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  • Volume 5, Issue 2

Estimate of pipe deterioration and optimal scheduling of rehabilitation

E.S. Kim, C.W. Baek, J.H. Kim
Published September 2005, 5 (2) 39-46;
E.S. Kim
Dept. of Civil Engr., Sunmoon University, Asan-si, Chungnam, South Korea, 336-708 (E-mail: hydrokes@sunmoon.ac.kr)
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C.W. Baek
Dept. of Civil and Envir. Engr., Korea University, Seoul, South Korea, 136-701 (E-mail: chunoobaek@hanmail.net; jaykim@korea.ac.kr)
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J.H. Kim
Dept. of Civil and Envir. Engr., Korea University, Seoul, South Korea, 136-701 (E-mail: chunoobaek@hanmail.net; jaykim@korea.ac.kr)
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Abstract

This study proposes an optimal scheduling model for rehabilitation based on the deterioration prediction of existing pipes by using the deterioration survey method for a water distribution system. The deterioration prediction model divides the deterioration degree of each pipe into 5 degrees by using the Probabilistic Neural Networks (PNN). Furthermore, the maximum residual service time is estimated by the calculated deterioration degree for each pipe and pipe diameter. The optimal rehabilitation model by integer programming (IP), based on the shortest path, can calculate the time and cost of maintenance, rehabilitation, and replacement. Consequently, the model proposed by the study can be utilized as a quantitative method for the management of a water distribution system.

  • Optimal rehabilitation
  • probabilistic neural networks
  • maximum residual service time
  • © IWA Publishing 2005

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Water Science and Technology: Water Supply: 18 (2)
  Volume 5, Issue 2

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Estimate of pipe deterioration and optimal scheduling of rehabilitation
E.S. Kim, C.W. Baek, J.H. Kim
Water Science and Technology: Water Supply Sep 2005, 5 (2) 39-46;
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Estimate of pipe deterioration and optimal scheduling of rehabilitation
E.S. Kim, C.W. Baek, J.H. Kim
Water Science and Technology: Water Supply Sep 2005, 5 (2) 39-46;

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Keywords

Optimal rehabilitation
probabilistic neural networks
maximum residual service time
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