1 research outputs found
Design and Analysis of Structural Health Monitoring System for the Diagnosis of Morphological Deformities of Bolted Structures
No full textPart 2: Applications of AI/ML in Image ProcessingInternational audienceA procedure called structural health monitoring (SHM) aims to deliver accurate and timely information on a structure’s performance. The primary concern of the State agencies participating in the many elements of their inquiry, planning, design, building, operation, and maintenance is the safety of the numerous engineering structures in our nation. Due to these developments, there is an increasing need to cut maintenance costs and create a safer environment by preventing structural breakdowns. The degradation of engineering structures brought on by time, incorrect maintenance, and other internal and external environmental elements has had a substantial impact on the quality of structures. Therefore, it is essential to establish SHM Systems for the continuous or periodic long-term monitoring of vital parameters in order to assure safety and reliability. The integrity of bolted joints in steel structures is a growing problem since it is possible for bolts to self-loosen as a result of various external environmental conditions. Using a Single-Ended Primary-Inductor Converter (SEPIC), a DC/DC buck-boost converter topology, a sensor-based bolt looseness detection and reporting system for railway fishplate joints has been proposed in this work. Setting the duty cycle of the control switch to provide a constant voltage output requires a PI Controller. An ultrasonic sensor was used to detect looseness, and an algorithm for identifying and evaluating structural anomalies has been proposed. The conceivable future advancement designs that can be coordinated with this framework are likewise shown in this paper
