Advanced Technologies and Data Analytics for Transformative Strain-Based Structural Health Monitoring

ABSTRACT

Civil structures and infrastructure (structures) are inevitably subjected to damage and deterioration caused by natural or man-made processes and interferences. Sustainable construction, preservation, maintenance, renewal, and repurposing of civil structures and infrastructure is becoming a key challenge in modern society. Structural Health Monitoring (SHM) is a process aimed at providing actionable information on structural health condition and performance, which in turn can be used to plan and optimize the actions relative to the above presented challenge. SHM can be viable solution only if it can guarantee sufficient sensitivity to damage and deterioration, reliable high-quality data in long terms, and interpretability of long-term data. These challenges are particularly present in concrete structures, where thermal and rheological strain (creep and shrinkage) tend to confuse usual structural behaviors with damage and deterioration. This seminar first presents innovative technologies that can enable high sensitivity to damage and deterioration: discrete long-gauge fiber-optic strain sensors, 1D distributed fiber-optic strain sensors, and novel 2D sensing sheets based on large-area electronics. Then, advanced algorithms based on advanced statistics (moving average) and machine learning (probabilistic and convolutional neural networks) for evaluation of long-term data prediction and reliability evaluation are presented. Finally, innovative approaches for assessment of long-term performance of beam-like structures are presented. Advanced technologies and algorithms were implemented and validated on a real structure, Streicker Bridge on Princeton University campus, which was instrumented with SHM during its construction in 2009.

BIOGRAPHY

Prof. Branko Glišić, received his degrees in Civil Engineering and Theoretical Mathematics at the University of Belgrade, Serbia, and Ph.D. at the EPFL, Switzerland. After eight-year experience at SMARTEC, Switzerland, where he was involved in numerous Structural Health Monitoring (SHM) projects, he has been employed as a faculty member at the Department of Civil and Environmental Engineering of Princeton University, where he is currently serving as the Chair. His research is in the areas of SHM, Smart Structures, Heritage Structures, and Engineering and the Arts. Prof. Glišić is author and co-author of 100+ published papers, short courses on SHM, and the book “Fibre Optic Methods for Structural Health Monitoring”. He is Council Member and fellow of ISHMII, voting member of ACI committee 444, and member of several other professional associations and journal editorial boards. Prof. Glišić is recipient of several awards including prestigious SHM Person of the Year Award and ASCE Moisseiff Award.

Zoom Link: https://stevens.zoom.us/j/91634601626

To view the full list of seminar speakers for the Fall 2023 semester, visit the CEOE Seminars page.