AA257

Structural health monitoring (SHM) is an emerging technology that provides high-resolution real-time state-sensing, awareness, and self-diagnostic capabilities of structures in service enabled by different types of sensors. SHM is a technology that is designed to interface with the industrial internet of things (IIoT) environment (a) to extend the duration of the service life; (b) to increase the reliability; (c) to reduce the maintenance cost and operational cost. The course will provide in-depth knowledge of two basic damage detection methods for SHM, (a) active sensing and (b) passive sensing. This course will also discuss different kinds of smart materials and sensors, including piezoelectric materials as sensing and actuating elements to interrogate the structures. Advanced signal processing techniques and different types of diagnostics techniques will be discussed and applied to various damage scenarios for qualitative and quantitative measurements. The class will involve structural dynamics, wave propagation, signal processing, finite element methods, and study test cases. Prerequisite: 240 or consent of instructor.