Acoustic Monitoring of Prestressed Concrete Cylinder Pipe: A Case History

Holley, Mark; Díaz, Robert J.; Giovanniello, Michael

doi:10.1061/40574(2001)30

Cited by 9 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to different data collection methods, the fault identification problem may be classified into the following two categories: Steady-state methods and transient analysis. Steady-state methods, such as vibration analysis, pulse-echo analysis, and acoustic reflectometry, were developed in previous studies for leak isolation [13][14][15][16], blockage detection [17][18][19][20], and deterioration determination [21][22][23]. These methods deliver a large number of results with high precision.…”

Section: Literature Reviewmentioning

confidence: 99%

An Inverse Transient-Based Optimization Approach to Fault Examination in Water Distribution Networks

Lin

Yeh

2019

Water

View full text Add to dashboard Cite

This research introduces an inverse transient-based optimization approach to automatically detect potential faults, such as leaks, partial blockages, and distributed deteriorations, within pipelines or a water distribution network (WDN). The optimization approach is named the Pipeline Examination Ordinal Symbiotic Organism Search (PEOS). A modified steady hydraulic model considering the effects of pipe aging within a system is used to determine the steady nodal heads and piping flow rates. After applying a transient excitation, the transient behaviors in the system are analyzed using the method of characteristics (MOC). A preliminary screening mechanism is adopted to sift the initial organisms (solutions) to perform better to reduce most of the unnecessary calculations caused by incorrect solutions within the PEOS framework. Further, a symbiotic organism search (SOS) imitates symbiotic relationship strategies to move organisms toward the current optimal organism and eliminate the worst ones. Two experiments on leak and blockage detection in a single pipeline that have been presented in the literature were used to verify the applicability of the proposed approach. Two hypothetical WDNs, including a small-scale and large-scale system, were considered to validate the efficiency, accuracy, and robustness of the proposed approach. The simulation results indicated that the proposed approach obtained more reliable and efficient optimal results than other algorithms did. We believe the proposed fault detection approach is a promising technique in detecting faults in field applications.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

An Inverse Transient-Based Optimization Approach to Fault Examination in Water Distribution Networks

Lin

Yeh

2019

Water

View full text Add to dashboard Cite

show abstract

“…However, this phenomenon over-pressurizes the pipes and induce stresses within them; the increase in the stresses in the wires produced the failure of some corroded prestressing wires, since a relatively small amount of corrosion can cause a wire to break [42]. When wires break the strength of the pipe is reduced, which creates distress in the concrete core and the external mortar coating delaminates.…”

Section: Probable Failure Sequencementioning

confidence: 99%

Failure Analysis of a Water Supply Pumping Pipeline System

Pozos‐Estrada

Sánchez-Huerta

Breña-Naranjo

et al. 2016

Water

View full text Add to dashboard Cite

This paper describes the most important results of a theoretical, experimental and in situ investigation developed in connection with a water supply pumping pipeline failure. This incident occurred after power failure of the pumping system that caused the burst of a prestressed concrete cylinder pipe (PCCP). Subsequently, numerous hydraulic transient simulations for different scenarios and various air pockets combinations were carried out in order to fully validate the diagnostic. As a result, it was determined that small air pocket volumes located along the pipeline profile were recognized as the direct cause of the PCCP rupture. Further, a detail survey of the pipeline was performed using a combination of non-destructive technologies in order to determine if immediate intervention was required to replace PCC pipes. In addition, a hydraulic model was employed to analyze the behavior of air pockets located at high points of the pipeline.

show abstract

“…A prestressed concrete cylinder pipe (PCCP) consists of a thin-gauge steel cylinder that is either embedded in or lined with concrete, helically wrapped with high-tensile prestressing wire, and then coated with a dense mortar [ 1 ]. Because of its large capacity, high internal pressure, high soil coverage, and affordable price, PCCP is widely used in large-diameter water supply and drainage pipe networks [ 2 , 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…Elfergani [ 17 ] investigated the early corrosion signal characteristics of prestressing wires using acoustic emission to promote the development of monitoring technology for detecting wire breakage in PCCPs. Holley et al [ 1 ] proposed and developed an acoustic fiber-optic (AFO) monitoring method to detect wire breakage, which was tested and verified by conducting experiments on a PCCP pipeline. When the prestressed steel wire breaks, energy is released, which propagates in the water in the form of sound waves [ 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

A YOLOX-Based Automatic Monitoring Approach of Broken Wires in Prestressed Concrete Cylinder Pipe Using Fiber-Optic Distributed Acoustic Sensors

Gao

Zhang

et al. 2023

Sensors

View full text Add to dashboard Cite

Wire breakage is a major factor in the failure of prestressed concrete cylinder pipes (PCCP). In the presented work, an automatic monitoring approach of broken wires in PCCP using fiber-optic distributed acoustic sensors (DAS) is investigated. The study designs a 1:1 prototype wire break monitoring experiment using a DN4000 mm PCCP buried underground in a simulated test environment. The test combines the collected wire break signals with the previously collected noise signals in the operating pipe and transforms them into a spectrogram as the wire break signal dataset. A deep learning-based target detection algorithm is developed to detect the occurrence of wire break events by extracting the spectrogram image features of wire break signals in the dataset. The results show that the recall, precision, F1 score, and false detection rate of the pruned model reach 100%, 100%, 1, and 0%, respectively; the video detection frame rate reaches 35 fps and the model size is only 732 KB. It can be seen that this method greatly simplifies the model without loss of precision, providing an effective method for the identification of PCCP wire break signals, while the lightweight model is more conducive to the embedded deployment of a PCCP wire break monitoring system.

show abstract

Acoustic Monitoring of Prestressed Concrete Cylinder Pipe: A Case History

Cited by 9 publications

References 0 publications

An Inverse Transient-Based Optimization Approach to Fault Examination in Water Distribution Networks

An Inverse Transient-Based Optimization Approach to Fault Examination in Water Distribution Networks

Failure Analysis of a Water Supply Pumping Pipeline System

A YOLOX-Based Automatic Monitoring Approach of Broken Wires in Prestressed Concrete Cylinder Pipe Using Fiber-Optic Distributed Acoustic Sensors

Contact Info

Product

Resources

About