Rule Based Simulation Models for Sewer Infrastructure

Contruction Research Congress, Winds of Change: Integration and Innovation in Construction, Proceedings of the Congress

Volumn , Issue , 2003, Pages 1121-1128

  Ruwanpura, Janaka ^a   Ariaratnam, Samuel T ^b   El Assaly, Ashraf ^c  

^a UNIVERSITY OF CALGARY   (Canada)

^b ARIZONA STATE UNIVERSITY   (United States)

^c CoSyn Technology ^*  (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

NONLINEAR REGRESSION; PREDICTIVE MODELS; RULE BASED SIMULATION MODELS; SEWER INFRASTRUCTURES;

BUDGET CONTROL; COMPUTER SIMULATION; DRAINAGE; EXTRAPOLATION; KNOWLEDGE BASED SYSTEMS; MARKOV PROCESSES; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; STRATEGIC PLANNING; UNDERGROUND STRUCTURES;

SEWERS;

EID: 2342434781     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Abraham, D.M., and Wirahadikusumah, R (1999). &Development of prediction model for sewer deterioration&, Proceedings of the 8 th conference Durability of Building Materials and Components, Edited by M.A. Lacasse and D.J. Vanier, IRC, NRC, Vancouver, BC, 1257-1267.
2. Ariaratnam, S.T., El-Assaly, A. and Yang, Y. (1999). &Sewer Infrastructure assessment using logit statistical models&, Proceedings of the Annual Conference of the Canadian Society for Civil Engineering, Regina, SK, 330-338.
3. Edmonton City of (1996). Standard sewer condition rating system report, City of Edmonton Transportation Department, Canada.
4. Flourentzou, F., Brandt, E. and Wetzel, C. (1999). &MEDIC - a method for predicting residual service life and refurbishment investment budgets&, Proceedings of the 8th conference Durability of Building Materials and Components, Edited by M.A. Lacasse and D.J. Vanier, IRC, NRC, 1280-1288.
5. ISO/CD 16686-1 (1997). Buildings: Service life planning, part 1 - general principles, ISO/TC59/SC3
6. Kleiner, Y. (2001). &Optimal scheduling of rehabilitation and inspection/condition assessment in large buried pipes&, Proceedings of the 4 International Conference on Water Pipeline Systems - Managing Pipeline Assets in an Evolving Market, 181-197
7. Moser, K., (1999). Towards the practical evaluation of service life - illustrative application of the probabilistic approach, Proceedings of the 8 th conference Durability of Building Materials and Components, Edited by M.A. Lacasse and D.J. Vanier, IRC, NRC, Vancouver, 1319-1329.
8. Ruwanpura, J.Y. and AbouRizk, S.M. (2001) &Design, Development and Application of Soil Transition Algorithms for Tunneling using Special Purpose Simulation.& Proceedings off the Winter Simulation Conference, Virginia, 1512-1520
9. Ruwanpura, J.Y., and AbouRizk, S.M. and Allouche, M. &A probabilistic approach for Modeling Underground Soil Transitions for Tunnel Construction& Submitted to Journal of Construction Engineering and Management, April 2002.
10. Ruwanpura, J.Y., Ariaratnam, S. and El-Assaly, A. &Rule Based Simulation Model for Sewer Infrastructure.& (Target: Journal of Infrastructure Systems, ASCE). To be submitted in Dec. 2002.