Smart Materials and Structures · 2005 · 202 citations · 24 references
Strength PredictionDamage SeverityEngineeringDurability PerformancePiezo-impedance TransducersCivil EngineeringConcrete TechnologyReinforced ConcreteStructural Health MonitoringTransducer PrincipleFiber-reinforced Cement CompositeStructural PerformancePiezoelectricityUltra-high-performance ConcreteStructural MechanicsConstruction EngineeringDamage AssessmentStructural Engineering
The study introduces a non‑destructive concrete assessment method that uses piezo‑impedance transducers to predict in‑situ strength and quantify damage severity via a fuzzy probabilistic model. The authors identify impedance parameters from piezo‑transducer admittance, calibrate them through extensive specimen tests, and employ a fuzzy probabilistic model to relate equivalent stiffness changes to damage severity. The calibrated impedance parameters proved sensitive to both curing‑related strength gain and structural damage, enabling accurate damage detection.
This paper presents a new approach for the non-destructive evaluation of concrete, covering both strength prediction and damage assessment, using the electro-mechanical impedance technique. A new empirical method is proposed to determine in situ concrete strength non-destructively using admittance signatures of surface-bonded piezo-impedance transducers. This is followed by the 'identification' of appropriate impedance parameters for concrete. The identified parameters are found to be sensitive to structural damages as well as to concrete strength gain during curing. Comprehensive tests were conducted on concrete specimens up to failure to empirically calibrate the 'identified' system parameters with damage severity. An empirical fuzzy probabilistic damage model is proposed to quantitatively predict damage severity in concrete based on variation in the identified equivalent stiffness.
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Furong Sun, C. A. Rogers · Journal of Intelligent Material Systems and Structures · 1994 · 766 citations