Modelling the deterioration process of drainage pipelines

Urban Water Journal

Volumn 5, Issue 2, 2008, Pages 97-106

  Le Gat, Y ^a  

^a CEMAGREF   (France)

Author keywords

Drainage pipeline deterioration; Gompertz distribution; Mixed generalised linear model; Non homogeneous Markov chain

Indexed keywords

DETERIORATION; DRAINAGE; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY; WATER PIPELINES;

MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; MODELING; PIPELINE; PROBABILITY; URBAN DRAINAGE;

EID: 41149175459     PISSN: 1573062X     EISSN: 17449006     Source Type: Journal    
DOI: 10.1080/15730620801939398     Document Type: Article

References (18)

1. Baur, R., Kropp, I. and Herz, R. (2003) Rehabilitation management of urban infrastructure networks. Proceedings of the 17th European Junior Scientist Workshop TU Dresden
2. Brillet, F. (1995) Construction de lois d'évolution des chaussées par la méthode des lois de survie. Bulletin de Liaison des Laboratoires des Ponts et Chaussées, 197, pp. 43-53.
3. Curtis, A. and Molnar, G. S. (1997) A municipal infrastructure management systems model. Canadian Journal of Civil Engineering, 24, pp. 1040-1049.
4. DeStefano, P. D. and Grivas, D. A. (1998) Method for estimating transition probability in bridge deterioration models. Journal of Infrastructure Systems, 4:2, pp. 56-62.
5. DWA (1999) ATV-M 149 Zustanderfassung, -klassifizierung und -bewertung von Entwässerungssystemen außerhalb von Gebäuden, DWA, Hennef, Germany
6. Finney, D. J. (1971) Probit Analysis, Cambridge University Press, London, UK
7. Fletcher, R. (1987) Practical Methods of Optimisation, John Wiley, Chichester
8. Hörold, S. and Baur, R. (1999) Modelling sewer deterioration for selective inspection planning: Case study Dresden. Proceedings of the 13th European Junior Scientist Workshop TU Dresden, pp. 187-196.
9. Kleiner, Y., Sadiq, R. and Rajani, B. (2004) Modeling failure risk in buried pipes using fuzzy Markov deterioration process. Proceedings of the Pipeline International Conference San Diego, California, USA ASCE
10. Gat, Y. Le, Brémond, B. and Fougerat, B. (1996) Modélisation statistique du risque d'anomalies en réseau d'assainissement non visitable. Actes des 14èmes Rencontres Universitaires de Génie Civil-Comportement des Ouvrages en Service COS'96 Clermont-Ferrand, France CUST, pp. 245-252.
11. Li, N. and Xie, W. -C. (1997) Development of a new asphalt pavement performance prediction model. Canadian Journal of Civil Engineering, 24, pp. 547-559.
12. Madanat, S., Mishalani, R. and Ibrahim, W. H. W. (1995) Estimation of infrastructure transition probabilities from condition rating data. Journal of Infrastructure Systems, 1:2, pp. 120-125.
13. Mailhot, A. (2000) Modélisation de l'évolution de l'état structural des réseaux d'égout: Application à une municipalité du Québec. Canadian Journal of Civil Engineering, 27, pp. 65-72.
14. Melchers, R. E. (1999) Structural Reliability Analysis and Prediction, John Wiley, Brisbane, Australia
15. Press, W. H. (2002) Numerical Recipes in C: The Art of Scientific Computing, Cambridge University Press, New York, USA
16. Rao, C. R. (1965) Linear Statistical Inference and its Applications, John Wiley, New York, USA
17. SAS, Institute Inc. (1989) SAS/STAT User's Guide, version 6, 2, SAS Institute Inc, Cary, NC, USA
18. SAS, Institute Inc. (1999) SAS online doc., version 8, SAS Institute Inc, Cary, NC, USA