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Health monitoring of tendons and sta...

Rizzo, Piervincenzo.

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Health monitoring of tendons and stay cables for civil structures.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Health monitoring of tendons and stay cables for civil structures./
作者:	Rizzo, Piervincenzo.
面頁冊數:	165 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0906.
Contained By:	Dissertation Abstracts International65-02B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3123668
ISBN:	049670979X

Health monitoring of tendons and stay cables for civil structures.
Rizzo, Piervincenzo.

Health monitoring of tendons and stay cables for civil structures. - 165 p.

Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0906.

Thesis (Ph.D.)--University of California, San Diego, 2004.

This doctoral dissertation is aimed at contributing to the development of a strategy for the structural health monitoring (SHM) of tendons and stay cables widely used in civil structures. Particular attention is dedicated to the seven-wire steel strands. A complete SHM should be able to measure applied stress and to detect potential defects.

ISBN: 049670979XSubjects--Topical Terms:

783781
Engineering, Civil.

Health monitoring of tendons and stay cables for civil structures.
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245 1 0 $a Health monitoring of tendons and stay cables for civil structures.
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500 $a Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0906.
500 $a Chair: Francesco Lanza di Scalea.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2004.
520 $a This doctoral dissertation is aimed at contributing to the development of a strategy for the structural health monitoring (SHM) of tendons and stay cables widely used in civil structures. Particular attention is dedicated to the seven-wire steel strands. A complete SHM should be able to measure applied stress and to detect potential defects.
520 $a The strategy proposed is based on ultrasonic stress waves and results in two separate subsystems. The first (active) subsystem involves the use of magnetostrictive sensors (MsS) for the generation and detection of ultrasonic stress waves. The second (passive) subsystem exploits Acoustic Emission (AE) principles for the monitoring and location of damage onset and progression.
520 $a Laser ultrasonics tests are carried out to characterize wave propagation in free and embedded strands. Those frequencies with lower attenuation are identified as suitable frequencies for in-service inspection.
520 $a Wavelet Transforms are used for signal processing. The Continuous Wavelet Transform provides an excellent tool for the joint time-frequency analysis of non-stationary signals. The Discrete Wavelet Transform is exploited to enhance the signal-to-noise ratio, to increase the inspection speed and to use low power equipment.
520 $a A new use of MsS for the active inspection of prestressed concrete structures is proposed. Sensors mounted on strands are embedded in cement grout. The capability of this configuration to detect the presence of defects is explored.
520 $a Acoustoelasticity is exploited for stress measurement in free strands. An analytical model that considers guided wave propagation in loaded cylinders is proposed. Experimentally, it is demonstrated that guided waves can measure the applied stress. The effect of elongation is also considered to enhance the sensitivity of the stress measurements.
520 $a In the passive subsystem, Acoustic Emission testing is used to characterize the acoustic response of Carbon-Fiber-Reinforced-Polymer strands, parallel wires and steel strands subjected to fatigue cycles and quasi-static loading to failure.
520 $a The work presented in this dissertation suggests that the guided wave method is a suitable tool for strand inspection of ungrouted structures. The inspection of grouted structures presents more challenges. The recommendations given in this dissertation will be useful for the development of a "smart" sensor system for new prestressed structures.
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790 1 0 $a di Scalea, Francesco Lanza, $e advisor
790 $a 0033
791 $a Ph.D.
792 $a 2004
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