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%.

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.

Leak detection in pipelines by inverse backward transient analysis

2009 ◽  
Vol 47 (3) ◽  
pp. 311-318 ◽  
Author(s):  
Hamid Shamloo ◽  
Ali Haghighi
Keyword(s):  
Transient Analysis ◽  
Leak Detection

scholarly journals Leak Detection in a Branched System by Inverse Transient Analysis with the Admittance Matrix Method

2017 ◽  
Vol 31 (13) ◽  
pp. 4075-4089 ◽  
Author(s):  
Caterina Capponi ◽  
Marco Ferrante ◽  
Aaron C. Zecchin ◽  
Jinzhe Gong
Keyword(s):  
Matrix Method ◽  
Transient Analysis ◽  
Leak Detection ◽  
Admittance Matrix

scholarly journals Leak detection by inverse transient analysis in an experimental PVC pipe system

2010 ◽  
Vol 13 (2) ◽  
pp. 153-166 ◽  
Author(s):  
Alexandre Kepler Soares ◽  
Dídia I. C. Covas ◽  
Luisa Fernanda R. Reis
Keyword(s):  
Transient Analysis ◽  
Mechanical Response ◽  
Research Work ◽  
Leak Detection ◽  
Distribution Networks ◽  
Economic Losses ◽  
Water Supply Systems ◽  
Transient Pressure ◽  
Pipe System ◽  
Hydraulic Transient

Leakage reduction in water supply systems and distribution networks has been an increasingly important issue in the water industry since leaks and ruptures result in major physical and economic losses. Hydraulic transient solvers can be used in the system operational diagnosis, namely for leak detection purposes, due to their capability to describe the dynamic behaviour of the systems and to provide substantial amounts of data. In this research work, the association of hydraulic transient analysis with an optimisation model, through inverse transient analysis (ITA), has been used for leak detection and its location in an experimental facility containing PVC pipes. Observed transient pressure data have been used for testing ITA. A key factor for the success of the leak detection technique used is the accurate calibration of the transient solver, namely adequate boundary conditions and the description of energy dissipation effects since PVC pipes are characterised by a viscoelastic mechanical response. Results have shown that leaks were located with an accuracy between 4–15% of the total length of the pipeline, depending on the discretisation of the system model.

Sign in / Sign up

Export Citation Format

Share Document