@article{(Open Science Index):https://publications.waset.org/pdf/10008109,
	  title     = {Deterioration Assessment Models for Water Pipelines},
	  author    = {L. Parvizsedghy and  I. Gkountis and  A. Senouci and  T. Zayed and  M. Alsharqawi and  H. El Chanati and  M. El-Abbasy and  F. Mosleh},
	  country	= {},
	  institution	= {},
	  abstract     = {The aging and deterioration of water pipelines in cities worldwide result in more frequent water main breaks, water service disruptions, and flooding damage. Therefore, there is an urgent need for undertaking proper maintenance procedures to avoid breaks and disastrous failures. However, due to budget limitations, the maintenance of water pipeline networks needs to be prioritized through efficient deterioration assessment models. Previous studies focused on the development of structural or physical deterioration assessment models, which require expensive inspection data. But, this paper aims at developing deterioration assessment models for water pipelines using statistical techniques. Several deterioration models were developed based on pipeline size, material type, and soil type using linear regression analysis. The categorical nature of some variables affecting pipeline deterioration was considered through developing several categorical models. The developed models were validated with an average validity percentage greater than 95%. Moreover, sensitivity analysis was carried out against different classifications and it displayed higher importance of age of pipes compared to other factors. The developed models will be helpful for the water municipalities and asset managers to assess the condition of their pipes and prioritize them for maintenance and inspection purposes.
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {11},
	  number    = {7},
	  year      = {2017},
	  pages     = {1013 - 1022},
	  ee        = {https://publications.waset.org/pdf/10008109},
	  url   	= {https://publications.waset.org/vol/127},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 127, 2017},