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Smart Structures and Systems Volume 17, Number 2, February 2016 , pages 167-194 DOI: https://doi.org/10.12989/sss.2016.17.2.167 |
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Synergetics based damage detection of frame structures using piezoceramic patches |
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Xiaobin Hong, Jiaobiao Ruan, Guixiong Liu, Tao Wang, Youyong Li and Gangbing Song
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| Abstract | ||
| This paper investigates the Synergetics based Damage Detection Method (SDDM) for frame structures by using surface-bonded PZT (Lead Zirconate Titanate) patches. After analyzing the mechanism of pattern recognition from Synergetics, the operating framework with cooperation-competition-update process of SDDM was proposed. First, the dynamic identification equation of structural conditions was established and the adjoint vector (AV) set of original vector (OV) set was obtained by Generalized Inverse Matrix (GIM).Then, the order parameter equation and its evolution process were deduced through the strict mathematics ratiocination. Moreover, in order to complete online structural condition update feature, the iterative update algorithm was presented. Subsequently, the pathway in which SDDM was realized through the modified Synergetic Neural Network (SNN) was introduced and its assessment indices were confirmed. Finally, the experimental platform with a two-story frame structure was set up. The performances of the proposed methodology were tested for damage identifications by loosening various screw nuts group scenarios. The experiments were conducted in different damage degrees, the disturbance environment and the noisy environment, respectively. The results show the feasibility of SDDM using piezoceramic sensors and actuators, and demonstrate a strong ability of anti-disturbance and anti-noise in frame structure applications. This proposed approach can be extended to the similar structures for damage identification. | ||
| Key Words | ||
| structural condition identification; Synergetics; lead zirconate titanate (PZT); frame structure; damage detection | ||
| Address | ||
| Xiaobin Hong: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China; Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA Jiaobiao Ruan and Gangbing Song: Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA Guixiong Liu: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China Tao Wang: Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA; College of Mechanical Engineering and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China Youyong Li: College of Mechanical Engineering and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China | ||