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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January 2018
Research-Article
Identification of Static Loading Conditions Using Piezoelectric Sensor Arrays
He Zhang,
He Zhang
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
Zhejiang University,
Hangzhou 310058, China
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Mingzhou Shen,
Mingzhou Shen
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
Zhejiang University,
Hangzhou 310058, China
Search for other works by this author on:
Yangyang Zhang,
Yangyang Zhang
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
Zhejiang University,
Hangzhou 310058, China
Search for other works by this author on:
Yisheng Chen,
Yisheng Chen
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
Zhejiang University,
Hangzhou 310058, China
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Chaofeng Lü
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
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
Search for other works by this author on:
He Zhang
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
Zhejiang University,
Hangzhou 310058, China
Mingzhou Shen
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
Zhejiang University,
Hangzhou 310058, China
Yangyang Zhang
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
Zhejiang University,
Hangzhou 310058, China
Yisheng Chen
College of Civil Engineering and Architecture,
Zhejiang University,
Hangzhou 310058, China
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
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. Jan 2018, 85(1): 011008 (7 pages)
Published Online: November 28, 2017
Article history
Received:
September 23, 2017
Revised:
November 6, 2017
Citation
Zhang, H., Shen, M., Zhang, Y., Chen, Y., and Lü, C. (November 28, 2017). "Identification of Static Loading Conditions Using Piezoelectric Sensor Arrays." ASME. J. Appl. Mech. January 2018; 85(1): 011008. https://doi.org/10.1115/1.4038426
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