STRUCTURAL DEFECTS IDENTIFICATION AND PERFORMANCE BASED ANALYSIS USING NON- DESTRUCTIVE METHODS

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R.V.VISHALINI; S.R.SUMATHY

STRUCTURAL DEFECTS IDENTIFICATION AND PERFORMANCE BASED ANALYSIS USING NON- DESTRUCTIVE METHODS

Authors: R.V.VISHALINI, S.R.SUMATHY

Unique Paper ID: 166958
Volume: 11
Issue: 3
PageNo: 570-575

Keywords: Accelerometer Piezo- Electric Sensor Arduino Board Matlab Python Software Thermographic Images

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.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 3
PageNo: 570-575

STRUCTURAL DEFECTS IDENTIFICATION AND PERFORMANCE BASED ANALYSIS USING NON- DESTRUCTIVE METHODS

Available:https://ijirt.org/article?manuscript=166958

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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