Events Calendar

Astani CEE Oral Defense

Speaker: Armen Derkevorkian , Astani CEE Ph.D. Student

Talk Title: Studies into Data-Driven Approaches for Nonlinear System Identification, Condition Assessment, and Health Monitoring

Abstract:
The recent advancements in computational capabilities and sensing technologies provide an excellent opportunity to develop, test, and validate data-driven mathematical models for system identification, condition assessment, and health monitoring of structural systems that may be vibrating in linear and/or nonlinear ranges. In this study, measurements from various large-scale, complex, experimental systems, as well as full-scale real-life multi-input-multi-output (MIMO) structures are used to develop robust mathematical frameworks for response prediction, change detection, nonlinear damping estimation, in addition to displacement-field and operating-load estimation. The systems under consideration are the Yokohama Bay Bridge which was subjected to the 2011 Great East Japan Earthquake; large-scale experimental soil-foundation-superstructure interaction systems subjected to various earthquake excitations with systematically increasing levels of intensity; swept wing-like experimental aluminum plates developed at the NASA Dryden Flight Research Center and instrumented with state-of-the-art fiber-optic sensors; and a four-story experimental test-bed designed, developed and fabricated at the University of Southern California. The vibration signatures from these systems are used to assess the viability of existing parametric and nonparametric identification approaches, and to propose new hybrid data-driven computational modeling methods that can accurately capture the correct physics of the underlying complex systems. This dissertation is a collection of analytical, computational, and experimental studies that capitalizes on the availability of large datasets to develop tools that can interpret these datasets, and to establish robust frameworks that can extract physically meaningful information, for an informed decision-making.

Location: Kaprielian Hall (KAP) - 209

Audiences: Everyone Is Invited

Contact: Evangeline Reyes