Early Stage Researcher
Full Scale Dynamics Ltd (United Kingdom)
Project 7: Bridge condition assessment using rotation measurements
Research Interests:
Bridge loading; Weigh-in-motion; Structural health monitoring; Finite element modeling; Structural dynamics
Biography:
Farhad Huseynov received his BSc degree in Civil Engineering from Middle East Technical University (METU), Turkey, and MSc (with distinction) degree in Structural Engineering from the University of Sheffield, UK, in 2009 and 2012, respectively. After graduation he worked as a Structural Design Engineer for several industry leading companies and gained an extensive experience specifically in bridge design projects. He has worked on a wide range of projects including but not limited to short- and long-span precast girder, integral, long span continuous bridges design works.
His previous research experience includes Finite Element Modeling of Bosporus Suspension Bridge. He joined TRUSS ITN in November 2015. A summary of his research highlights and training, dissemination and outreach activities in TRUSS other than network-wide events, is provided in the pdf below, followed by more detailed info on his research outputs.
Research Outputs:
Publications in TRUSS
Journal papers
Historically the UK has been a pioneer and early adopter of experimental investigation techniques on new and operation structures, a technology that would now be described as Structural Health Monitoring (SHM), yet few of these investigations have been enduring or carried out on the long span or tall structures that feature in flagship SHM applications in the Far East. [DOI] -> Link to full text in academic repository
Conference contributions
This report will review a study of a single span bridge on a private heritage railway in England under varying loading conditions. The loading conditions were supplied by the passing steam engines, including the Flying Scotsman. The study was designed to measure static and dynamic measurements of the bridge under loading from passing steam trains. Accelerometers were used to determine the rotations and deflections of the bridge deck under loading from the trains. To verify the results, measurements of deflection at mid-span were taken using a video-based measurement system. The results showed that the proposed method provides high accuracy when compared to the video imagery measurements.
This paper reports on recent contributions by the Marie Skłodowska-Curie Innovative Training Network titled TRUSS (Training in Reducing Uncertainty of Structural Safety) to the field of structural safety in rail and road bridges (http://trussitn.eu). In TRUSS, uncertainty in bridge safety is addressed via cost-efficient structural performance monitoring and fault diagnostics methods including: (1) the use of the rotation response due to the traffic traversing a bridge and weigh-in-motion concepts as damage indicator, (2) the combination of design parameters in probabilistic context for geometrical and material properties, traffic data and assumption on level of deterioration to evaluate bridge safety (via Bayesian updating and a damage indicator based on real time measurement), (3) the application of a fuzzy classification technique via feature selection extracted using empirical mode decomposition to detect failure, and (4) the testing of alternative vibration based damage sensitive features other than modal parameters. Progress has also been made in improving modern technologies based on optical fiber distributed sensing, and sensors mounted on instrumented terrestrial and on aerial vehicles, in order to gather more accurate and efficient info about the structure. More specifically, the following aspects have been covered: (a) the spatial resolution and strain accuracy obtained with optical distributed fiber when applied to concrete elements as well as the ideal adhesive, and the potential for detecting crack or abnormal deflections without failure or debonding, (b) the possibility of using the high-resolution measurement capabilities of the Traffic Speed Deflectometer for bridge monitoring purposes and, (c) the acquisition of bridge details and defects via unmanned aerial vehicles. -> Link to full text in academic repository