The increasing failure rate in deteriorating pipe and unplanned failures will increase economical loss and social impact. One of the important tasks in the asset management framework is to estimate the pipe stress of a certain pipe section subjected to operational loads and corrosion. These factors may, however, be considered uncertain not only at a given point of time, but also have substantial time variance. The probability of structural failure of pipes can be estimated using Monte Carlo type simulation conjunction with pipe stress analysis models. This paper assess the pipe performance using different pipe stress prediction models and 3-D finite element analysis. Further, the effect of corrosion was modelled and incorporated with stress...
The increasing rate of deterioration of buried pipelines has necessitated the development of a robus...
Destructive effects of pipeline structural failure on the worldwide social, environmental and financ...
Determination of the depth of the corrosion pit is essential to predict the serviceability of corros...
Cast iron was the dominant material for buried pipes for water networks prior to the 1970s in Austra...
Corrosion of cast iron pipes in distribution systems can lead to the development of corrosion pits t...
Longitudinal fracture is one predominant observed failure mode in large diameter cast iron pipes ins...
A physical probabilistic failure model for buried cast iron pipes is described, which is based on th...
A significant proportion of current water networks are composed of cast iron pipes. The occurrence o...
Corrosion has been known as the main reason causing material and structural deterioration. Although ...
Cast iron pipes were widely used in water distribution networks before the 1960s and the majority of...
© 2020 Reliable prediction of the service-life of water pipes is of great importance for asset manag...
It is essential to predict the lifetime of buried pipelines since they are not easily accessible for...
Accurate prediction of structural response of buried metal pipes relies upon the surrounding soil co...
Underground pipes are essential infrastructure for the transport of water, oil and gas. The presence...
This paper proposes a method using probabilistic risk analysis for application to corrosion associat...
The increasing rate of deterioration of buried pipelines has necessitated the development of a robus...
Destructive effects of pipeline structural failure on the worldwide social, environmental and financ...
Determination of the depth of the corrosion pit is essential to predict the serviceability of corros...
Cast iron was the dominant material for buried pipes for water networks prior to the 1970s in Austra...
Corrosion of cast iron pipes in distribution systems can lead to the development of corrosion pits t...
Longitudinal fracture is one predominant observed failure mode in large diameter cast iron pipes ins...
A physical probabilistic failure model for buried cast iron pipes is described, which is based on th...
A significant proportion of current water networks are composed of cast iron pipes. The occurrence o...
Corrosion has been known as the main reason causing material and structural deterioration. Although ...
Cast iron pipes were widely used in water distribution networks before the 1960s and the majority of...
© 2020 Reliable prediction of the service-life of water pipes is of great importance for asset manag...
It is essential to predict the lifetime of buried pipelines since they are not easily accessible for...
Accurate prediction of structural response of buried metal pipes relies upon the surrounding soil co...
Underground pipes are essential infrastructure for the transport of water, oil and gas. The presence...
This paper proposes a method using probabilistic risk analysis for application to corrosion associat...
The increasing rate of deterioration of buried pipelines has necessitated the development of a robus...
Destructive effects of pipeline structural failure on the worldwide social, environmental and financ...
Determination of the depth of the corrosion pit is essential to predict the serviceability of corros...