Vibration Based Damage Detection Techniques for Small to Medium Span Bridges: A Review and Case Study
Abstract »Overtime, the structural condition of bridges tends to decline due to a number of degradation processes, such as; creep, corrosion and cyclic loading, among others. Considerable research has been conducted over the years to assess and monitor the rate of such degradation with the aim of reducing structural uncertainty. Traditionally, vibration-based damage detection techniques in bridges have focused on monitoring changes to modal parameters and subsequently comparing them to numerical models. These traditional techniques are generally time consuming and can often mistake changing environmental and operational conditions as structural damage. Recent research has seen the emergence of more advanced computational techniques that not only allow the assessment of noisier and more complex data, but also allow research to veer away from monitoring changes in modal parameters alone. This paper presents a review of the current state-of-the-art developments in vibration based damage detection in small to medium span bridges with particular focus on the utilization of advanced computational methods that avoid traditional damage detection pitfalls. A case study of the S101 Bridge is also presented to test the damage sensitivity a chosen methodology.
Biography: John Moughty is completing a PhD in the Polytechnic University of Catalonia under the supervison of Prof. Joan Ramon Casas. His research is focused on the Assessment of Bridge Condition and Safety Based on Measured Vibration Level and is funded by T.R.U.S.S., which is a Horizon 2020 Marie Skłodowska-Curie Innovative Training Network.
Affiliation: Polytechnic University of Catalonia (UPC) Dept. of Civil Engineering 08034 Barcelona Spain 0034658172114 Stand: SHM for bridgesCasas, JoanCasas, Joan firstname.lastname@example.org 34934016513
Biography: Professor of Bridge Engineering
Affiliation: Universitat Politecnica de Catalunya-BarcelonaTech 08034 Barcelona Spain