Key parameter selection of suspended monorail system based on vehicle–bridge dynamical interaction analysis

ABSTRACT

This study aims to select the proper key parameter values of suspended monorail system (SMS) by analysing the vehicle–bridge dynamical interaction. First, a coupled dynamical model of vehicle–bridge system is established by using ANSYS parameter design language (APDL). Further, the car-body accelerations obtained by the proposed model and field test are systematically analysed in frequency domain. A sensitive parameter influencing the vehicle ride comfort is identified. The key parameter value of the bridge is selected with the objective to improve the  vehicle-bridge vibration level. Finally, accounting the out-of-round tyre, the dynamical performance of vehicle and bridge is investigated under periodic harmonic disturbance, and proper values of secondary suspension parameters of vehicle subsystem are selected. Results show that the space between bridge stiffeners is a sensitive parameter that can aggravate the car-body acceleration. This space is finally suggested to be 1.2–1.4 m in order to effectively reduce the vehicle-bridge dynamical interaction. Controlling the vertical stiffness of secondary suspension to be less than 0.2 MN/m, the periodic harmonic disturbance can be effectively isolated. To ensure a reasonable vibration level of vehicle–bridge system suffering from periodic harmonic disturbance, the vertical damping of secondary suspension is suggested to be about 27 kN·s/m.

KEYWORDS:

• Suspended monorail system
• vehicle–bridge dynamical interaction
• sensitive parameter
• periodic harmonic disturbance
• field test

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (51708457, 51778194), the Science and Technology Project of Sichuan Province (grant number 2017GZ0082), the Program of Introducing Talents of Discipline to Universities (111 Project) (grant number B16041), the Funds from China Scholarship Council and the 2018 Doctoral Innovation Fund Program of Southwest Jiaotong University.