scholarly journals Analysis and Design of an In-Pipe System for Water Leak Detection

Author(s):  
Dimitris M. Chatzigeorgiou ◽  
Kamal Youcef-Toumi ◽  
Atia E. Khalifa ◽  
Rached Ben-Mansour

In most cases the deleterious effects associated with the occurrence of leaks may present serious problems and therefore, leaks must be quickly detected, located and repaired. The problem of leakage becomes even more serious when it is concerned with the vital supply of fresh water to the community. In addition to waste of resources, contaminants may infiltrate into the water supply. The possibility of environmental health disasters due to delay in detection of water pipeline leaks has spurred research into the development of methods for pipeline leak and contamination detection. Leaking in water networks has been a very significant problem worldwide, especially in developing countries, where water is sparse. Many different techniques have been developed to detect leaks, either from the inside or from the outside of the pipe; each one of them with their advantages, complexities but also limitations. To overcome those limitations we focus our work on the development of an in-pipe-floating sensor. The present paper discusses the design considerations of a novel autonomous system for in-pipe water leak detection. The system is carefully designed to be minimally invasive to the flow within the pipe and thus not to affect the delicate leak signal. One of its characteristics is the controllable motion inside the pipe. The system is capable of pinpointing leaks in pipes while operating in real network conditions, i.e. pressurized pipes and high water flow rates, which are major challenges.

2016 ◽  
Vol 15 (9) ◽  
pp. 2063-2074
Author(s):  
Pedro Rosas Quiterio ◽  
Florencio Sanchez Silva ◽  
Ignacio Carvajal Mariscal ◽  
Jesus Alberto Meda Campana

Author(s):  
M. Chatterjee ◽  
A. Unemori ◽  
A. Kakaria ◽  
D. Jain

Abstract This paper describes the organization and features of the AUTO-PIPE CAE System. AUTO-PIPE is a fully integrated software package which allows the User to perform the entire sequence of piping analysis and design in a streamlined work flow process. Major tasks in this automatic process includes: (1) Pipe Stress Analysis (2) Pipe Support Location Optimization (3) Stress Isometric Drawing Generation (4) Pipe Support Pattern Selection and Member Design (5) 3D Interference Detection for Support At the core of the System is the AUTO-PIPE (Relational) Database which contains all static (project-specific) and dynamic (model-specific) data required for all of the major tasks listed above. The AUTO-PIPE CAE System has been used, and is currently being used, for pipe system design for Nuclear Power Plants in Japan to achieve substantial manpower reduction and cost savings.


Author(s):  
Ricardo Martins ◽  
Alberto Azevedo ◽  
André B. Fortunato ◽  
Elsa Alves ◽  
Anabela Oliveira ◽  
...  

2019 ◽  
Vol 66 (8) ◽  
pp. 6374-6382 ◽  
Author(s):  
Jinghui Xu ◽  
Kevin Tshun-Chuan Chai ◽  
Guoqiang Wu ◽  
Beibei Han ◽  
Eva Leong-Ching Wai ◽  
...  

Author(s):  
Dimitris M. Chatzigeorgiou ◽  
Atia E. Khalifa ◽  
Kamal Youcef-Toumi ◽  
Rached Ben-Mansour

In most cases the deleterious effects associated with the occurrence of leak may present serious problems and therefore leaks must be quickly detected, located and repaired. The problem of leakage becomes even more serious when it is concerned with the vital supply of fresh water to the community. In addition to waste of resources, contaminants may infiltrate into the water supply. The possibility of environmental health disasters due to delay in detection of water pipeline leaks has spurred research into the development of methods for pipeline leak and contamination detection. Leaks in water pipes create acoustic emissions, which can be sensed to identify and localize leaks. Leak noise correlators and listening devices have been reported in the literature as successful approaches to leak detection but they have practical limitations in terms of cost, sensitivity, reliability and scalability. To overcome those limitations the development of an in-pipe traveling leak detection system is proposed. The development of such a system requires a clear understanding of acoustic signals generated from leaks and the study of the variation of those signals with different pipe loading conditions, leak sizes and surrounding media. This paper discusses those signals and evaluates the merits of an in-pipe-floating sensor.


2017 ◽  
Vol 11 (4) ◽  
pp. 396-405 ◽  
Author(s):  
Miloud Bentoumi ◽  
Djamel Chikouche ◽  
Amar Mezache ◽  
Haddi Bakhti

1968 ◽  
Vol 54 (4) ◽  
pp. 307-313 ◽  
Author(s):  
Hiromu SOGA ◽  
Katuhiro MINAMIDA ◽  
Yasuhiro SAWADA ◽  
Masatake TATEOKA ◽  
Junichi GODA

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