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Maria Naoum, PhD, George Sapidis, Nikolaos Papadopoulos and Constantin Chalioris, PhD
Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece
Part of the book: The Challenges of Disaster Planning, Management, and Resilience
Nowadays, due to the deterioration in existing structures, there is an extended need for precocious damage detection in Reinforced Concrete (RC) structures. Real-time applications of Structural Health Monitoring (SHM) via piezoelectric sensors are up to this task. The present study presents Synthetic Fiber Reinforced Concrete (SFRC) prismatic specimens with dimensions of 150 × 150 × 450 mm subjected to a four-point bending test. At first, prisms are subjected to repeated loading (loading, unloading, reloading) using different loading levels at every state. Then, specimens were reloaded until their consumption of load-carrying capacity and fractured from pure bending in the mid-span. The real-time evaluation of the structural integrity of the examined structural member was carried out via the Electrο-Μechanical Impedance (EMI) method on an array of Piezoelectric lead Zirconate Titanate (PZT) transducers that have been epoxy bonded to the surface of the SFRC specimens. The EMI method aimed to correlate the frequency response changes of the attached PZT transducers with the crack propagation and the damage formation. Quantitative damage evaluation was achieved using the frequency signal measurements of the PZT transducers and comparisons of several commonly used statistic damage index values (such as RMSD, MAPD, and CCD). Test results of this study indicate a strong potential for precocious identification of damage in SFRS specimens. Simultaneously, a crucial observation for the prompt damage diagnosis prior to catastrophic failure is the strategic positioning of PZT transducers in the specimen surface to secure their structural resilience.
Keywords: Structural Health Monitoring (SHM), Reinforced Concrete (RC), Fiber Reinforced Concrete (FRC), Piezoelectric lead Zirconate Titanate (PZT), real-time structural monitoring, damage diagnosis
 Zhang, J., Jianwei Cheng, Yuanming Dou, and Qin Xin. 2017. “Mechanical Properties and Durability
of Fiber-Reinforced Concrete.” Journal of Engineering Science and Technology Review 10 (5): 68-75.
 Liu, J., Yanmin Jia, and Jun Wang. 2019. “Experimental Study on Mechanical and Durability Properties
of Glass and Polypropylene Fiber Reinforced Concrete.” Fibers and Polymers 20 (9): 1900-1908.
 Chalioris, C. E. 2013. “Steel Fibrous RC Beams Subjected to Cyclic Deformations under Predominant
Shear.” Engineering Structures 49: 104-18. https://doi.org/10.1016/j.engstruct.2012.10.010.
 Xu, H., Zhijie Wang, Zimeng Shao, Libin Cai, Hesong Jin, Zengzhao Zhang, Zhihong Qiu, Xiaohao
Rui, and Tiewei Chen. 2021. “Experimental Study on Durability of Fiber Reinforced Concrete: Effect
of Cellulose Fiber, Polyvinyl Alcohol Fiber and Polyolefin Fiber.” Construction and Building Materials
306 (June): 124867. https://doi.org/10.1016/j.conbuildmat.2021.124867.
 Voutetaki, M. E., Naoum, M. C., Papadopoulos, N. A., Sapidis, G. and Chalioris, C. E. 2021. “Cracking
Diagnosis in Fibre Reinforced Concrete Cubes and Cylinders with Synthetic Fibres Using a PZT-Based
Health Monitoring System” 9523 (9): 140-51. https://doi.org/10.36347/sjet.2021.v09i09.004.
 Voutetaki, M. E., Naoum, M. C., Papadopoulos, N. A. and Chalioris, C. E. 2022. “Cracking Diagnosis
in Fiber-Reinforced Concrete with Synthetic Fibers Using Piezoelectric Transducers.” Fibers 10 (1).
 Nana, W. S. A., H. V. Tran, T. Goubin, G. Kubisztal, A. Bennani, T. T. Bui, G. Cardia, and A. Limam.
2021. “Behaviour of Macro-Synthetic Fibers Reinforced Concrete: Experimental, Numerical and
Design Code Investigations.” Structures 32 (March): 1271-86. https://doi.org/10.1016/j.istruc.2021.03.080.
 Chalioris, C. E. and Panagiotopoulos, T. A. 2018. “Flexural analysis of steel fiber-reinforced concrete
members.” Computers and Concrete, 22, 11-25.
 Azimi, M., Armin Dadras Eslamlou, and Gokhan Pekcan. 2020. Data-Driven Structural Health
Monitoring and Damage Detection through Deep Learning: State-Ofthe- Art Review. Sensors
(Switzerland). Vol. 20. https://doi.org/10.3390/s20102778.
 Alberti, M. G., A. Enfedaque, J. C. Gálvez, and A. Picazo. 2020. “Recent Advances in Structural Fibre Reinforced Concrete Focused on Polyolefin-Based Macro-Synthetic Fibres.” Materiales de
Construccion 70 (337). https://doi.org/10.3989/mc.2020.12418.
 Liang, C., Sun F. P., Rogers C. A. 1994. “Coupled Electro-Mechanical Analysis of Adaptive Material
Systems – Determination of the Actuator Power Consumption and System Energy Transfer.” Journal of
Intelligent Material Systems and Structures. 5(1):12-20. DOI: https://doi.org/10.1177/1045389X9400500102.
 Providakis, C. P., Angeli, G. M., Favvata, M. J., Papadopoulos, N. A., Chalioris, C. E., Karayannis, C.
G. 2014. “Detection of concrete reinforcement damage using piezoelectric materials – Analytical and
experimental study.” Int. J. Civil Archit. Struct. Constr. Eng., 8, 197-205.
 Chalioris, C. E., Papadopoulos, N. A. Angeli, G. M. Karayannis, Chris G. Asterios A. Liolios, and
Costas P. Providakis. 2015. “Damage Evaluation in Shear-Critical Reinforced Concrete Beam Using
Piezoelectric Transducers as Smart Aggregates.” Open Engineering 5 (1): 373-84.
 Bhalla, S., and Chee Kiong Soh. 2004. “Electro-mechanical Impedance Modeling for Adhesively
Bonded Piezo-Transducers.” Journal of Intelligent Material Systems and Structures 15 (12): 955-72.
 Voutetaki, M. E., Papadopoulos, N. A., Chalioris, C. E. and Providakis, C. P. 2016. “NDT for Damage
Diagnosis in Shear-Critical Concrete Beams Using External PZTs and a New Wireless Monitoring
System (WiAMS).” Concrete Solutions – Proceedings of Concrete Solutions, 6th International
Conference on Concrete Repair, 2016, 187-94.
 Chalioris, C. E., Kytinou, V. K., Voutetaki, M. E., Karayannis, C. G. 2021. “Flexural Damage Diagnosis
in Reinforced Concrete Beams Using a Wireless Admittance Monitoring System – Tests and Finite
Element Analysis.” Sensors (Switzerland) 21 (3): 1. https://doi.org/10.3390/s21030679.
 Chalioris, C. E., Providakis, C. P., Favvata, M. J., Papadopoulos, N. A., Angeli, G. M., Karayannis, C.
G. 2015. “Experimental application of a wireless earthquake damage monitoring system (WiAMS)
using PZT transducers in reinforced concrete beams.” WIT Trans. Built. Environ., 152, 233-243.
 Chalioris, C. E., Voutetaki, M. E., Liolios, A. A. 2020. “Structural health monitoring of seismically
vulnerable RC frames under lateral cyclic loading.” Earthquake and Structures, 19, 29-44.
 Tenreiro, A. Francisco G., António M. Lopes, and Lucas F. M. da Silva. 2022. “A Review of Structural
Health Monitoring of Bonded Structures Using Electromechanical Impedance Spectroscopy.”
Structural Health Monitoring 21 (2): 228-49. https://doi.org/10.1177/1475921721993419.
 Narayanan, A., Amarteja Kocherla, and Kolluru V. L. Subramaniam. 2018. “PZT Sensor Array for Local
and Distributed Measurements of Localized Cracking in Concrete.” Smart Materials and Structures 27
 Perera, R., Lluis Torres, Antonio Ruiz, Cristina Barris, and Marta Baena. 2019. “An Emi-Based
Clustering for Structural Health Monitoring of NSM FRP Strengthening Systems.” Sensors
(Switzerland) 19 (17). https://doi.org/10.3390/s19173775.
 Sevillano, E., Rui Sun, Alberto Gil, and Ricardo Perera. 2016. “Interfacial Crack-Induced Debonding
Identification in FRP-Strengthened RC Beams from PZT Signatures Using Hierarchical Clustering
Analysis.” Composites Part B: Engineering 87: 322-35. https://doi.org/10.1016/j.compositesb.2015.09.006.
 Yan, B., Qiqi Zou, You Dong, and Xudong Shao. 2018. “Application of PZT Technology and Clustering
Algorithm for Debonding Detection of Steel-UHPC Composite Slabs.” Sensors (Switzerland) 18 (9).
 Junior, P. O., Salvatore Conte, Doriana M. D’Addona, Paulo Aguiar, and Fabricio Bapstista. 2020. “An
Improved Impedance-Based Damage Classification Using Self-Organizing Maps.” Procedia CIRP 88:
 Oliveira, M. A. de, Andre V. Monteiro, and Jozue Vieira Filho. 2018. “A New Structural Health
Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network.” Sensors (Switzerland)
18 (9). https://doi.org/10.3390/s18092955.