@Article{cmes.2026.079313,
AUTHOR = {Hamed Saber, Antonio Zippo, Farhad S. Samani, Francesco Pellicano},
TITLE = {Enhancing Bridge Vibration Control through Optimized Quasi-Zero-Stiffness Supports under Moving Mass},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/CMES/online/detail/26770},
ISSN = {1526-1506},
ABSTRACT = {Lightweight bridges are increasingly used in modern infrastructure due to their structural efficiency; however, their relatively low stiffness and damping lead to a high sensitivity to vibration excitation induced by moving loads such as pedestrians and vehicles. Conventional vibration mitigation strategies are often insufficient to suppress low-frequency responses, which has caused the development of advanced nonlinear isolation mechanisms. This paper investigates the effectiveness of nonlinear quasi-zero stiffness supports (QZSS) in suppressing vertical vibrations of lightweight bridges. Such structures are highly susceptible to vibrations induced by moving loads because of low stiffness and dissipation, with consequent high amplification near the resonances. The bridge excitation is a moving mass, and its structure is modelled as an Euler-Bernoulli beam. The partial differential equation (PDE) is analyzed through the Bubnov-Galerkin approach after expanding the displacement field using a multimode eigenfunction series, the resulting ordinary differential equations are numerically solved using the Gauss-Kronrod algorithm. The optimal parameters of the QZSS are identified based on the criterion of maximum footbridge deflection. Comparative analyses demonstrate the superior performance of optimized nonlinear QZSS over conventional linear elastic supports. The results indicate that an optimally designed QZSS incorporated with a dashpot can reduce the maximum vibration amplitude by up to 67% under moving loads, demonstrating its effectiveness as a vibration mitigation strategy for lightweight bridges. Moreover, reductions of up to 90% can be achieved across the remaining frequency range.},
DOI = {10.32604/cmes.2026.079313}
}