Browsing by Author "Bandi, Rohith"

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    REAL TIME STRUCTURAL MONITORING BY USING IoT AND ANALYTICAL METHODS
    (National Institute of Technology, Silchar, 2026) Bandi, Rohith
    Assessing the safety and performance of civil engineering structures requires methods that go beyond periodic visual checks. This study develops a vibration-based structural health monitoring approach that combines IoT-based sensing with analytical evaluation to detect internal changes in structural behavior. ESP32 microcontrollers paired with ADXL345 accelerometers were used to collect real-time vibration data from reinforced concrete slabs. Experiments were conducted on slabs from both an existing and a newly constructed building (Chapter 6). Sensors were fixed at multiple positions, and controlled impacts were applied at different drop heights (50 cm, 100 cm and 150 cm) to generate vibration responses. The recorded data was processed to extract natural frequency and damping ratio using five methods (Chapter 5) Half Power Bandwidth, Logarithmic Decrement, Curve Fit, Phase-Based, and Nyquist Plot. The Half Power Bandwidth method returned the most consistent and accurate results across all test cases. The Logarithmic Decrement and Nyquist Plot methods also performed reliably. Differences in structural condition and material properties between old and new building slabs produced distinct response patterns, which the methods captured clearly (Chapter 7). Contour mapping was used to present frequency and damping values to represent spatially across the floors (Chapter 7). The resulting maps make it straight forward to identify damage locations of changed stiffness or altered energy dissipation through color variations. The results confirm that combining sensor-based data collection, structured analytical methods, and spatial visualization gives a practical framework for monitoring structural behavior and identifying potential issues without depending on visual inspection alone.