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Smart Structures and Systems
  Volume 6, Number 5, July-August 2010, pages 545-559
DOI: http://dx.doi.org/10.12989/sss.2010.6.5_6.545
 


Non-invasive acceleration-based methodology for damage detection and assessment of water distribution system
Masanobu Shinozuka, Pai H. Chou, Sehwan Kim, Hong Rok Kim, Debasis Karmakar and Lu Fei

 
Abstract
    This paper presents the results of a pilot study and verification of a concept of a novel methodology for damage detection and assessment of water distribution system. The unique feature of the proposed noninvasive methodology is the use of accelerometers installed on the pipe surface, instead of pressure sensors that are traditionally installed invasively. Experimental observations show that a sharp change in pressure is always accompanied by a sharp change of pipe surface acceleration at the corresponding locations along the pipe length. Therefore, water pressure-monitoring can be transformed into acceleration-monitoring of the pipe surface. The latter is a significantly more economical alternative due to the use of less expensive sensors such as MEMS (Micro-Electro-Mechanical Systems) or other acceleration sensors. In this scenario, monitoring is made for Maximum Pipe Acceleration Gradient (MPAG) rather than Maximum Water Head Gradient (MWHG). This paper presents the results of a small-scale laboratory experiment that serves as the proof of concept of the proposed technology. The ultimate goal of this study is to improve upon the existing SCADA (Supervisory Control And Data Acquisition) by integrating the proposed non-invasive monitoring techniques to ultimately develop the next generation SCADA system for water distribution systems.
 
Key Words
    water pipe monitoring; MEMS sensors; ruptures; wireless sensor network.
 
Address
Masanobu Shinozuka; Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USA
Pai H. Chou and Sehwan Kim; Department of Electrical Engineering and Computer Science, University of California, Irvine, 92697, USA
Hong Rok Kim; Center of Embedded Software Technology, Korea
Debasis Karmakar; Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USA
Lu Fei; College of Civil Engineering, Southeast University, China
 

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