A new paper is published by SDA-Lab at the journal of “Sensors” (MDPI) (imf: 3.847 Q1). The paper titled “Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study” is a field study proposing and validating a novel modal estimation technique based on improved Hilbert-Huang Transformation. This paper is authored by Dr. Abdollah Malekjafarian, (the leader of SDA-Lab), Dr. Muhammad Arslan Khan (a postdoctoral researcher at SDA-Lab), Prof. Eugene OBrien (professor at School of Civil Engineering, UCD), Dr. E. Alexandra Micu (a postdoctoral researcher at Trinity College Dublin), Dr. Cathal Bowe (Irish Rail) and Dr. Ramin Giasi (a postdoctoral researcher at SDA-Lab).
This paper presents a field investigation of direct and indirect bridge health monitoring approaches for a multiple span viaduct. For the field test, the Malahide Viaduct is instrumented using accelerometers, and the results were compared with the indirect data obtained from an instrumented train. The paper indicates the changes of frequencies near the repaired spans and the ability of estimating natural frequences of each span using indirect measurements from passing trains
The paper is published fully open access and can be found in the following link: https://www.mdpi.com/1424-8220/22/19/7468