scholarly journals Water Distribution Network Reliability Estimation Using the First-Order Reliability Method

2001 ◽  
Author(s):  
Bryan A. Tolson ◽  
Holger R. Maier ◽  
Angus R. Simpson
Keyword(s):  
Water Distribution ◽  
Network Reliability ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Reliability Estimation ◽  
First Order Reliability Method ◽  
First Order ◽  
Reliability Method

Reliability Estimation of Buried Pipeline Using FORM, SORM and Monte Carlo Simulation

2006 ◽  
Vol 326-328 ◽  
pp. 597-600 ◽  
Author(s):  
Ouk Sub Lee ◽  
Dong Hyeok Kim
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Exposure Time ◽  
Failure Probability ◽  
Reliability Estimation ◽  
Buried Pipeline ◽  
First Order Reliability Method ◽  
First Order ◽  
Reliability Method ◽  
The Difference

In this paper, the failure probability is estimated by using the FORM (first order reliability method), the SORM (second order reliability method) and the Monte Carlo simulation to evaluate the reliability of the corroded pipeline. It is found that the FORM technique is more effective in estimating the failure probability than the SORM technique for B31G and MB31G models with three different corrosion models. Furthermore, it is noted that the difference between the results of the FORM, the SORM and the Monte Carlo simulation decreases with the increase of the exposure time.

scholarly journals Residual Chlorine Decay in Juja Water Distribution Network using EPANET Model

2019 ◽  
Vol 9 (1) ◽  
pp. 332-334 ◽  
Keyword(s):  
Water Distribution ◽  
Distribution Network ◽  
Treatment Plant ◽  
Water Distribution Network ◽  
Residual Chlorine ◽  
Simulation Tool ◽  
First Order ◽  
Water Company ◽  
Field Samples ◽  
Chlorine Decay

The current study was carried out to analyze the residual chlorine decay analysis within the existing Juja water distribution network. The study used EPANET as a simulation tool. From the field samples, the first-order bulk decay coefficient Kb was found equal to - 0.04 . The wall coefficient Kw was assumed to - 4.0 mg/ /day as guided by literature. The analysis shows that the entire supply area of the existing distribution network faces higher residual chlorine concentration (0.70 to 0.8 mg/l) from 9 am. The study recommended the reducing of the initial chlorine added at the treatment plant and the optimization of the network, which will provide a proper residual chlorine dosage to reduce Juja consumers exposure to health risk and also to be economically reasonable for the water company in charge

Water Distribution Network Reliability: Stochastic Simulation

1996 ◽  
Vol 2 (2) ◽  
pp. 65-72 ◽  
Author(s):  
Shu-li Yang ◽  
Nien-Sheng Hsu ◽  
Peter W. F. Louie ◽  
William W-G. Yeh
Keyword(s):  
Stochastic Simulation ◽  
Water Distribution ◽  
Network Reliability ◽  
Distribution Network ◽  
Water Distribution Network

A cooperative game approach to uncertain decentralized logistic systems subject to network reliability considerations

Kybernetes ◽  
2017 ◽  
Vol 46 (8) ◽  
pp. 1452-1468 ◽  
Author(s):  
Hadi Heidari Gharehbolagh ◽  
Ashkan Hafezalkotob ◽  
Ahmad Makui ◽  
Sadigh Raissi
Keyword(s):  
Cooperative Game ◽  
Water Distribution ◽  
Network Reliability ◽  
Linear Optimization ◽  
Maximum Flow ◽  
Reliability Estimation ◽  
Model Parameters ◽  
Network Efficiency ◽  
Content Type ◽  
Reliability Method

Purpose Maximum-flow of an uncertain multi-owner network has become very important recently. This study aims to evaluate the maximum flow on a cooperated logistic system in the presence of uncertainties, raised by travel time, capacity, cost and failures. Design/methodology/approach To consider different uncertainties and to promote network efficiency, the proposed model is enriched with a cooperative game methodology and a reliability method. A scenario-based method covers optimistic, pessimistic and most likely estimates time, cost and capacity of each route as well as applies a prior failure pattern for breakdown of any resource. Findings A linear optimization model, which is enriched with target reliability estimation, is presented. Results on a water distribution network indicate more revenue performance for players. Carrying out sensitivity analysis shows the importance of the model parameters. Originality/value Modeling maximum-flow problem in the presence of many sources of uncertainty with the aim of a cooperative game is the main contribution of the present study. Also, a novel method based on the reliability theory is applied to close the chasm on evaluating the real maximum flow in a shared decentralized network which suffers from risky conditions on arcs and nodes.

Water Distribution Network Reliability: Connectivity Analysis

1996 ◽  
Vol 2 (2) ◽  
pp. 54-64 ◽  
Author(s):  
Shu-li Yang ◽  
Nien-Sheng Hsu ◽  
Peter W. F. Louie ◽  
William W-G. Yeh
Keyword(s):  
Water Distribution ◽  
Network Reliability ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Connectivity Analysis
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