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Journal articles on the topic 'Longitudinal dynamics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Spiryagin, Maksym, Qing Wu, and Colin Cole. "Longitudinal train dynamics." Vehicle System Dynamics 55, no. 4 (2017): 449. http://dx.doi.org/10.1080/00423114.2017.1285510.

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2

CLOVER, C. L., and J. E. BERNARD. "Longitudinal Tire Dynamics." Vehicle System Dynamics 29, no. 4 (1998): 231–60. http://dx.doi.org/10.1080/00423119808969374.

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3

Oleksij, Fomin, Lovska Alyona, Kovtun Oleksandr, and Nerubatskyi Volodymyr. "DEFINING PATTERNS IN THE LONGITUDINAL LOAD ON A TRAIN EQUIPPED WITH THE NEW CONCEPTUAL COUPLERS." Eastern-European Journal of Enterprise Technologies 2, no. 7 (104) (2020): 33–40. https://doi.org/10.15587/1729-4061.2020.198660.

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The longitudinal-dynamic load on a railroad train has been studied at its steady motion along the track of a homogeneous profile. A value of the longitudinal loading that a train is exposed to has been established. The calculations were carried out for a train consisting of 40 similar semi-wagons. The magnitude of the longitudinal loading, in this case, is taken to equal 1.2 MN. It is important to note that when increasing the motion speed, as well as the weight of a train, the magnitude of the longitudinal load may exceed the specified value. This contributes to the additional loadi

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4

CORNELIU, LAZAR, and TIGANASU ALEXANDRU. "Control-Oriented Models for vehicle longitudinal motion." Journal of Engineering Sciences and Innovation 3, no. 3 (2018): 251–64. http://dx.doi.org/10.56958/jesi.2018.3.3.251.

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The use of mathematical models is widespread both in simulating the dynamic behavior of vehicle longitudinal motion and in designing related controllers. This paper focuses on control-oriented models for longitudinal motion which better captured the plant dynamics for vehicles with internal combustion engines. Firstly, a review of some simplified models is presented and secondly, two more complex control-oriented models which take into account the powertrain dynamics are proposed.

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5

Wu, Qing, Maksym Spiryagin, and Colin Cole. "Longitudinal train dynamics: an overview." Vehicle System Dynamics 54, no. 12 (2016): 1688–714. http://dx.doi.org/10.1080/00423114.2016.1228988.

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6

Ansari, M., E. Esmailzadeh, and D. Younesian. "Longitudinal dynamics of freight trains." International Journal of Heavy Vehicle Systems 16, no. 1/2 (2009): 102. http://dx.doi.org/10.1504/ijhvs.2009.023857.

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7

Davydov, Yurii, and Maxim Keyno. "Longitudinal Dynamics in Connected Trains." Procedia Engineering 165 (2016): 1490–95. http://dx.doi.org/10.1016/j.proeng.2016.11.884.

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8

Müller, Hans-Georg, and Fang Yao. "Empirical dynamics for longitudinal data." Annals of Statistics 38, no. 6 (2010): 3458–86. http://dx.doi.org/10.1214/09-aos786.

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9

Zhu, Xiaowu, and Li Li. "On longitudinal dynamics of nanorods." International Journal of Engineering Science 120 (November 2017): 129–45. http://dx.doi.org/10.1016/j.ijengsci.2017.08.003.

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10

Colton, Eugene P. "Longitudinal dynamics in storage rings." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 258, no. 3 (1987): 508–14. http://dx.doi.org/10.1016/0168-9002(87)90934-x.

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11

Visaya, Maria Vivien, and David Sherwell. "Dynamics from Multivariable Longitudinal Data." Journal of Nonlinear Dynamics 2014 (March 19, 2014): 1–16. http://dx.doi.org/10.1155/2014/901838.

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We introduce a method of analysing longitudinal data in n≥1 variables and a population of K≥1 observations. Longitudinal data of each observation is exactly coded to an orbit in a two-dimensional state space Sn. At each time, information of each observation is coded to a point (x,y)∈Sn, where x is the physical condition of the observation and y is an ordering of variables. Orbit of each observation in Sn is described by a map that dynamically rearranges order of variables at each time step, eventually placing the most stable, least frequently changing variable to the left and the most frequent

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12

Lee, J. H., and Collaboration BRAHMS. "Probing Longitudinal Dynamics at RHIC." Acta Physica Hungarica A) Heavy Ion Physics 25, no. 2-4 (2006): 507–14. http://dx.doi.org/10.1556/aph.25.2006.2-4.42.

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13

Dattoli, G., L. Giannessi, and A. Renieri. "Storage-Ring FEL longitudinal dynamics." Optics Communications 123, no. 1-3 (1996): 353–62. http://dx.doi.org/10.1016/0030-4018(95)00445-9.

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14

Tremaine, Scott, and Tim de Zeeuw. "Stellar Dynamics of Needles." Symposium - International Astronomical Union 127 (1987): 493–94. http://dx.doi.org/10.1017/s0074180900185900.

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One dimensional “needles” are a limiting case of general triaxial stellar systems. Self-consistent, finite needles can have arbitrary longitudinal density distributions but have a fixed, universal distribution function. All needles are stable to all longitudinal perturbations but neutral to transverse perturbations.

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15

Li, Wenfei, Huiyun Li, Kun Xu, Zhejun Huang, Ke Li, and Haiping Du. "Estimation of Vehicle Dynamic Parameters Based on the Two-Stage Estimation Method." Sensors 21, no. 11 (2021): 3711. http://dx.doi.org/10.3390/s21113711.

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Vehicle dynamic parameters are of vital importance to establish feasible vehicle models which are used to provide active controls and automated driving control. However, most vehicle dynamics parameters are difficult to obtain directly. In this paper, a new method, which requires only conventional sensors, is proposed to estimate vehicle dynamic parameters. The influence of vehicle dynamic parameters on vehicle dynamics often involves coupling. To solve the problem of coupling, a two-stage estimation method, consisting of multiple-models and the Unscented Kalman Filter, is proposed in this pap

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16

Dai, Wei, Yongjun Pan, Chuan Min, Sheng-Peng Zhang, and Jian Zhao. "Real-Time Modeling of Vehicle’s Longitudinal-Vertical Dynamics in ADAS Applications." Actuators 11, no. 12 (2022): 378. http://dx.doi.org/10.3390/act11120378.

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The selection of an appropriate method for modeling vehicle dynamics heavily depends on the application. Due to the absence of human intervention, the demand for an accurate and real-time model of vehicle dynamics for intelligent control increases for autonomous vehicles. This paper develops a multibody vehicle model for longitudinal-vertical dynamics applicable to advanced driver assistance (ADAS) applications. The dynamic properties of the chassis, suspension, and tires are considered and modeled, which results in accurate vehicle dynamics and states. Unlike the vehicle dynamics models built

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17

Fauzi, Ahmad, Saiful Amri Mazlan, and Hairi Zamzuri. "Modeling and Validation of Quarter Vehicle Traction Model." Applied Mechanics and Materials 554 (June 2014): 489–93. http://dx.doi.org/10.4028/www.scientific.net/amm.554.489.

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This manuscript provides modeling and validation of a quarter car vehicle model to study the wheel dynamics behavior in longitudinal direction. The model is consists of a longitudinal slip model subsystem, a quarter body dynamic and tire subsystems. The quarter vehicle model was then validated using an instrumented experimental vehicle based on the driver input from brake and throttle pedals. Vehicle transient handling dynamic tests known as sudden braking test was performed for the purpose of validation. Several behaviors of the vehicle dynamics were observed during braking maneuvers such as

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18

Dietl, John M., and Ephrahim Garcia. "Stability in Ornithopter Longitudinal Flight Dynamics." Journal of Guidance, Control, and Dynamics 31, no. 4 (2008): 1157–63. http://dx.doi.org/10.2514/1.33561.

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19

MANSOUR, I., and M. KATARY. "SINGULAR PERTURBATIONS AND AIRCRAFT LONGITUDINAL DYNAMICS." International Conference on Applied Mechanics and Mechanical Engineering 2, no. 2 (1986): 193–201. http://dx.doi.org/10.21608/amme.1986.56820.

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20

Staszel, P. "Transverse and longitudinal dynamics at RHIC." Journal of Physics G: Nuclear and Particle Physics 35, no. 4 (2008): 044016. http://dx.doi.org/10.1088/0954-3899/35/4/044016.

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21

Bliss‡, Joan, Ian Morrison, and Jon Ogborn. "A longitudinal study of dynamics concepts." International Journal of Science Education 10, no. 1 (1988): 99–110. http://dx.doi.org/10.1080/0950069880100109.

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22

de Matteis, Guido. "Longitudinal dynamics of a towed sailplane." Journal of Guidance, Control, and Dynamics 16, no. 5 (1993): 822–29. http://dx.doi.org/10.2514/3.21088.

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23

Wickenheiser, Adam M., and Ephrahim Garcia. "Longitudinal Dynamics of a Perching Aircraft." Journal of Aircraft 43, no. 5 (2006): 1386–92. http://dx.doi.org/10.2514/1.20197.

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24

Fotakis, Jan A., Moritz Greif, Harri Niemi, Gabriel S. Denicol, and Carsten Greiner. "Longitudinal dynamics of multiple conserved charges." Nuclear Physics A 1005 (January 2021): 121899. http://dx.doi.org/10.1016/j.nuclphysa.2020.121899.

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25

Baek, Seung Ik, and Young Min Kim. "Longitudinal analysis of online community dynamics." Industrial Management & Data Systems 115, no. 4 (2015): 661–77. http://dx.doi.org/10.1108/imds-09-2014-0266.

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Purpose – The purpose of this paper is to explore the dynamics of an online community by examining its participants’ centrality measures: degree, closeness, and the betweenness centrality. Each centrality measure shows the different roles and positions of an individual participant within an online community. To be specific, this research examines how an individual participant’s role and position affects her/his information sharing activities within an online community over time. Additionally, it investigates the differences between two different online communities (a personal interest focussed

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26

Trinks, U. "Longitudinal particle dynamics in the Tritron." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 306, no. 1-2 (1991): 27–35. http://dx.doi.org/10.1016/0168-9002(91)90298-5.

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27

Galkina, E. G., B. A. Ivanov, and V. I. Butrim. "Longitudinal spin dynamics in nickel fluorosilicate." Low Temperature Physics 40, no. 7 (2014): 635–40. http://dx.doi.org/10.1063/1.4890989.

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28

Balucani, U., R. Vaia, A. Federighi, and V. Tognetti. "The dynamics of longitudinal spin fluctuations." Journal of Applied Physics 63, no. 8 (1988): 3820–22. http://dx.doi.org/10.1063/1.340624.

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29

Xu, Yan, Shi Yun Zhao, and Na Na Wang. "The Influences of the Load Distribution Pattern and the Position of the Locomotive on Train Longitudinal Dynamics." Applied Mechanics and Materials 496-500 (January 2014): 1063–67. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1063.

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According to the principle of the train longitudinal dynamics, the heavy haul longitudinal dynamics nonlinear model is established to analyze the influences of the load distribution pattern and the locomotive position on train longitudinal dynamics. The study of this paper is divided into two parts. The first, train model is composed by a locomotive and six trailers, researching the influences of the load distribution pattern on train longitudinal dynamics, the analysis results show that, the best load distribution pattern is the descending from head to tail of the train, in this case, the cou

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30

Abdullah, Muhammad, Syed Idros, Siti Fauziah Toha, and Mohamad Syazarudin Md Said. "Modelling of Vehicle Longitudinal Dynamics for Speed Control." Journal of Advanced Research in Applied Mechanics 123, no. 1 (2024): 56–74. http://dx.doi.org/10.37934/aram.123.1.5674.

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Longitudinal dynamics control is one of the essential tasks for an autonomous vehicle, where it deals with speed regulation to ensure smooth and safe operations. To design a good controller, a simple yet reliable mathematical model is needed so that it can be used as a plant and to tune the controller. Although there are many types of mathematical models available in the literature, finding the right one for control application is essential. The model cannot be too complex and can be too simple. Thus, the main objective of this work is to derive a simple yet reliable vehicle longitudinal model

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31

Retnowati, Nurcahyani Dewi, Buyung Junaidin, and Engelbertus Rande. "GLIDER MODEL FLYING DYNAMICS SIMULATION EAGE-X ON LONGITUDINAL MATRA." Vortex 3, no. 1 (2022): 59. http://dx.doi.org/10.28989/vortex.v3i1.1165.

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The Glider Eagle-X aircraft is an unmanned aircraft which is expected to fly with a height of 7 meters above the ground in Yogyakarta (120 m above sea level) with a flying speed of 10 m/s. In order for the Eagle-X glider to fly stably, it is necessary to analyze the flight stability of the Eagle-X glider model. Therefore, in this study, the analysis phase of static stability and dynamic response of disturbances in the longitudinal dimension was carried out. This can be useful for students so that they can better understand the analysis of static stability and dynamic response of disturbances i

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32

Nasir, Rizal E. M., Wahyu Kuntjoro, Wisnoe Wirachman, and Zurriati Ali. "Longitudinal Flight Dynamics of Baseline-II BWB UAV." Advanced Materials Research 433-440 (January 2012): 6636–40. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6636.

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The objective of this paper is to investigate longitudinal flight dynamics of the said aircraft at loitering flight condition near sea level. Three mathematical dynamic models are used to compute transient response of Baseline-II E-2 BWB along with a proposed model known as Model-N. Model-N is derived to incorporate as many important derivatives, including gravitational and pitch angle factor, as possible. While all these four dynamic models are different in a sense where one model is more simple or complex than the others, the basic architecture of all these models are the same. This paper sh

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33

Tong, Shengxiang, Zhiwei Shi, Tao Yun, and Yizhang Dong. "Longitudinal flight dynamics modeling and a flight stability analysis of a monocopter." AIP Advances 12, no. 11 (2022): 115322. http://dx.doi.org/10.1063/5.0130626.

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A monocopter, which is a biology-inspired aircraft based on the samara, has been proved to have passive flight stability. However, due to the asymmetry of its configurations and the constant rotation during flight, its flight dynamics equation is complex. In this paper, the longitudinal stability of a monocopter is systematically analyzed. The longitudinal motion of the monocopter is used as the main research object in this paper. By transforming the body axis coordinate frame to the semi-body axis coordinate frame, its longitudinal dynamics equation is greatly simplified. Then, a fourth-order

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34

Liu, Jinglong, Zhonghua Wu, Xiaowen Xing, and Qizhi He. "Barrier Lyapunov function and disturbance observer based omnidirectional robust gust response stabilization for multi-control-effectors aircraft." Aircraft Engineering and Aerospace Technology 92, no. 6 (2020): 777–99. http://dx.doi.org/10.1108/aeat-08-2019-0168.

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Purpose The purpose of this paper is to find an omnidirectional robust gust response stabilization (GRS) scheme with anti-disturbance and state-limited features. Design/methodology/approach Disturbance observer and barrier Lyapunov techniques, which can, respectively, estimate the lumped disturbances of the dynamic system in real-time and ensure the middle states within some prescribed ranges according to some flight safety indexes. Findings In the existing literature, almost all of the GRS controllers are either only for the longitudinal dynamics or only for the latitudinal dynamics. Few stud

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35

Shi, Jin, Shujing Ren, and Mengran Zhang. "MODEL-BASED ASSESSMENT OF LONGITUDINAL DYNAMIC PERFORMANCE AND ENERGY CONSUMPTION OF HEAVY HAUL TRAIN ON LONG-STEEP DOWNGRADES." Transport 34, no. 3 (2019): 250–59. http://dx.doi.org/10.3846/transport.2019.9043.

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Longitudinal dynamics performance and energy consumption of heavy haul train should be considered in the design of heavy haul railway profile of long-steep downgrades. A quantitative analytical tool is developed to assess the longitudinal dynamic performance and energy consumption of heavy haul trains with large axle loads on grades with different longitudinal profiles, including a longitudinal dynamic model of the train and a method of calculating the energy consumption during the operation of heavy haul train. The model is then preliminarily validated by the data of coupler force collected i

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36

Krishna, Visakh V., Mats Berg, and Sebastian Stichel. "Tolerable longitudinal forces for freight trains in tight S-curves using three-dimensional multi-body simulations." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 5 (2019): 454–67. http://dx.doi.org/10.1177/0954409719841794.

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With the need for increasing length of freight trains, the longitudinal train dynamics and its influence on the running safety become a key issue. Longitudinal train dynamics is a complex issue with contributions from both the vehicle and the operating conditions such as infrastructure design, braking regimes, etc. Standards such as the UIC Code 530-2 and EN-15839 detail the procedure for on-track propelling tests that should be conducted to determine the running safety of a single wagon. Also, it only considers a single S-curve and specifies neighbouring wagons and buffers. Hence, the resulti

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37

Zuo, Shuguang, Duoqiang Li, Yu Mao, and Wenzhe Deng. "Longitudinal vibration analysis and suppression of electric wheel system driven by in-wheel motor considering unbalanced magnetic pull." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 11 (2018): 2729–45. http://dx.doi.org/10.1177/0954407018806118.

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With the blowout of electric vehicles recently, the key parts of the electric vehicles driven by in-wheel motors named the electric wheel system become the core of development research. The torque ripple of the in-wheel motor mainly results in the longitudinal dynamics of the electric wheel system. The excitation sources are first analyzed through the finite element method, including the torque ripple induced by the in-wheel motor and the unbalanced magnetic pull produced by the relative motion between the stator and rotor. The accuracy of the finite element model is verified by the back elect

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38

Kaur, Harvinder, Anil Kumar Bhalla, and Praveen Kumar. "Longitudinal growth dynamics of term symmetric and asymmetric small for gestational age infants." Anthropologischer Anzeiger 74, no. 1 (2017): 25–37. http://dx.doi.org/10.1127/anthranz/2016/0640.

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39

Polyakov, Vladislav A., and Nikolai M. Khachapuridze. "Magnetically levitated train’s longitudinal motion (Simulation results)." Transportation Systems and Technology 4, no. 3 (2018): 143–53. http://dx.doi.org/10.17816/transsyst201843143-153.

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Background: The no-stationary regimes of the magnetically levitated train’s (MLT) motion were the object of research. Aim: The purpose of the study is to evaluate its dynamic qualities and loading in such regimes. Methods: The work was carried out by conducting a series of experiments with a computer model of train’s dynamics. Results: The simulation results reflect its motion in the modes of acceleration, passage of the tunnel, as well as service and emergency braking. Conclusion: An analysis of these results made it possible to evaluate the dynamic properties of a tra

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40

Tianwei, Qu, Ma Weihua, Wu Dong, and Luo Shihui. "Influence of Coupler and Buffer on Dynamics Performance of Heavy Haul Locomotive." Open Mechanical Engineering Journal 9, no. 1 (2015): 1033–38. http://dx.doi.org/10.2174/1874155x01509011033.

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Aimed at the safety problem of the locomotive under the dynamic braking condition, this paper analyzes the influence of the coupler and buffer system. The coupler reposition methods of the large rotation angle coupler and the small rotation angle coupler under longitudinal coupler press force were compared. The influence of coupler and buffer system to the dynamics performance of locomotive was researched through dynamic simulation. Results show that the longitudinal coupler press force afforded by large rotation angle coupler with coupler shoulder, is larger than that of small rotation angle

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41

Kudryshev, Sergey B., Valentin S. Minakov, Alexey A. Zakaluyzhnyy, and Vladimir A. Peglivanyan. "Dynamics of transformation of ultrasonic vibrations in twisted waveguides." MATEC Web of Conferences 226 (2018): 04019. http://dx.doi.org/10.1051/matecconf/201822604019.

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The effective use of ultrasound energy in various technological processes largely depends on the type of ultrasonic vibrations. Wide application in practice has found longitudinal ultrasonic fluctuations in connection with simplicity of realization, and also presence of the developed theoretical and settlement base. The longitudinal-torsional ultrasonic oscillations, the realization of which practically does not differ from the realization of longitudinal oscillations, and the efficiency and technological flexibility are much higher than for longitudinal or torsional ultrasonic oscillations, p

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42

Ding, Li Fen, and Ji Long Xie. "Research on the Effect of Traction Tonnage on Train Longitudinal Impact." Key Engineering Materials 450 (November 2010): 466–69. http://dx.doi.org/10.4028/www.scientific.net/kem.450.466.

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The traction tonnage has important effect on train longitudinal impact. An integrated model of train longitudinal dynamics was established based on simulation and test results. The effect of the traction tonnage on train longitudinal dynamics was investigated through modeling different types of heavy-haul trains. The model was validated by using measured longitudinal force time histories from on-track tests. Case study shows that the traction tonnage has significant influence on train longitudinal impact; Train longitudinal force increases with traction tonnage. The relationships between the m

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43

Mohammed, Tariq O., Xiang Jin Wu, and Dao Chun Li. "Nonlinear Simulation of Aircraft Longitudinal Flight Dynamics." Applied Mechanics and Materials 444-445 (October 2013): 753–58. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.753.

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The purpose of this paper is to simulate flight path of Boeing-747 for longitudinal motion at selected flight conditions using 6 DoF (Degrees of freedom) nonlinear equations with MATLAB and SIMULINK. The equations are solved to compute the flight path within 100 seconds of Boeing 747 at three flight conditions, for cruise flight with different Mach numbers at same altitudes, and then Mach number at high altitude with MATLAB programming (ode45). Simulation results for different conditions are presented and analyzed.

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44

Driesch, Patrick, Kai Andre Horwat, Niko Maas, and Dieter Schramm. "Modeling the Longitudinal Dynamics of Terminal Tractors." ATZheavy duty worldwide 14, no. 2 (2021): 48–53. http://dx.doi.org/10.1007/s41321-021-0424-4.

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45

Taha, Haithem E., Muhammad R. Hajj, and Ali H. Nayfeh. "Longitudinal Flight Dynamics of Hovering MAVs/Insects." Journal of Guidance, Control, and Dynamics 37, no. 3 (2014): 970–79. http://dx.doi.org/10.2514/1.62323.

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46

Da Lio, Mauro, Daniele Bortoluzzi, and Gastone Pietro Rosati Papini. "Modelling longitudinal vehicle dynamics with neural networks." Vehicle System Dynamics 58, no. 11 (2019): 1675–93. http://dx.doi.org/10.1080/00423114.2019.1638947.

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47

Stogin, J., T. Sen, and R. S. Moore. "Longitudinal dynamics and tomography in the Tevatron." Journal of Instrumentation 7, no. 01 (2012): T01001. http://dx.doi.org/10.1088/1748-0221/7/01/t01001.

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48

Zdravković, S., M. V. Satarić, and S. Zeković. "Nonlinear dynamics of microtubules —A longitudinal model." EPL (Europhysics Letters) 102, no. 3 (2013): 38002. http://dx.doi.org/10.1209/0295-5075/102/38002.

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49

Iskrenovic-Momcilovic, Olivera. "Sliding Mode Control for Longitudinal Aircraft Dynamics." Journal of Automation, Mobile Robotics and Intelligent Systems 12, no. 3 (2018): 55–60. http://dx.doi.org/10.14313/jamris_3-2018/18.

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50

Berry, Donald T. "National aerospace plane longitudinal long-period dynamics." Journal of Guidance, Control, and Dynamics 14, no. 1 (1991): 205–6. http://dx.doi.org/10.2514/3.20623.

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