Intelligent systems for conveyance and storage infrastructure

Thomas M. Juliano; Jay N. Meegoda

doi:10.1117/12.456944

22 February 2002 Intelligent systems for conveyance and storage infrastructure

Thomas M. Juliano, Jay N. Meegoda

Proceedings Volume 4576, Advanced Environmental Sensing Technology II; (2002) https://doi.org/10.1117/12.456944
Event: Environmental and Industrial Sensing, 2001, Boston, MA, United States

Abstract

The objectives of this research project are to identify, demonstrate, and validate intelligent systems for conveyance and storage infrastructure that will enable effective, affordable, real-time, remote measurement, analysis, and reporting of their structural health. Specifically, the project involves testing and validating smart pipes, which could indicate locations of structurally weak areas, i.e., where leaks are likely to occur, and the location of existing leaks for corrective action. During the initial phase of this project an extensive literature search was conducted to identify technologies that could potentially be used in intelligent systems. Although the search was primarily focused on new emerging smart technologies, consideration was also given to innovative uses of established structural monitoring or testing technologies. Four emerging technologies that can potentially locate structurally weak areas and predict incipient leaks were identified: electrically conducting composite pipes, electrochemistry-based corrosion sensors, instrumented cathodic protection, and distributed piezoelectric sensors. Also identified was an innovative use of acoustic emission techniques to track deterioration in pre-stressed concrete pipes by monitoring energy releases from breaking corroded pre-stressing wires. A review of each of these technologies is presented. During the next phase of the program one or more of these technologies will be tested and evaluated further.

Citation Download Citation

Thomas M. Juliano and Jay N. Meegoda "Intelligent systems for conveyance and storage infrastructure", Proc. SPIE 4576, Advanced Environmental Sensing Technology II, (22 February 2002); https://doi.org/10.1117/12.456944

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