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Research Papers

Identification of Static Loading Conditions Using Piezoelectric Sensor Arrays

[+] Author and Article Information
He Zhang, Mingzhou Shen, Yangyang Zhang, Yisheng Chen

College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China

Chaofeng Lü

College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China;
Key Laboratory of Soft Machines and
Smart Devices of Zhejiang Province,
Zhejiang University,
Hangzhou 310027, China;
Soft Matter Research Center,
Zhejiang University,
Hangzhou 310027, China
e-mail: lucf@zju.edu.cn

1He Zhang and Mingzhou Shen contributed equally to this work.

2Corresponding author.

Contributed by the Applied Mechanics Division of ASME for publication in the JOURNAL OF APPLIED MECHANICS. Manuscript received September 23, 2017; final manuscript received November 6, 2017; published online November 28, 2017. Editor: Yonggang Huang.

J. Appl. Mech 85(1), 011008 (Nov 28, 2017) (7 pages) Paper No: JAM-17-1531; doi: 10.1115/1.4038426 History: Received September 23, 2017; Revised November 06, 2017

To make sure the safety, durability, and serviceability of structures in-service, health monitoring systems (HMS) are widely used in management of civil infrastructures in recent years. Compared with traditional force sensors, lead zirconium titanate (PZT) sensor performs better in smart sensing in HMS with advantages of high sensitivity, self-powering and fast response to highly dynamic load. Here, we propose to utilize PZT sensor arrays to identify the position and magnitude of external loads that are applied on a simply supported beam. An identification method is proposed based on experimental tests and theoretical electromechanical analyses, which is proved effective by comparing the identified parameters with the actually applied loading conditions and signals recorded by commercial force sensors. Experimental observations also reveal that PZT sensors respond faster to loading process than commercial force sensor, which makes it qualified in identification of transient loading such as impact processing in loading history. Results also demonstrate the applicability of the method to identify multiple concentrated load and the average moving speed of the applied load. The current method may provide a useful tool for identifying load conditions on various beam structures.

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Figures

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Fig. 1

Schematic illustrations of loading condition identification experiment: (a) photograph of the experiment setup and (b) model and physical parameters of the beam, sensors and mass block in the test

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Fig. 2

Identification of load magnitude as the load position is known (xm=ls/2 ). With the voltage output by the PZT sensor that is pasted at the top (a) and bottom (b) surface of the beam, the loading histories identified by the PZT sensor (solid lines) that is pasted at the top (c) and bottom (d) surface of the beam compare very well with that recorded by the force sensor (dashed lines).

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Fig. 3

Identification of load position and load magnitude for various load cases: ((a), (d), (g)) for xm=ls/4 , ((b), (e), (h)) for xm=3ls/8 , and ((c), (f), (i)) for xm=ls/2 . With the voltage ((a)–(c)) output by the PZT sensor array, the bending moment distribution curves are determined and identical to the actual values ((d)–(f)). Using the identified load position, i.e., the kick points in ((d)–(f)), the load histories ((g)–(i)) are further determined from the bending moment for each PZT sensor and are identical to that recorded by the force sensor.

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Fig. 4

Comparisons between the identified and actual values of the load position (a) and load magnitude (b)

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Fig. 5

Identification of two (a) and three (b) concentrated loads

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Fig. 6

Identification of single concentrated load with changing applied positions. ((a) and (b)) Identified change of load positions and average moving speed, ((c) and (d)) identified load history during the change of load position.

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