Techno Press
Techno Press

Smart Structures and Systems
  Volume 19, Number 5, May 2017 , pages 499-512
DOI: https://doi.org/10.12989/sss.2017.19.5.499
 


Application assessments of concrete piezoelectric smart module in civil engineering
Nan Zhang and Huaizhi Su

 
Abstract
    Traditional structural dynamic analysis and Structural Health Monitoring (SHM) of large scale concrete civil structures rely on manufactured embedding transducers to obtain structural dynamic properties. However, the embedding of manufactured transducers is very expensive and low efficiency for signal acquisition. In dynamic structural analysis and SHM areas, piezoelectric transducers are more and more popular due to the advantages like quick response, low cost and adaptability to different sizes. In this paper, the applicable feasibility assessment of the designed \"artificial\" piezoelectric transducers called Concrete Piezoelectric Smart Module (CPSM) in dynamic structural analysis is performed via three major experiments. Experimental Modal Analysis (EMA) based on Ibrahim Time Domain (ITD) Method is applied to experimentally extract modal parameters. Numerical modal analysis by finite element method (FEM) modeling is also performed for comparison. First ten order modal parameters are identified by EMA using CPSMs, PCBs and FEM modeling. Comparisons are made between CPSMs and PCBs, between FEM and CPSMs extracted modal parameters. Results show that Power Spectral Density by CPSMs and PCBs are similar, CPSMs acquired signal amplitudes can be used to predict concrete compressive strength. Modal parameter (natural frequencies) identified from CPSMs acquired signal and PCBs acquired signal are different in a very small range (~3%), and extracted natural frequencies from CPSMs acquired signal and FEM results are in an allowable small range (~5%) as well. Therefore, CPSMs are applicable for signal acquisition of dynamic responses and can be used in dynamic modal analysis, structural health monitoring and related areas.
 
Key Words
    modal analysis; power spectral density; structural health monitoring; numerical analysis; ITD
 
Address
Nan Zhang: School of Civil and Construction Engineering, Oregon State University, 101 Kearney Hall, Corvallis,
OR, USA 97331
Huaizhi Su: State Key Laboratory of Hydrology-Water Resources and Hydropower Engineering, Hohai University, Nanjing 210098, China

 

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