Impact vibration behavior of railway vehicles: a state-of-the-art overview

Jing, Lin; Wang, Kaiyun; Zhai, Wanming

doi:10.1007/s10409-021-01140-9

Cited by 64 publications

(9 citation statements)

References 138 publications

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“…The air brake system is a fundamental piece of equipment for railway trains, which plays an important role in speed regulation during routine operations and the quick brake stop under emergency conditions. For conventional long freight trains, the performance of the air brake system affects intrain forces remarkably, which further influences the running safety of trains [1][2][3]. Due to the large scale of the system, the cost of a full-scale test platform is high, and numerical simulation techniques are widely adopted to study air brake systems.…”

Section: Introductionmentioning

confidence: 99%

An approach for simulating the air brake system of long freight trains based on fluid dynamics

Chen

Ling

et al. 2022

Rail. Eng. Science

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Air brake systems are critical equipment for railway trains, which affects the running safety of the trains significantly. To study air braking characteristics of long freight trains, an approach for simulating air brake systems based on fluid dynamics theory was proposed. The structures and working mechanisms of locomotive and wagon air brakes are introduced, and mathematical models of the pipes, brake valves, reservoirs or chambers, cylinders, etc., are presented. Besides, the dynamic motions of parts in the main valve are considered. The simulation model of the whole air brake system is then formulated, and the solving method based on the finite-difference method is used. New efficient pipe boundary conditions without iterations are developed for brake pipes and branch pipes, which can achieve higher computational efficiency. The proposed approach for simulating the air brake system is validated by comparing with published measured data. Simulation results of different train formations indicate that models that consider the dynamic behavior of brake pipes are recommended for predicting the characteristics of long trains under service braking conditions.

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Section: Introductionmentioning

confidence: 99%

An approach for simulating the air brake system of long freight trains based on fluid dynamics

Chen

Ling

et al. 2022

Rail. Eng. Science

Self Cite

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“…In this section, the influence of fastening failures on train-curved slab track interaction dynamics is studied. The number of failed fastenings with n = 1 F , 3, 5, and 7 [11] with only fatigue fracture of the clip structure are considered in this study at first. Vehicle speed is chosen to V = 350 km/h to start with.…”

Section: Study On the Influence Of Fastening Failures On Train-track ...mentioning

confidence: 99%

“…Xiao et al [10] investigated the influence of failed fastening systems on the train derailment behavior, where the fastening failure is mainly modeled as the decreasing of fastening stiffness and damping. Jing et al [11] introduced the recent studies on the impact vibration behavior of railway vehicles, where the influence of fastening failure on train-track interaction dynamics is discussed. Morales-Ivorra et al [12] studied the influence of fastening failure in curved track on the derailment risk of passenger train and freight train.…”

Section: Introductionmentioning

confidence: 99%

Reduced-order modeling of train-curved-slab-track dynamics with the effects of fastening failures

Liu

Yang

et al. 2022

Acta Mech. Sin.

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Fastening failures have frequently been found on China high-speed railway curved tracks in recent years. Thus the influence of fastening failures on high-speed train-track interaction in curved track needs to be analyzed. A train-curved slab track interaction model is built, in which the real shape of the curved rail is considered and modeled with reduced beam model (RBM) and curved beam theory, and the slabs are modeled with four-nodes Kirchhoff-Love plate elements. The present model is validated at first with different traditional models. Then the influence of fastening failure in curved slab track on train-track interaction dynamics is studied. A different number of failed fastenings is assumed to occur at the curved track, and different types of fastening failure including the fatigue fracture of the clip structure and failure of the rail pad are considered. Based on the calculation results, the fatigue fracture of the clip structure has little influence on train-track interaction dynamics. But when rail pad failure happens and its equivalent vertical stiffness and damping are less than one-tenth of its original, the fastening failure seriously affects the highspeed train operation safety, and it must be prevented.

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“…The operating mileage of China’s high-speed railway has exceeded 42,000 km [ 1 ], and it has changed to the long-term operation and maintenance stage from the large-scale construction stage [ 2 ]. It is more and more critical to manage and maintain the large-scale high-speed track lines [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Collaborative Damage Detection Framework for Rail Structures Based on a Multi-Agent System Embedded with Soft Multi-Functional Sensors

Cheng

Yao

Yang

et al. 2022

Sensors

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With the rapid growth of railways in China, the focus has changed to the maintenance of large-scale rail structures. Multi-agent systems (MASs) based on wireless sensor network (WSNs) with soft multi-functional sensors (SMFS) are adopted cooperatively for the structural health monitoring of large-scale rail structures. An MAS framework with three layers, namely the sensing data acquisition layer, sensor data processing layer, and application layer, is built here for collaborative data collection and processing for a rail structure. WSN nodes with strain, temperature, and piezoelectric sensor units are developed for the continuous structural health monitoring of the rail structure. The feature data at different levels are extracted for the online monitoring of the rail structure. Experiments carried out at the Rail Transmit Base at East China Jiaotong University verify that the WSN nodes with SMFS are successfully assembled onto a 100-m-long track for damage detection. Based on the sensing data and feature data, a neural network data fusion agent (DFA) is applied to calculate the damage index value of the track for comprehensive decisions regarding rail damage. The use of WSNs with multi-functional sensors and intelligent algorithms is recommended for cooperative structural health monitoring in railways.

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Impact vibration behavior of railway vehicles: a state-of-the-art overview

Cited by 64 publications

References 138 publications

An approach for simulating the air brake system of long freight trains based on fluid dynamics

An approach for simulating the air brake system of long freight trains based on fluid dynamics

Reduced-order modeling of train-curved-slab-track dynamics with the effects of fastening failures

Collaborative Damage Detection Framework for Rail Structures Based on a Multi-Agent System Embedded with Soft Multi-Functional Sensors

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