College
College of Engineering
Mentor Information
Drithi Shetty
Description
Corrosion is one of the main causes of structural deterioration. It reduces the structural integrity of the metal at the damaged location, making the entire structure less safe and more susceptible to failure. Therefore, structural health monitoring (SHM) is important for detecting damage before unsafe conditions develop and potentially lead to structural failure. The purpose of this study is to investigate the use of vibration-based dynamic analysis to identify localized corrosion. Every structure has intrinsic frequencies and shapes in which it tends to vibrate, known as natural frequencies and mode shapes. These parameters depend on the mass and stiffness of the structure. Our goal is to identify the corrosion location using changes in natural frequencies and mode shapes. Impact hammer testing was performed on a 12-inch steel plate in both healthy and corroded conditions to experimentally obtain the vibration parameters. The experimental data was then processed to compare the mode shapes and natural frequencies of the bending modes of the healthy and corroded plates. The results show a reduction in the natural frequencies after corrosion. This reduction can be correlated with the corrosion location relative to the shape of a particular mode, i.e. smaller changes in the natural frequency of a mode were observed when the corrosion was located near its node and vice versa. These results indicate that changes in natural frequencies and mode shapes are influenced by the corrosion location. These findings can support the development of vibration-based algorithms for corrosion detection and localization.
Investigation of Localized Corrosion Effects on Structural Dynamic Properties
Corrosion is one of the main causes of structural deterioration. It reduces the structural integrity of the metal at the damaged location, making the entire structure less safe and more susceptible to failure. Therefore, structural health monitoring (SHM) is important for detecting damage before unsafe conditions develop and potentially lead to structural failure. The purpose of this study is to investigate the use of vibration-based dynamic analysis to identify localized corrosion. Every structure has intrinsic frequencies and shapes in which it tends to vibrate, known as natural frequencies and mode shapes. These parameters depend on the mass and stiffness of the structure. Our goal is to identify the corrosion location using changes in natural frequencies and mode shapes. Impact hammer testing was performed on a 12-inch steel plate in both healthy and corroded conditions to experimentally obtain the vibration parameters. The experimental data was then processed to compare the mode shapes and natural frequencies of the bending modes of the healthy and corroded plates. The results show a reduction in the natural frequencies after corrosion. This reduction can be correlated with the corrosion location relative to the shape of a particular mode, i.e. smaller changes in the natural frequency of a mode were observed when the corrosion was located near its node and vice versa. These results indicate that changes in natural frequencies and mode shapes are influenced by the corrosion location. These findings can support the development of vibration-based algorithms for corrosion detection and localization.
