Recent research development of energy-absorption structure and application for railway vehicles

Gao, Guangjun; Zhuo, Tianyu; Guan, Weiyuan

doi:10.1007/s11771-020-4349-3

Cited by 28 publications

(4 citation statements)

References 151 publications

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“…108,109 Geophysical exploration technology is mainly based on the change of geophysical characteristics information in the high temperature area of the goaf, observing the change of indicators in the area to be measured by laying a survey network, and researching and determining the location and development status of the fire area. 110 Chemical exploration is to capture the abnormal chemical composition of the goaf through the instrument to release chemical substances, and use the special reaction of the substance to delineate the hightemperature region. 111 The drilling method mainly obtains the physical and chemical information on temperature, carbon monoxide, and coal rock or the environmental parameter characteristics of the final hole location through drilling coring analysis, and determines the state of the fire area based on comprehensive comparison and analysis.…”

Section: Research Progress Of Coal Fire Disaster Control Technologymentioning

confidence: 99%

Research Status and Development Trend of Coal Spontaneous Combustion Fire and Prevention Technology in China: A Review

Liu,

Wen,

Chen

et al. 2024

ACS Omega

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Coal seam spontaneous combustion fire is not only one of the main forms of the five major mine disasters, but also the main cause of secondary disasters such as mine gas and coal dust explosions. In recent years, with the advancement of mechanization, automation, and intelligent mine construction, spontaneous coal fires in mines have presented a series of new characteristics, and the prevention and control of spontaneous coal fires are also facing new challenges. On the basis of literature research, this paper summarizes and discusses the basic theory of coal spontaneous combustion, monitoring and early warning methods, and prevention and control technology, summarizes the development process of coal spontaneous combustion theory, reviews the research progress of coal spontaneous combustion monitoring and early warning methods and prevention and control technologies, and discusses the future development direction. In terms of the basic theory of spontaneous combustion of coal, from the initial hypothesis of spontaneous combustion of multielement coal to the unified understanding of coal-oxygen composite theory, a complete set of theoretical systems have been established, and a lot of macro and micro studies have been carried out and analyzed from multiple perspectives. In terms of coal spontaneous combustion monitoring and early warning, from the initial single indicator gas early warning to the construction of gas index system, the hierarchical early warning system is studied, and gradually tends to be perfect. With the development of automation and intelligence technology, the monitoring of coal spontaneous combustion disasters has also formed a new monitoring technology with beam tube monitoring as the traditional method, distributed optical fiber, wireless AD hoc network temperature measurement, and a coal spontaneous combustion multiparameter wireless monitoring system. In terms of fire prevention and control, the traditional “prevention” and “treatment” have changed to the “prevention–control–extinction” technical system based on hierarchical early warning, and the focus has gradually shifted to “prevention”, and a large number of antifire materials have been developed, including blocking materials and fire-fighting materials. However, the precise inhibition and control of coal spontaneous combustion disasters, the evolution model of coal spontaneous combustion under the conditions of multifactor coupling in the field, the reliability and stability of intelligent monitoring system, the noncontact detection method of fire source, and the collaborative adaptation of multiple prevention and control techniques are not yet clear. In the future development, the mechanism of spontaneous coal combustion and its evolution process and other basic theories should be deeply studied. On the basis of the mechanism optimization early warning method of spontaneous coal combustion process, flame retardant and fire prevention materials should be targeted and developed. On the basis of the spatiotemporal evolution of spontane...

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Section: Research Progress Of Coal Fire Disaster Control Technologymentioning

confidence: 99%

Research Status and Development Trend of Coal Spontaneous Combustion Fire and Prevention Technology in China: A Review

Liu,

Wen,

Chen

et al. 2024

ACS Omega

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“…In practice, energy-absorbing structures with a larger thickness and load-carrying capability are required in the railway industry. For example, railway vehicles have a larger mass than automobile equipment, which often leads to higher collision energies [48,49]. These energy-absorbing components are often required to carry a maximum average impact force of 500-2000 kN with wall thicknesses of 7-12 mm [50][51][52].…”

Section: Introductionmentioning

confidence: 99%

On Crashworthiness and Energy-Absorbing Mechanisms of Thick CFRP Structures for Railway Vehicles

Chen

Sun

Li³

et al. 2022

Polymers

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This study aims to provide important guidelines for the crashworthiness design of composite energy-absorbing structures, especially railway vehicles. An experimental and numerical investigation was carried out to explore the crushing response of circular composite tubes reinforced with plain woven carbon fiber-reinforced polymers (CFRP). Quasi-static and dynamic axial crushing tests were performed on CFRP tubes with an inner diameter of 100 mm and a nominal wall thickness of 12 mm. Experimental results showed that increasing loading velocity led to a 21.8% reduction in specific energy absorption (from 99.7 kJ/kg to 78.7 kJ/kg) but had negligible influence on failure modes. Finite element models were also established and validated against the experimental results using ABAQUS/Explicit software. The effects of several different parameters such as the number of shell layers, friction coefficient, and interface properties on the simulated results, were also investigated and analyzed. A small variation in these parameters could change the total energy absorption of CFRP tubes. The comparisons between the predicted and experimental results indicated that a finite element model with 10 shell layers could effectively replicate the crushing response. In addition, the simulated results indicated that the damage of tubal wall materials dominated the major energy-absorbing mechanisms of CFRP tubes under quasi-static loads, which was 69.1% of the total energy. The energy dissipated by friction effects between the loading platen and the crushed fronds was 24.1% of the total energy. The increase in the loading velocity led to a decrease in the composite damage energy except for friction energy, resulting in a decrease in the total energy absorption.

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“…Due to wear, high temperature exposure, misalignment, lack of sufficient lubrication, or particle contamination, faults frequently occur to bearing parts in the industrial environment. Once such fault appears, and might even cause dame to the whole system and eventually lead to immeasurable economic losses 2–5 . With the rapid and continuous improvements in automation and informationization of machinery and equipment, the data driven anomaly detection methods such as signal/image processing, intelligent diagnostics, data fusion techniques 6–9 have become key to fault recognition of rolling bearings in industry.…”

Section: Introductionmentioning

confidence: 99%

Anomaly detection in rolling bearings based on the Mel‐frequency cepstrum coefficient and masked autoencoder for distribution estimation

Xie

Liu

et al. 2022

Structural Contr & Hlth

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It is difficult to establish a classification and recognition model of machinery and equipment based on labeled samples in the actual industrial environment because of the imperfect fault modes and data missing. To solve this problem, a semisupervised anomaly detection method based on masked autoencoders of distribution estimation (MADE) is designed. First, the Mel-frequency cepstrum coefficient (MFCC) is employed to extract fault features from vibration signals of rolling bearings. Then, a group of mask matrices are set on each hidden layer to overcome the perfect reconstruction problem of the autoencoders' input, and the full-connection probability of reconstruction is used to replace the reconstruction error and adopted as the anomaly score. Finally, the diagnostic threshold is determined according to the Youden index. Experimental results show that the MADE method can extract fault-sensitive features from a noisy industrial environment and introduce mask matrices renders to make the network autoregressive, thus solving the problem of perfect reconstruction of autoencoders. It is verified based on three rolling bearing datasets that the accuracy, precision, recall, and F1-score of the proposed method are confirmed to be all 100%. Moreover, the accuracy of the proposed method is 17.19% higher than that of the memory-inhibition method on the rolling bearing dataset provided by the Center for Intelligent Maintenance Systems (IMS) in University of Cincinnati (USA). The accuracy of the proposed method is also improved compared with other state-of-the-art anomaly detection methods.

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Recent research development of energy-absorption structure and application for railway vehicles

Cited by 28 publications

References 151 publications

Research Status and Development Trend of Coal Spontaneous Combustion Fire and Prevention Technology in China: A Review

Research Status and Development Trend of Coal Spontaneous Combustion Fire and Prevention Technology in China: A Review

On Crashworthiness and Energy-Absorbing Mechanisms of Thick CFRP Structures for Railway Vehicles

Anomaly detection in rolling bearings based on the Mel‐frequency cepstrum coefficient and masked autoencoder for distribution estimation

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