Simulation of PZT monitoring of reinforced concrete beams retrofitted with CFRP

C. P. Providakis, T. C. Triantafillou, D. Karabalis, A. Papanicolaou, K. Stefanaki, A. Tsantilis, E. Tzoura

Research output: Contribution to journalArticlepeer-review


A numerical study has been carried out to simulate an innovative monitoring procedure to detect and localize damage in reinforced concrete beams retrofitted with carbon fiber reinforced polymer (CFRP) unidirectional laminates. The main novelty of the present simulation is its ability to conduct the electro-mechanical admittance monitoring technique by considerably compressing the amount of data required for damage detection and localization. A FEM simulation of electromechanical admittance-based sensing technique was employed by applying lead zirconate titanate (PZT) transducers to acquire impedance spectrum signatures. Response surface methodology (RSM) is finally adopted as a tool for solving inverse problems to estimate the location and size of damaged areas from the relationship between damage and electro-mechanical admittance changes computed at PZT transducer surfaces. This statistical metamodel technique allows polynomial models to be produced without requiring complicated modeling or numerous data sets after the generation of damage, leading to considerably lower cost of creating diagnostic database. Finally, a numerical example is carried out regarding a steel-reinforced concrete (RC) beam model monotonically loaded up to its failure which is also retrofitted by a CFRP laminate to verify the validity of the present metamodeling monitoring technique. The load-carrying capacity of concrete is predicted in the present paper by utilizing an Ottosen-type failure surface in order to better take into account the passive confinement behavior of retrofitted concrete material under the application of FRP laminate.

Original languageEnglish (US)
Pages (from-to)811-830
Number of pages20
JournalSmart Structures and Systems
Issue number5
StatePublished - Nov 1 2014


  • Damage identification
  • Electromechanical admittance
  • FEM
  • Ottosen-type concrete failure
  • Response surface metamodels
  • Structural health monitoring

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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