Optimum leak detection and calibration of pipe networks by inverse transient analysis

2010 ◽  
Vol 48 (3) ◽  
pp. 371-376 ◽  
Author(s):  
Hamid Shamloo ◽  
Ali Haghighi
Keyword(s):  
Transient Analysis ◽  
Leak Detection ◽  
Pipe Networks

Leak Detection in Viscoelastic Pipe by Transient Analysis

2012 ◽  
pp. 69-79 ◽  
Author(s):  
Lamjed Hadj Taïeb ◽  
Lazhar Ayed ◽  
Ezzeddine Hadj Taïeb
Keyword(s):  
Transient Analysis ◽  
Leak Detection

scholarly journals A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe

2021 ◽  
Author(s):  
Oussama Choura ◽  
Caterina Capponi ◽  
Silvia Meniconi ◽  
Sami Elaoud ◽  
Bruno Brunone
Keyword(s):  
Transient Analysis ◽  
Experimental Tests ◽  
Leak Detection ◽  
Calibration Procedure ◽  
Second Phase ◽  
Viscoelastic Parameters ◽  
The Difference ◽  
Single Pipe ◽  
The University ◽  
Nelder Mead Algorithm

Abstract In this paper the results of an experimental validation of a technique for leak detection in polymeric pipes based on the inverse transient analysis (ITA) are presented. In the proposed ITA the Nelder–Mead algorithm is used as a calibration tool. Experimental tests have been carried out in an intact and leaky high-density polyethylene (HDPE) single pipe installed at the Water Engineering Laboratory (WEL) of the University of Perugia, Italy. Transients have been generated by the fast and complete closure of a valve placed at the downstream end section of the pipe. In the first phase of the calibration procedure, the proposed algorithm has been used to estimate both the viscoelastic parameters of a generalized Kelvin–Voigt model and the unsteady-state friction coefficient, by minimizing the difference between the numerical and experimental results. In the second phase of the procedure, the calibrated model allowed the evaluation of leak size and location with an acceptable accuracy. Precisely, in terms of leak location the relative error was smaller than 5%.

Discussion and Closure: Inverse Transient Analysis in Pipe Networks

1996 ◽  
Vol 122 (5) ◽  
pp. 287-289 ◽  
Author(s):  
P. Veerabhadra Rao ◽  
K. Sridharan ◽  
James A. Liggett ◽  
Li-Chung Chen
Keyword(s):  
Transient Analysis ◽  
Pipe Networks

Graph‐Theoretical Model for Slow Transient Analysis of Pipe Networks

1989 ◽  
Vol 115 (9) ◽  
pp. 1165-1183 ◽  
Author(s):  
Masashi Shimada
Keyword(s):  
Theoretical Model ◽  
Transient Analysis ◽  
Pipe Networks

scholarly journals Leak Detection in Pipe Networks Using Hybrid ANN Method

2017 ◽  
Vol 2 (4) ◽  
pp. 145-152 ◽  
Author(s):  
Uttam Roy
Keyword(s):  
Leak Detection ◽  
Pipe Networks

A Practical Implementation of Pressure Transient Analysis in Leak Localization in Pipelines

2004 ◽  
Author(s):  
H. A. Warda ◽  
I. G. Adam ◽  
A. B. Rashad
Keyword(s):  
Numerical Model ◽  
Flow Rate ◽  
Transient Analysis ◽  
Leak Detection ◽  
Valve Closure ◽  
Pressure Transient Analysis ◽  
Pressure Transient ◽  
Pressure Transients ◽  
Pipeline Flow ◽  
Detection And Localization

In the present study, a more realistic approach for using pressure transient analysis in leak detection and localization is proposed. In a previous publication [1] by the authors, the feasibility of using pressure transients, generated by full closure of a downstream solenoid control ball valve, in leak detection and localization is investigated. The main shortcoming of using the full closure of a downstream valve is the very high pressure rise that may reach 14 times the operating pressure. Also, full valve closure yields to discontinue the whole pipeline flow. In the present paper, a controlled partial downstream or upstream valve closure is used as a mean of generating pressure transients to overcome the above drawbacks. The percentage of the valve closure is controlled to reduce the pipeline flow rate by 20–80%. Pressure transients generated by a partial valve closure are investigated experimentally and numerically. The experimental setup consists of a 60 m long and 25.4 mm internal diameter PVC pipelines connecting two tanks. Leaks are simulated at different locations along the pipeline to investigate the effect of leak positions. The pressure time history is recorded using piezoelectric pressure transducers located at five equidistance points along the pipeline connected to a Data Acquisition System. Experiments are carried out for different leak quantities ranging from 2% to 20% of the pipe flow rate. The numerical model accounts for complex pipe characteristics, such as unsteady friction and viscoelastic behavior of pipe walls. The leak is treated as a flow through an orifice of prescribed size. The numerical model is experimentally verified to insure the capability of the model in accounting for unsteady and viscoelastic complex phenomena and efficiently simulating pressure transients in the presence of a leak.

Inverse Transient Analysis in Pipe Networks

1994 ◽  
Vol 120 (8) ◽  
pp. 934-955 ◽  
Author(s):  
James A. Liggett ◽  
Li‐Chung Chen
Keyword(s):  
Transient Analysis ◽  
Pipe Networks

scholarly journals A fuzzy approach for considering uncertainty in transient analysis of pipe networks

2012 ◽  
Vol 14 (4) ◽  
pp. 1024-1035 ◽  
Author(s):  
Ali Haghighi ◽  
Alireza Keramat
Keyword(s):  
Set Theory ◽  
Fuzzy Set Theory ◽  
Transient Analysis ◽  
Wave Speed ◽  
Piping System ◽  
Simple Scheme ◽  
Pipe Networks ◽  
Annealing Method ◽  
Over Time

Uncertain parameters in the transient analysis of pipe networks lead to uncertain responses. Typical uncertainties are nodal demand, pipe friction coefficient and wave speed, which not only are imprecise in nature but also change significantly over time. Exploiting the fuzzy set theory and a simple scheme of the simulated annealing method, a conceptual model is developed. It can take into account the uncertainties of conventional transient analysis. This model helps designers of pipe systems in finding out the extent to which uncertainties in the inputs can spread to the transient highest and lowest pressures. A real piping system is analyzed herein as the case study. The results show that the transient extreme pressures can be highly affected by the uncertainties.

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