Typical train load models and development objectives.

Typical train load models and development objectives.

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With continuous improvements in the social economy and living standards of individuals, the vibration comfort of building structures has gradually been emphasized by academic and engineering communities, such as vehicle-induced vibrations in buildings near traffic, human-induced vibrations in large-span structures, wind-induced vibrations in super-...

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... primary objective in developing vehicle load models and dynamic analyses was to determine passenger comfort or the safety and durability of train running, railways, or bridges. Table 1 lists the typical train load models in recent years. Therefore, their vehicle load models are sufficiently detailed, with the latest model having 42 DOFs [23]. ...

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... A particularly critical area for further inquiry is the long-term performance and deterioration of damping devices when subjected to diverse environmental conditions. Xie and Hua [149] assert that, while existing design approaches partially address these interactions, there is a pressing need for more advanced models capable of accurately forecasting the coupled behavior of dampers and structural components during intense seismic activity. This gap in understanding is particularly critical when considering the likelihood of nonlinear responses and damage accumulation in both the dampers and the primary structure. ...
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To enhance the vibration isolation functionality of the seat suspension system, particularly in the context of magnetorheological (MR) seat dampers, a pioneering semi-active controller integrating an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC) was devised. Firstly, the Bouc–Wen model was employed to establish the dynamic model of the damper based on experimental data, thereby ensuring an accurate description of the actual physical behaviours. Subsequently, the ANFIS technology was employed to develop an inverse model, which detailed the structural design and training process of the inverse model. This resulted in the achievement of precise prediction and control of the damper behaviour. Ultimately, the ANFIS inverse model was integrated with the designed ADRC controller to create an innovative control scheme for the seat suspension system of a two-degrees-of-freedom dynamic model, and a simulation analysis was conducted. The simulation results demonstrate that the root-mean-square (rms) value of the vertical vibration acceleration of the ADRC-controlled suspension system decreased by 68.9 % and 34.4 % in comparison to proportional–integral–derivative (PID) control and passive control, respectively. The rms value of the dynamic disturbance of the ADRC-controlled suspension system decreased by 50.0 % and 28.6 % compared to PID control and passive control, respectively. This verifies the performance of the proposed controller, particularly in the precise control of damping force, demonstrating outstanding effectiveness.