Journal of Shanghai Jiaotong University (Science)

, Volume 23, Issue 1, pp 175–181 | Cite as

Numerical Investigation of Ultrasonic Guided Wave Dynamics in Piezoelectric Composite Plates for Establishing Structural Self-Sensing

  • Junzhen Wang (王军振)
  • Yanfeng Shen (申岩峰)
Article

Abstract

This article presents a numerical investigation of guided wave generation, propagation, interaction with damage, and reception in piezoelectric composite plates for the purpose of establishing structural self-awareness. This approach employs piezoelectric composite materials as both load bearing structure and sensing elements. Finite element modal analysis of a plate cell with Bloch-Floquet boundary condition (BFBC) is performed to understand the wave propagation characteristics in piezoelectric composite plates. A comparative study is carried out between a standard composite plate and a piezoelectric composite plate to highlight the influence of piezoelectricity on guided wave dispersion relations. Subsequently, a transient dynamic coupled-field finite element model is constructed to simulate the procedure of guided wave generation, propagation, interaction with damage, and reception in a piezoelectric composite plate. Active sensing array is designed to capture the structural response containing the damage information. Three engineering scenarios, including a pristine case, a one-damagelocation case and a two-damage-location case, are considered to demonstrate the ultrasonic sensing capability of the piezoelectric composite system. Finally, time-reversal method is utilized to locate and image the damage zones. This research shows that piezoelectric composite material possesses great potential to establish structural self-awareness, if it serves both as the load bearing and structural sensing components.

Key words

piezoelectric composite guided wave time-reversal method structural self-awareness 

CLC number

O 313.7 

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Copyright information

© Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Junzhen Wang (王军振)
    • 1
  • Yanfeng Shen (申岩峰)
    • 1
  1. 1.University of Michigan - Shanghai Jiao Tong University Joint InstituteShanghai Jiao Tong UniversityShanghaiChina

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