Suspension bridges due to their long span are susceptible against dynamic events, like air flow which can cause considerable problems for them. Flutter, as an aerodynamic phenomenon, makes bridges vibrate, whereas their amplitude gradually diverges, needed the vibration control strategies. Tuned mass damper or in brief TMD, as the simplest passive device, can be used for this purpose. The performance of it can be enhanced when it’s parameters are adjusted to their optimum values. In this paper, the TMD was optimized by meta-heuristic optimization algorithms to control the flutter of long span suspension bridges. In this regard, the Golden Gate suspension bridge and Car tracking algorithm were selected for case study and optimization process, respectively. Firstly, the flutter analysis of bridge was done by multi-mode method in the time domain, and at second part, the TMD’s parameters were simultaneously optimized for maximum increase of flutter velocity of all the vulnerable modes. The results indicated that TMD was perfectly suitable device to control the flutter of long span bridges.

由于悬索桥的跨度大，因此容易受到动态事件的影响，例如气流可能会对它们造成很大的问题。颤振是一种空气动力学现象，它使桥梁振动，而其振幅逐渐发散，因此需要振动控制策略。调谐质量阻尼器或简称TMD，作为最简单的无源设备，可用于此目的。如果将其参数调整为最佳值，则可以提高其性能。本文采用元启发式优化算法对TMD进行了优化，以控制大跨度悬索桥的颤动。在这方面，分别选择了金门大桥和汽车跟踪算法进行案例研究和优化过程。首先，在时域中采用多模方法对桥梁的颤振进行分析，第二部分，同时优化了TMD的参数，以最大程度提高所有脆弱模式的颤动速度。结果表明，TMD是控制大跨度桥梁颤动的理想设备。