This paper presents a computational study for investigating the feasibility of simultaneous identification of a material property of a Timoshenko continuous beam and a moving vibration source on the beam by using the data of measured vibrations on it. This work employs the finite element method to solve the wave equations of a Timoshenko beam subject to a moving vibrational source. It uses the Genetic Algorithm (GA) as an inversion solver to identify the values of targeted control parameters that characterize a material property of the beam and a moving vibration source on it. The numerical results show that, first, the presented inversion method can detect the characteristics of a moving wave source as well as the spatial variation of the elastic modulus of a Timoshenko-beam continuous bridge model, which is set to be piece wisely homogeneous in this work. Second, the GA-based joint inversion is effective even when the moving vibrational source's moving velocity is not constant over time. Third, the detrimental effect of noise in measurement data on the accuracy of the inversion becomes more significant as the number of control parameters increases. By using the presented method, engineers can take advantage of vehicle-induced ambient vibrations on bridges measured by modern sensors for the sake of passive wave source-based structural health monitoring (SHM).
- Finite element method (FEM)
- Genetic algorithm (GA)
- Joint inversion
- Passive wave source-based structural health monitoring (SHM)
- Timoshenko beam
- Vehicle-induced ambient vibrations