Electro-Mechanical Impedance-Based Structural Health Monitoring of Fiber-Reinforced Concrete Specimens under Four-Point Repeated Loading

Author:

Naoum Maria C.1ORCID,Chalioris Constantin E.1ORCID,Karayannis Chris G.2ORCID,Karabinis Athanasios I.1,Elenas Anaxagoras1

Affiliation:

1. Department of Civil Engineering, Democritus University of Thrace, 67100 Xanthi, Greece

2. Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Abstract

Fiber Reinforced Concrete (FRC) has shown significant promise in enhancing the safety and reliability of civil infrastructures. Structural Health Monitoring (SHM) has recently become essential due to the increasing demand for the safety and sustainability of civil infrastructures. Thus, SHM provides critical benefits for future research to develop more advanced monitoring systems that effectively detect and diagnose the damage in FRC structures. This study investigates the potential of an Electro-Mechanical Impedance (EMI) based SHM system for detecting cracks in FRC prisms subjected to four-point repeated loading. For the needs of this research, an experimental investigation of three FRC specimens with the dimensions 150 × 150 × 450 (mm) were subjected to three different loading levels where no visual cracks formed on their surface. Next, prisms were subjected to reloading until they depleted their load-carrying capacity, resulting in pure bending fracture at the mid-span. A network of nine cement paste coated Piezoelectric lead Zirconate Titanate (PZT) transducers have been epoxy bonded to the surface of the FRC prisms, and their frequency signal measurements were utilized for quantitative damage assessment. The observed changes in the frequency response of each PZT sensor are evaluated as solid indications of potential damage presence, and the increasing trend connotes the severity of the damage. The well-known conventional static metric of the Root Mean Square Deviation (RMSD) was successfully used to quantify and evaluate the cracking in FRC specimens while improving the efficiency and accuracy of damage detection. Similarly, the dynamic metric of a new statistical index called “moving Root Mean Square Deviation” (mRMSD) was satisfactorily used and compared to achieve and enhance accuracy in the damage evaluation process.

Funder

Risk and Resilience Assessment Center—Prefecture of East Macedonia and Thrace-Greece

Competitiveness, Entrepreneurship and Innovation

Greece and the European Union

Publisher

MDPI AG

Subject

Safety, Risk, Reliability and Quality,Civil and Structural Engineering

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