Frequency domain analysis of pipe fluid transient behaviour

Lee, Pedro; Duan, Huan‐Feng; Ghidaoui, Mohamed Salah; Karney, Bryan W.

doi:10.1080/00221686.2013.814597

Cited by 86 publications

(52 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This technique is used to image the human vocal tract system. More recently, the technique elicited considerable interest on the part of water supply researchers (Duan et al 2011(Duan et al , 2013Lee et al 2013;) and its utility was extended to other fields of application (Duan et al 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Some of this research shows that eigenfrequencies of a measured pressure signal vary with cross-sectional area of a conduit (e.g., Duan et al 2011;De Salis and Oldham 1999;Stevens 1998;Schroeter and Sondhi 1994;Fricke 1990, 1989;Milenkovic 1987Milenkovic , 1984Sondhi and Resnick 1983;Domis 1980Domis , 1979Fant 1975;Sondhi and Gopinath 1971;Heinz 1967;Mermelstein 1967;Schroeder 1967). This dependence between eigenfrequencies and conduit cross-sectional area has recently been used to formulate algorithms for defect detection in water supply systems (WSSs) (e.g., Louati and Ghidaoui 2015;Duan et al 2011Duan et al , 2013Lee et al 2008Lee et al , 2013Louati 2013;Meniconi et al 2013;Sattar et al 2008;Mohapatra et al 2006;Wang et al 2005).…”

Section: Introductionmentioning

confidence: 99%

“…The economic and hydraulic consequences of blockages in pipelines led to an emphasis in research to develop detection algorithms for blockages. Accordingly, the focus of past research is primarily on the inverse problem where mathematical relations linking eigenfrequencies to the cross-sectional area of the pipe are formulated, and algorithms for using these relationships to infer blockages from measured eigenfrequencies are proposed (e.g., Duan et al 2013Duan et al , 2011Lee et al 2013;Meniconi et al 2013). While this research direction is promising and has led to proof of concept under idealized laboratory settings, there are several unresolved issues.…”

Section: Introductionmentioning

confidence: 99%

“…For example, there is neither a proof that the inverse problem, which relates the unknown blockage properties to the measured eigenfrequencies, has a unique solution nor is there a technique to find it even if it exists. In fact, current solutions of this inverse problem in the water supply field require that the number of blockages is known a priori (e.g., Duan et al 2013;Lee et al 2013), which is unrealistic in practice. In addition, the computational time needed to solve the inverse problem grows almost exponentially with the number of blockages.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Eigenfrequency Shift Mechanism due to an Interior Blockage in a Pipe

Louati

Ghidaoui

2018

J. Hydraul. Eng.

View full text Add to dashboard Cite

The presence of blockages in water supply systems wastes energy, decreases system performance, and may pose safety concerns. Previous research showing that blockages induce a shift in the resonant frequencies (eigenfrequencies) of the pipe system made use of that shift information to develop improved inverse problem solution techniques for blockage detection. This paper studies in more detail the eigenfrequency shift mechanism itself that arises from an interior blockage in a pipe system, and shows that more information could be obtained from understanding the nature and physical basis for the shift mechanism. This improved understanding can improve the computational efficiency of current blockage detection solution techniques. This paper explains the mechanism causing positive, negative, and zero eigenfrequency shifts, and shows how these shifts vary with blockage location, size, and resonant modes. Zero shift occurs if the midlength of the blockage is located at a position where the pressure head and flow harmonics are equal in magnitude, whereas maximum (or significant) shifts occur if the midlength of the blockage is located at either a pressure node (if the shift is negative) or a stagnation point (if the shift is positive), where pressure node and stagnation points are where the pressure and flow harmonics' magnitudes are zero. It is also shown that the Bragg resonance phenomenon directly influences the direction and magnitude of the observed eigenfrequency under different resonant modes.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Eigenfrequency Shift Mechanism due to an Interior Blockage in a Pipe

Louati

Ghidaoui

2018

J. Hydraul. Eng.

View full text Add to dashboard Cite

show abstract

“…Details on this frequency domain analysis approach can be found a recent state-of-the-art paper by Lee et al (2013).…”

Section: System Frequency Response-based Extended Blockage Detectionmentioning

confidence: 99%

Transient wave-blockage interaction and extended blockage detection in elastic water pipelines

Duan

Lee

Ghidaoui

et al. 2014

Journal of Fluids and Structures

View full text Add to dashboard Cite

Abstract:Extended partial blockages are common in pressurized water pipelines and can result in the wastage of energy, the reduction in system carrying capacity and the increased potential for contamination. This paper investigates the transient wave-blockage interaction and its application to extended blockage detection in pipelines, where blockage-induced changes to the system resonant frequencies are observed. The frequency shifting is first inspected and explained in this study through wave perturbation analysis, providing a theoretical confirmation for the result that unlike discrete blockages, extended blockages cause resonant frequency shifts in the system. Furthermore, an analytical expression is derived for the relationship between the blockage properties and the resonant frequency shifts and is used to detect the blockages in this study. The obtained results are validated through both numerical applications and laboratory experiments, where the accuracy and efficiency of the developed method for extended blockage detection are tested.

show abstract

Research on spectral method of lost circulation layer located by transient pressure wave

Wang

Zhu

Lei

et al. 2023

Energy Science & Engineering

View full text Add to dashboard Cite

Leakage in the wellbore annulus during drilling operations can affect normal production operations, resulting in a severe waste of resources and economic loss, so it is crucial to adopt a fast and effective leak identification method for subsequent plugging operations. For the complex problem of judging the location of the leakage layer, we proposed the method of excitation pressure wave to identify the location of the leakage layer. By analyzing the transfer of pressure waves within the annular pipe system and the pressure head response spectrum, the leak's location is identified based on the location of the resonance point and the change in resonance amplitude. The pressure wave signal contains too much noise. The variational mode decomposition (VMD) algorithm and the Hilbert joint spectrum were used to extract the main frequency components to reconstruct the signal to achieve the denoising effect. On this basis, the reconstructed signal is processed by fast Fourier transform (FFT) to obtain the pressure wave response spectrum, analyze the frequency domain features, and then determine the location of the leakage layer. The experimental results verify that: ① When a leak occurs in the wellbore annulus, the pressure wave will generate additional resonance points in the frequency domain due to the presence of the leak point. ② The combination of the VMD algorithm, FFT, and Hilbert joint spectrum can effectively remove the noise of the pressure wave signal. ③ The method effectively avoids the difficulty of identifying negative pressure waves in the time domain analysis of pressure wave signals. It can effectively locate the leaky layer in the frequency domain analysis. It is concluded that the principle of the method is feasible and has practical significance for field application.

show abstract

Frequency domain analysis of pipe fluid transient behaviour

Cited by 86 publications

References 56 publications

Eigenfrequency Shift Mechanism due to an Interior Blockage in a Pipe

Eigenfrequency Shift Mechanism due to an Interior Blockage in a Pipe

Transient wave-blockage interaction and extended blockage detection in elastic water pipelines

Research on spectral method of lost circulation layer located by transient pressure wave

Contact Info

Product

Resources

About