| MS TSA Meeting

Name of the Speaker: Mr. Aananth K ( EE20S133 )
Guide: Prof. Balaji Srinivasan
Venue: ESB-244 (Seminar Hall)
Date/Time: 3rd January 2024 (Wednesday), 4:00 PM
Title: Design and Development of Matched-FBG based Multi-Channel Dynamic Interrogation System (MCDIS) for Structural Health Monitoring Applications Abstract:

Abstract

Non-destructive testing (NDT) plays a vital role in extending the life span of capital intensive structures such as ships, bridges, tank floors etc. Among the various NDT approaches, the ultrasonic guided wave-based defect identification based on piezoelectric transducers for excitation and reception of elastic guided waves in structures has emerged as an interesting modality. However, deploying such sensors on real-life structures becomes a cumbersome process since they have a relatively large footprint, are susceptible to electromagnetic interference (EMI), and are not amenable for distributed sensing.

Recently, fiber optic sensor technology has attracted attention as they offer several advantages such as immunity to electromagnetic interference (EMI), ability to be embedded within or surface-bonded onto structures for in-situ monitoring, thereby paving the way for the replacement of PZT sensors. Among all fiber optical sensors, Fiber Bragg Gratings (FBGs) have become particularly attractive as they have been demonstrated as a viable alternative for detecting ultrasonic guided waves. But, the key for their acceptance among the NDT community is a commercializable technique for dynamic interrogation. Among the available dynamic interrogation techniques available for change in Bragg wavelength measurements, the matched FBG filter based dynamic interrogation technique has been recently demonstrated to be a highly scalable and economical method.

In this seminar we will discuss the design and development of a scalable matched FBG filter based multi-channel dynamic interrogation system (MCDIS) with an auto-calibration algorithm for successful simultaneous multi-point guided wave measurements. We simulate an eight-channel multi-point sensing scheme using FEA simulation software and validate it with experimental results to analyse its performance and understand its limitations.