Statistical algorithm for damage detection of concrete beams based on piezoelectric smart aggregate

Abstract

The functional piezoelectric ceramic smart aggregate (SA) sensors and actuators, based on piezoelectric ceramic materials such as lead zirconium titanate (PZT), were embedded into the reinforced concrete beams with three-point bending under static loading for purposes of damage detection. The SA actuators generated the desired sine sweep excitation signals online and the SA sensors received and detected real-time signals before and after damage. The wavelet analysis and statistical characteristics about damage signals were used as a signal processing and analysis tool to extract the optimal damage information and establish a statistical damage detection algorithm. The damage index-based wavelet analysis and damage probability-based probability and statistics were proposed by PZT wave-based theory and active health monitoring technology. The results showed that the existence of cracks inside largely attenuated the amplitude of active monitoring signal after the damage of beam and the attenuation was related to the severity degree of damage. The innovative statistical algorithm of damage pattern detection based PZT-SA can effectively determine damage probability and damage degree, and provide a prediction for the critical damage location of reinforced concrete structures. The developed method can be utilized for the structural health comprehensive monitoring and damage detection on line of various large-scale concrete structures.

Keywords

piezoelectric ceramic smart aggregate / active health monitoring / damage detection / statistical analysis

References

[1] Tseng K. K.-H., Naidu A. S. K. Non-parametric damage detection and characterization using smart piezoelectric material [J]. Smart Materials and Structures, 2002, 11(3): 317-329.

[2] Song G., Gu H., Mo Y. L. Smart aggregates: Multi-functional sensors for concrete structures—A tutorial and a review [J]. Smart Materials and Structures, 2008, 17(3): 1-17.

[3] Gu H, Mo Y L, Song G. Recent progress in smart aggregate-based structural health monitoring of civil structures[C]. In: Engineering, Science, Construction, and Operation in Challenging Environments. Hawaii, 2010. 2462–2476.

[4] Yang X., Li Zhongxian. Research on Performance Monitoring System and Damage Identification Method for Civil Engineering Structures[D]. 2006, Tianjin: School of Civil Engineering, Tianjin University.

[5] Song G., Gu H., Mo Y. L., et al. Concrete structural health monitoring using embedded piezoceramic transducer[J]. Smart Materials and Structures, 2007, 16(4): 959-968.

[6] Yan S., Wei S., Song G., et al. Health monitoring of reinforced concrete shear walls using smart aggregates[J]. Smart Materials and Structures, 2009, 18(4): 1-16.

[7] Feng X., Li G., Zhou Jing. State-of-the-art of statistical identification for structural health diagnosis in civil engineering[J]. Earthquake Engineering and Engineering Vibration, 2005, 25(4): 16-22.

[8] Sohn H., Czarnecki J. A., Farrar C. R. Structural health monitoring using statistical process control[J]. Journal of Structural Engineering, ASCE, 2000, 126(11): 1356-1363.

[9] Erdogan A., Mahmoud M., David S. Damage pattern recognition for structural health monitoring using fuzzy similarity prescription[J]. Computer-Aided Civil and Infrastructure Engineering, 2006, 21(8): 549-560.

[10] Sohn H., Law H. W. Bayesian probabilistic damage detection of a reinforced concrete bridge column[J]. Earthquake Engineering & Structure Dynamics, 2000, 29, 1131-1152.

[11] Zhao X., Li Hongnan. Structural Health Monitoring and Damage Detection Based on Piezoelectric Ceramic Transducers[D]. 2008, Dalian: Faculty of Infra-structure Engineering, Dalian University Technology.

[12] Yan S., Sun Wei. Numerical simulation for concrete structure health monitoring based on smart piezoelectric transducer array[J]. Advances in Science and Technology, 2008, 56, 469-476.

[13] Meng Yanyu, Yan Shi, Sun Wei. Experimental research on real-time crack monitoring of eccentric compression concrete columns based on piezoelectric sensors[J]. Concrete, 2009(9): 10–13 (in Chinese).

[14] Gu H. Innovative Application of Smart Piezoelectric Material to Vibration Control and Health Monitoring[D]. 2007, Houston: Department of Mechanical Engineering, University of Houston.

[15] Hou Z., Noori M., Amand R. S. Wavelet-based approach for structural damage detection[J]. Journal of Engineering Mechanics, 2000, 126(7): 677-683.

[16] Sun Wei. Health Monitoring Technology for Smart Concrete Structures Using Piezoelectric Ceramic[D]. 2009, Dalian: Faculty of Infrastructure Engineering, Dalian University of Technology.

[17] Li H., Sun Hongmin. Application of wavelet analytical method to civil engineering[J]. World Earthquake Engineering, 2003, 19(2): 16-22.

[18] Zhang Yamei, Qin Honggen, Sun Wei. Preliminary study on the proportion design of recycled aggregate concrete[J]. China Concerete and Cement Products, 2002 (1): 7–9 (in Chinese).