Existing methods used to identify the important factors that can improve predicting structural deterioration of sewer pipes rarely take into account the interactions and correlations among them. Here we present a standardized method that combines use of the Cox model and likelihood ratio test, and overcomes these limitations of previously employed methods. This combined method is applied to the pipes of two Canadian sewer systems, and its results are compared to the results of two simpler methods for the identification of the factors that significantly influence sewer pipe deterioration. The three methods identified pipe age as the principal factor driving the structural deterioration of sewer pipes. However, slight differences between the methods for other potential influential factors (material, slope, and diameter) showed that accounting for the interactions and correlations among factors, as is possible with the proposed method, is crucial to identifying the factors having a significant impact on pipe deterioration. |
| Databáze: | OpenAIRE |
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