Date of Award

Fall 2021

Document Type

Open Access Thesis


Civil and Environmental Engineering

First Advisor

Rizos Dimitris


Structure Health Monitoring (SHM) is an essential practice for ensuring the safety of people and the structures itself. For this purpose, variety of global and local damage detection methods have been used to investigate damages. Global damage detection focus on identifying damage in early stages while local damage detection related to damage location, severity, and prediction of the remaining of the structure. Any damage in structure leads to a change to the properties and characteristics of the dynamic response.

Existing methods uses modal-based and response-based for damage detection. Both have several shortcoming associate with sensitivity of the damage and measurement error, false damage detection, extensive test requirement, and time consuming. In this thesis, B-spline Impulse Response Function (BIRF) algorithm is used for extracting the Dynamic Signature Response (DSR) which represent the current condition of the structure and are independent of the loading. In addition, DSR is used to for prediction of the response for any arbitrary force. Analytical verification through computer simulation is presented followed by a feasibility study of the proposed method and examine by an experimental lab work. Furthermore, the method have been implemented in Drone-based vibration and monitoring and assessment of structure.