WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10003556,
	  title     = {Advanced Numerical and Analytical Methods for Assessing Concrete Sewers and Their Remaining Service Life},
	  author    = {Amir Alani and  Mojtaba Mahmoodian and  Anna Romanova and  Asaad Faramarzi},
	  country	= {},
	  institution	= {},
	  abstract     = {Pipelines are extensively used engineering structures
which convey fluid from one place to another. Most of the time,
pipelines are placed underground and are encumbered by soil weight
and traffic loads. Corrosion of pipe material is the most common
form of pipeline deterioration and should be considered in both the
strength and serviceability analysis of pipes.
The study in this research focuses on concrete pipes in sewage
systems (concrete sewers). This research firstly investigates how to
involve the effect of corrosion as a time dependent process of
deterioration in the structural and failure analysis of this type of pipe.
Then three probabilistic time dependent reliability analysis methods
including the first passage probability theory, the gamma distributed
degradation model and the Monte Carlo simulation technique are
discussed and developed. Sensitivity analysis indexes which can be
used to identify the most important parameters that affect pipe failure
are also discussed.
The reliability analysis methods developed in this paper contribute
as rational tools for decision makers with regard to the strengthening
and rehabilitation of existing pipelines. The results can be used to
obtain a cost-effective strategy for the management of the sewer
system.},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {8},
	  number    = {7},
	  year      = {2014},
	  pages     = {845 - 851},
	  ee        = {https://publications.waset.org/pdf/10003556},
	  url   	= {https://publications.waset.org/vol/91},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 91, 2014},
	}