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@article{166958,
        author = {R.V.VISHALINI and S.R.SUMATHY},
        title = {STRUCTURAL DEFECTS IDENTIFICATION AND PERFORMANCE BASED ANALYSIS USING NON- DESTRUCTIVE METHODS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {570-575},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166958},
        abstract = {Structural Health monitoring (SHM) is an emerging technology, aiming to the process of implementing a damage detection of structures. Structural inspection plays a key role in public safety in regards to both long-term damage accumulation and post extreme event scenarios. In this paper monitoring of structural elements will be done by using Non-Destructive method. Accelerometer, piezoelectric sensor And ARDUINO BOARD are the one of the Non-Destructive methods to identify the structural anomalies (Acceleration, displacement, crack, voids, vibration, etc.,). Identification of Crack images (using MATLAB) are used for many other fields like medical, veterinary, military, environment. In structural defects identification, CRACK images are used for detection of defects in concrete structures and also estimating the defect parameters like size and depth. Crack images of BEAMS IN INNER AND OUTER LAYER WITH SENSORS can help to identify the exact location of the defect (which defect cannot identify by naked eye) so that repair works can be minimized. Crack image processing will be done by using MATLAB code. In this paper explained about the Accelerometer are used to measure the displacement of the structural element in X,Y,Z directions.},
        keywords = {Accelerometer, Piezo- Electric Sensor, Arduino Board, Matlab, Python Software, Thermographic Images},
        month = {August},
        }