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An Experimental Investigation into the Difference in the External Noise Behavior of a High-Speed Train between Viaduct and Embankment Sections

open access: yesShock and Vibration, 2022
Track construction is likely to exert a significant effect on railway environmental noise. In this study, a detailed comparative investigation was conducted to analyze the differences in the external noises generated by a Chinese high-speed train passing
Muxiao Li   +5 more
doaj   +1 more source

Optimisation Method for Determination of Crack Tip Position Based on Gauss-Newton Iterative Technique

open access: yesChinese Journal of Mechanical Engineering, 2021
In the digital image correlation research of fatigue crack growth rate, the accuracy of the crack tip position determines the accuracy of the calculation of the stress intensity factor, thereby affecting the life prediction.
Bing Yang   +7 more
doaj   +1 more source

A rigid–flexible coupling finite element model of coupler for analyzing train instability behavior during collision

open access: yesRailway Engineering Science, 2023
Rail vehicles generate huge longitudinal impact loads in collisions. If unreasonable matching exists between the compressive strength of the intermediate coupler and the structural strength of the car body, the risk of car body structure damage and train
Jingke Zhang   +7 more
doaj   +1 more source

Improved Dynamics Model of Locomotive Traction Motor with Elasticity of Rotor Shaft and Supporting Bearings

open access: yesChinese Journal of Mechanical Engineering, 2022
The locomotive traction motor is described as a rotor-bearing system coupling the kinetic equations of the traction shaft and its support bearings with the determination of their elastic deformations in this study. Under the effect of excitations induced
Yuqing Liu   +4 more
doaj   +1 more source

Parameters Calibration of the GISSMO Failure Model for SUS301L-MT

open access: yesChinese Journal of Mechanical Engineering, 2023
With the development of the rail transit industry, more attention has been paid to the passive safety of rail vehicles. Structural damage is one of the main failure behaviors in a rail vehicle collision, but it has been paid little attention to in past ...
Tao Zhu   +6 more
doaj   +1 more source

Structural Stress–Fatigue Life Curve Improvement of Spot Welding Based on Quasi-Newton Method

open access: yesChinese Journal of Mechanical Engineering, 2020
∆F-N curves are usually used to predict the fatigue life of spot welding in engineering, but they are time-consuming and laborious and not universal. For the purpose of predicting the fatigue life of spot welding accurately and efficiently, tensile–shear
Yahang Qin   +5 more
doaj   +1 more source

Stochastic Analysis on the Resonance of Railway Trains Moving over a Series of Simply Supported Bridges

open access: yesShock and Vibration, 2021
Resonance problems encountered in vehicle-bridge interaction (VBI) have attracted widespread concern over the past decades. Due to system random characteristics, the prediction of resonant speeds and responses will become more complicated.
Tao Zhang   +4 more
doaj   +1 more source

Numerical simulation and optimization on opening angles of aerodynamic braking plates sets for a maglev train

open access: yesAdvances in Aerodynamics, 2023
The aerodynamic braking has become an attractive option with the continuous improvement of train speeds. The study aims to obtain the optimal opening angles of multiple sets of braking plates for the maglev train.
Xiaofei Wang   +6 more
doaj   +1 more source

Competitive Failure of Bolt Loosening and Fatigue under Different Preloads

open access: yesChinese Journal of Mechanical Engineering, 2021
Existing research on the competitive failure relationship, failure mechanism, and influencing factors of bolt loosening and fatigue under different preloads is insufficient.
Guangwu Yang   +4 more
doaj   +1 more source

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

open access: yesChinese Journal of Mechanical Engineering, 2023
Machine learning (ML) has powerful nonlinear processing and multivariate learning capabilities, so it has been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that are difficult to apply in engineering ...
Shuwei Zhou   +4 more
doaj   +1 more source

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