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Fuzzy Logic-Based and Nondestructive Concrete Strength Evaluation Using Modified Carbon Nanotubes as a Hybrid PZT-CNT
Najeebullah Tareen1, Junkyeong Kim2, Won-Kyu Kim3
1Department of Civil, Architectural & Environmental System Engineering, Sungkyunkwan University, 2066 Seobu-ro, Suwon-si 16419, Korea.
This study introduces a novel, cost-effective, and fast nondestructive testing technique using piezoelectric (PZT) and carbon nanotube (CNT) sensors to monitor early concrete strength development. The method analyzes electromechanical impedance (EMI) signatures for safer infrastructure construction.
Area of Science:
- Materials Science
- Civil Engineering
- Nondestructive Testing
Background:
- Monitoring concrete strength development during early curing is crucial for structural safety and preventing construction incidents.
- Traditional methods for assessing concrete strength can be time-consuming or destructive, necessitating advanced monitoring techniques.
- Electromechanical impedance (EMI) signatures, influenced by material properties, offer a promising avenue for real-time structural health monitoring.
Purpose of the Study:
- To present a novel nondestructive testing (NDT) technique for monitoring concrete strength development at early curing ages.
- To integrate carbon nanotubes (CNTs) and piezoelectric (PZT) materials into a hybrid sensor for enhanced electromechanical impedance (EMI) measurements.
- To develop a fuzzy logic-based model for predicting concrete strength using EMI data, hydration temperature, and mixture ratios.
Main Methods:
- A hybrid PZT-CNT sensor and a Smart Rock temperature sensor were embedded in concrete specimens for data acquisition.
- Electromechanical impedance (EMI) signatures were measured to capture changes related to concrete's elastic modulus and strength development.
- A fuzzy logic model integrated EMI data, hydration temperature (for maturity method), and Universal Testing Machine (UTM) results for comparative analysis.
Main Results:
- The proposed EMI-based method accurately predicted concrete strength development during early curing ages.
- The technique demonstrated a strong correlation between EMI signatures, concrete mechanical properties, and strength gain.
- Comparative analysis confirmed the proposed method's effectiveness against traditional maturity and UTM methods.
Conclusions:
- The developed hybrid PZT-CNT sensor and fuzzy logic model provide a cost-effective and rapid approach for estimating concrete strength.
- This NDT technique enhances structural safety by enabling reliable monitoring of concrete during construction.
- The method's sensitivity to changes in concrete's mechanical properties offers a valuable tool for real-time infrastructure health assessment.
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