Comprehensive Evaluation Study of Multiple Comfort for High-Speed Train

Wang, Hai Yong; Wang, Xiao Ming; Dang, Jian Wu

doi:10.4028/www.scientific.net/amm.571-572.312

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…However, major differences still exist in the definition of the uncomfortable range. Wang (2014) believed that a weighted acceleration range between 0.315 and 0.8 is comfortable and meets the comfort requirements of passengers traveling on high-speed trains. In his evaluation of a type of passenger seat, Zhang et al (2019) considered that a total weighted acceleration greater than 0.315 was in the uncomfortable range.…”

Section: Vibration Comfort Rating For Aircraftmentioning

confidence: 99%

Optimization of landing gear under consideration of vibration comfort for civil aircraft

Yan,

Xue,

Liu

et al. 2024

AEAT

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Purpose This study aims to investigate the design and optimization of landing gear buffers to improve the landing-phase comfort of civil aircraft. Design/methodology/approach The vibration comfort during the landing and taxiing phases is calculated and evaluated based on the flight-testing data for a type of civil aircraft. The calculation and evaluation are under the guidance of the vibration comfort standard of GB/T13441.1-2007 and related files. The authors establish here a rigid-flexible coupled multibody dynamics finite element model of one full-size aircraft. Furthermore, the authors also implement a dynamic simulation for the landing and taxiing processes. Also, an analysis of how the main parameters of the buffers affect the vibration comfort is presented. Finally, the optimization of the single-chamber and double-chamber buffers in the landing gear is performed considering vibration comfort. Findings The double-chamber buffer with optimized parameters in landing gear can improve the vibration comfort of the aircraft during the landing and taxiing phases. Moreover, the comfort index can be increased by 25.6% more than that of a single-chamber type. Originality/value To the best of the authors’ knowledge, this study first investigates the evaluation methods and evaluation indexes on the aircraft vibration comfort, then further conducts the optimization of the parameters of landing gear buffer with different structures, so as to improve the comfort of aircraft passengers during landing process. Most of the current studies on aircraft landing gear have focused on the strength and safety of the landing gear, with very limited research on cabin vibration comfort during landing and subsequent taxiing because of the coupling of runway surface unevenness and airframe vibration.

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Section: Vibration Comfort Rating For Aircraftmentioning

confidence: 99%

Optimization of landing gear under consideration of vibration comfort for civil aircraft

Yan,

Xue,

Liu

et al. 2024

AEAT

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“…In the traditional Drosophila algorithm, the initial position of the Drosophila population is pseudorandom number, which makes the initial position of the individuals assigned to the Drosophila population uneven, so that the optimal solution may have errors. Based on this, the Cubic chaotic map (Cubic) is adopted to enhance the diversity of Drosophila population initialization, and its formula is shown in (1).…”

Section: Enhancing Initial Drosophila Population Diversitymentioning

confidence: 99%

“…The comfort evaluation of high-speed trains is a comprehensive evaluation centered on passengers, including line, operating environment and passenger service [1,2] .Domestic studies on comfort evaluation mainly adopt analytic hierarchy process and fuzzy comprehensive evaluation as evaluation methods in relevant literature [3][4][5] . The most representative formula abroad is Sperling [6] stationary index formula in Germany, which has been widely used.…”

Section: Introductionmentioning

confidence: 99%

High speed train ride comfort evaluation method based on IFOA-BPNN

Zhang

Zhi-we

2023

International Conference on Computer Vision, Application, and Algorithm (CVAA 2022)

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In order to improve the effectiveness of the comprehensive evaluation of passenger riding comfort of high-speed trains, and simplify the complexity of the evaluation process, it can guide the optimization design of high-speed trains to a certain extent. In this paper, a comprehensive evaluation comfort degree model based on improved Drosophila algorithm and back propagation neural network (IFOA-BPNN) is proposed. The Drosophila algorithm is improved by using chaos mapping the initial position of Drosophila population and changing the search step of flies in different periods to search for the optimal initial weight value and threshold of BPNN. According to the index evaluation data collected, the weight of the index was comprehensively calibrated from both subjective and objective aspects, and the ride comfort of the high-speed train was pre-analyzed by fuzzy comprehensive evaluation. Then the IFOA-BPNN model is used to evaluate the riding comfort of high-speed trains. The results of experiments and comparison with other different models show that the IFOA-BPNN model has reduced the mean square error (MSE), mean absolute error (MAE) and other indexes, and can effectively evaluate the comfort degree of passengers.

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Comprehensive Evaluation Study of Multiple Comfort for High-Speed Train

Cited by 2 publications

References 1 publication

Optimization of landing gear under consideration of vibration comfort for civil aircraft

Optimization of landing gear under consideration of vibration comfort for civil aircraft

High speed train ride comfort evaluation method based on IFOA-BPNN

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