Experimental Evaluation of RC Structures with Brick Infills for Vertical Forest Adaptation in Seismic Regions
Authors:
- Theodoros RousakisTheodoros Rousakis
- Vachan VanianVachan Vanian
- Martha LappaMartha Lappa
- Adamantis G. ZaprisAdamantis G. Zapris
- Ioannis P. XynopoulosIoannis P. Xynopoulos
- Maristella VoutetakiMaristella Voutetaki
- Stefanos KellisStefanos Kellis
- George SapidisGeorge Sapidis
- Maria NaoumMaria Naoum
- Nikos PapadopoulosNikos Papadopoulos
- Violetta K. KytinouVioletta K. Kytinou
- Martha KarabiniMartha Karabini
Open Access
Abstract
Existing Mediterranean reinforced concrete buildings with masonry infills exhibit critical seismic vulnerabilities, yet real-time damage detection capabilities remain limited. This study validates a novel dense piezoelectric transducer (PZT) network concept for early damage detection in deficient RC structures under progressive seismic loading. A three-dimensional single-story RC frame with brick infills, representative of pre-Eurocode Mediterranean construction (non-ductile detailing, inadequate transverse reinforcement), was tested at serviceability limit states (SLSs) (Phase A) using a dynamic pushover approach with the 1978 Thessaloniki earthquake record, progressively scaled from EQ0.1g to EQ1.1g within the GREENERGY vertical forest renovation project. The specimen featured 48 PZTs using electromechanical impedance (EMI) methodology, 12 accelerometers, 8 displacement sensors, and 20 strain gauges. Progressive infill deterioration initiated at EQ0.5g while steel reinforcement remained elastic (max 2350 μstrain < 2890 μstrain yield). Maximum inter-story drift reached 11.37‰ with negligible residual drift (0.204‰). The PZT network, analyzed through Root Mean Square Deviation (RMSD), successfully detected internal cracking and infill-frame debonding before visible manifestation, validating its early warning capability. Floor acceleration amplification increased from 1.26 to 1.57, quantifying structural stiffness degradation. These SLS results provide critical baseline data enabling the Phase B implementation of sustainable vertical forest retrofitting strategies for aging Mediterranean building stock.Keywords
Funding Information
- European Union—NextGenerationEU (015376)
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