ENAC Seminar Series by Dr B. Dubuc
Event details
| Date | 29.03.2021 |
| Hour | 17:30 › 18:15 |
| Speaker | Dr Brennan Dubuc |
| Location |
Zoom
Online
|
| Category | Conferences - Seminars |
17:30 – 18:15 – Dr Brennan Dubuc
Post-Doctoral Fellow at Applied Research Laboratories, University of Texas at Austin, USA
Harnessing Complex Acoustic Data for Longterm Autonomous Monitoring of Structures
Nowadays, monitoring structural damage evolution and understanding its longterm impact is crucial. With acoustic-based methods being some of the most promising for autonomous monitoring purposes, this research centers on advancing acoustics for reliable longterm applications in a range of critical structures. The goal is to characterize damage in its early stages and over time, so that decision-making and remedial measures can be strategized. Acoustic methods offer unique strengths in this area due to their non-invasive nature, versatility, and high sensitivities to important structural characteristics. Such sensitivities, however, also pose a challenge. Accounting for extraneous sensitivities is one of the forefront missions within the broad field of structural health monitoring. This research therefore targets this challenge to unlock the full potential of acoustic methods. With complex and potentially large acoustic data, the aim is to discover methods of data simplification via theoretical insight, as well as techniques for grappling with and understanding the data when simplification is not feasible. Case studies are presented across a range of structures and components, including prestressing/post-tensioning strands, prestressed concrete, and aircraft fuselages.
Short bio:
Brennan Dubuc is a postdoctoral fellow in the Applied Research Laboratories at the University of Texas at Austin (ARL:UT). His research at ARL:UT focuses on ocean and structural acoustic modeling and machine learning for undersea target tracking. Before joining ARL:UT, he obtained his doctoral degree in structural engineering from the University of Texas at Austin. His doctoral research was in the area of acoustic-based structural health monitoring. In this area, he made contributions to guided wave modeling, acoustoelasticity, and acoustic emission across a variety of structures. He serves as a reviewer for numerous journals, including Structural Health Monitoring, Mechanical Systems and Signal Processing, and the Journal of Sound and Vibration, to name a few.
Post-Doctoral Fellow at Applied Research Laboratories, University of Texas at Austin, USA
Harnessing Complex Acoustic Data for Longterm Autonomous Monitoring of Structures
Nowadays, monitoring structural damage evolution and understanding its longterm impact is crucial. With acoustic-based methods being some of the most promising for autonomous monitoring purposes, this research centers on advancing acoustics for reliable longterm applications in a range of critical structures. The goal is to characterize damage in its early stages and over time, so that decision-making and remedial measures can be strategized. Acoustic methods offer unique strengths in this area due to their non-invasive nature, versatility, and high sensitivities to important structural characteristics. Such sensitivities, however, also pose a challenge. Accounting for extraneous sensitivities is one of the forefront missions within the broad field of structural health monitoring. This research therefore targets this challenge to unlock the full potential of acoustic methods. With complex and potentially large acoustic data, the aim is to discover methods of data simplification via theoretical insight, as well as techniques for grappling with and understanding the data when simplification is not feasible. Case studies are presented across a range of structures and components, including prestressing/post-tensioning strands, prestressed concrete, and aircraft fuselages.
Short bio:
Brennan Dubuc is a postdoctoral fellow in the Applied Research Laboratories at the University of Texas at Austin (ARL:UT). His research at ARL:UT focuses on ocean and structural acoustic modeling and machine learning for undersea target tracking. Before joining ARL:UT, he obtained his doctoral degree in structural engineering from the University of Texas at Austin. His doctoral research was in the area of acoustic-based structural health monitoring. In this area, he made contributions to guided wave modeling, acoustoelasticity, and acoustic emission across a variety of structures. He serves as a reviewer for numerous journals, including Structural Health Monitoring, Mechanical Systems and Signal Processing, and the Journal of Sound and Vibration, to name a few.
Practical information
- General public
- Invitation required
- This event is internal
Organizer
- ENAC
Contact
- Christine Crosetti