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Sharma, Rakesh Chandmal
- Ride Analysis of an Indian Railway Coach Using Lagrangian Dynamics
Abstract Views :204 |
PDF Views:2
Authors
Affiliations
1 Maharishi Markendeshwar University, Mullana, Ambala, IN
1 Maharishi Markendeshwar University, Mullana, Ambala, IN
Source
International Journal of Vehicle Structures and Systems, Vol 3, No 4 (2011), Pagination: 219-224Abstract
This paper details a coupled vertical-lateral 37 degrees of freedom mathematical model of an Indian Railway general sleeper ICF coach is formulated using Lagrangian dynamics. In this analysis, the vertical and lateral irregularities of railway track are incorporated as a random function of time. The simulated results are compared with the experimental data obtained through actual rail vehicle testing. The ride comfort is evaluated incorporating ISO 2631-1 standard.Keywords
Ride Analysis, Rail Vehicle, Lagrangian Dynamics, Passenger Comfort, Power Spectral Density.- Recent Advances in Railway Vehicle Dynamics
Abstract Views :192 |
PDF Views:2
Authors
Affiliations
1 Maharishi Markandeshwar University, Mullana (Ambala), IN
1 Maharishi Markandeshwar University, Mullana (Ambala), IN
Source
International Journal of Vehicle Structures and Systems, Vol 4, No 2 (2012), Pagination: 52-63Abstract
In this paper, the state of the art of railway vehicle dynamics is presented. Much of the attention is paid to the performance characteristics such as lateral stability, curving, multibody simulation, wheel to track interaction, ride quality and comfort. The scope and limitations of linear and nonlinear analyses for vehicle dynamics are reviewed. Two and three dimensional theories for wheel-to-track interaction are discussed. Detailed analysis of ride quality and comfort evaluation methods is presented. Some concluding remarks are discussed along with further directions of research in the railway vehicle dynamics.Keywords
Railway Vehicle Dynamics, Performance Indices, Lateral Stability, Ride Comfort, Creep Forces.- Sensitivity Analysis of Ride Behaviour of Indian Railway Rajdhani Coach Using Lagrangian Dynamics
Abstract Views :226 |
PDF Views:125
Authors
Affiliations
1 Maharishi Markandeshwar University, Mullana, Ambala, IN
1 Maharishi Markandeshwar University, Mullana, Ambala, IN
Source
International Journal of Vehicle Structures and Systems, Vol 5, No 3-4 (2013), Pagination: 84-89Abstract
In this paper, the ride analysis of Rajdhani coach is undertaken using 37 degrees of freedom vertical-lateral coupled vehicle-track model that is formulated using Lagrangian dynamics. The vehicle is considered to be moving along a straight track at a constant speed of 130 kmph. The simulated results of ride behaviour are compared with the experimental data. A sensitivity analysis is carried out in order to investigate the influence of mass and moment of inertia of car body, suspension stiffness, damping coefficient and wheel base on the ride behaviour.Keywords
Ride Behaviour, Sensitivity Analysis, Rail Vehicle, Lagrangian Dynamics, Vertical Ride, Lateral Ride.- Stability and Eigenvalue Analysis of an Indian Railway General Sleeper Coach Using Lagrangian Dynamics
Abstract Views :177 |
PDF Views:2
Authors
Affiliations
1 Maharishi Markandeshwar University, Mullana, Ambala, IN
1 Maharishi Markandeshwar University, Mullana, Ambala, IN
Source
International Journal of Vehicle Structures and Systems, Vol 5, No 1 (2013), Pagination: 9-14Abstract
This research paper determines the eigenvalues of main rigid bodies i.e. car body, bolsters, bogie frames and wheel axles of a 37 DoF coupled vertical-lateral model of a General Sleeper ICF coach of Indian Railway formulated using Lagrangian dynamics. The primary and secondary hunting speeds of the railway vehicle are determined to investigate the dynamic stability. Critical parameters which influence the railway vehicle dynamic stability are analysed.Keywords
Railway Vehicle, Eigenvalue, Dynamic Stability, Hunting Speed, Lagrangian Dynamics.- Challenges in Rail Vehicle-Track Modeling and Simulation
Abstract Views :274 |
PDF Views:194
Authors
Affiliations
1 Centre for Transportation Systems, Indian Institute of Technology, Roorkee, IN
2 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
3 Mech. Engg. Dept., Indian Institute of Technology, Roorkee, IN
4 Mech. Engg. Dept., Aditya Institute of Technology and Management, Tekkali, IN
1 Centre for Transportation Systems, Indian Institute of Technology, Roorkee, IN
2 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
3 Mech. Engg. Dept., Indian Institute of Technology, Roorkee, IN
4 Mech. Engg. Dept., Aditya Institute of Technology and Management, Tekkali, IN
Source
International Journal of Vehicle Structures and Systems, Vol 7, No 1 (2015), Pagination: 1-9Abstract
Rail vehicle-track modeling and simulations, in past many years is developed a long way from its origins as a research tool. This paper presents an overview of the current features and applications for components of rail vehicle-track dynamic modeling and few challenges which these applications find while doing the simulations. This paper discusses appropriate modeling choices for different applications and analyse the best practice for the optimum performance of suspension components, wheel-rail contact conditions and modeling inputs such as track geometry.Keywords
Vehicle Dynamics, Modeling and Simulation, Rail Vehicle, Suspension Components, Track Models.- Dynamic Analysis of Indian Railway Integral Coach Factory Bogie
Abstract Views :289 |
PDF Views:156
Authors
Affiliations
1 Mech. Engg. Dept., Aditya Institute of Technology and Management, Tekkali, IN
2 Mech. Engg. Dept., Andhra University, College of Engineering, Visakhapatnam, IN
3 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
1 Mech. Engg. Dept., Aditya Institute of Technology and Management, Tekkali, IN
2 Mech. Engg. Dept., Andhra University, College of Engineering, Visakhapatnam, IN
3 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
Source
International Journal of Vehicle Structures and Systems, Vol 7, No 1 (2015), Pagination: 16-20Abstract
Dynamic response of railway coach is a key aspect in the design of coach. Indian railway sleeper and 3 tier AC coaches consist of two railway bogies, where the central distance of the center of gravity between the bogies is 14.9 m. Analysis of railway bogie forms a basis for investigating the behaviour of the coach as a whole. The current work carried out is, vehicle dynamic response in terms of Eigen frequency modal analysis and harmonic analysis of a Indian railway 6 Ton Integral Coach Factory (ICF) bogie using finite element (FE) method. The entire bogie model is discretized using solid92 tetrahedral elements. The primary and secondary suspension systems are modelled as COMBIN14 elements in the FE model of the bogie. Modal analysis of the bogie model using Block Lanczos method in ANSYS is carried out to extract first few natural modes of vibration of the bogie. The roll mode frequency attained in Modal analysis is in good agreement with the fundamental frequency calculated analytically. Sinusoidal excitation is fed as input to bottom wheel points to analyse the harmonic response of the bogie in terms of displacement at different salient locations. Harmonic response results reveal that the bogie left and right locations are more vulnerable than the locations near the centre of gravity of the bogie.Keywords
Dynamic Response, Modal Analysis, Harmonic Analysis, Finite Element Model, ANSYS.- Evaluation of Passenger Ride Comfort of Indian Rail and Road Vehicles with ISO 2631-1 Standards Part 1-Mathematical Modelling
Abstract Views :275 |
PDF Views:170
Authors
Affiliations
1 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
1 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
Source
International Journal of Vehicle Structures and Systems, Vol 8, No 1 (2016), Pagination: 1-6Abstract
Ride quality and ride comfort are the most important performance indices of road or rail vehicles and is affected by various factors, such as vibrations, acoustics, smell, temperature, visual stimuli, humidity and seat design. Among these vibration is a dominant factor that influences the performance indices the most. In this work the coupled vertical-lateral mathematical models of Indian rail and road vehicles have been formulated using Lagrangian. The roadway vehicles considered for this analysis are three wheel and light four wheel Indian passenger vehicle. The rail vehicles considered for this analysis are General sleeper ICF coach of Indian railway.Keywords
Ride Comfort, ISO 2631; Lagrangian Method, Vehicle Model, Frequency Weightings.- Evaluation of Passenger Ride Comfort of Indian Rail and Road Vehicles with ISO 2631-1 Standards:Part 2-Simulation
Abstract Views :258 |
PDF Views:151
Authors
Affiliations
1 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
1 Mech. Engg. Dept., Maharishi Markandeshwar University, Mullana, IN
Source
International Journal of Vehicle Structures and Systems, Vol 8, No 1 (2016), Pagination: 7-10Abstract
In this paper ride comfort of Indian road and rail vehicle is evaluated using ISO 2631-1 comfort specifications. A three wheel vehicle, light four wheel vehicle and general sleeper ICF coach of Indian railway have been evaluated on the basis of 1 hr, 2.5 hrs, 4 hrs and 8 hrs ISO 2631 comfort specifications in seated position as these are the normal duration for passengers. An insight to comfortable ride duration for these vehicles is presented in this paper.Keywords
Ride Comfort, ISO 2631, Weighted RMS Acceleration, Vehicle Model, Frequency Weightings.- Stress and Vibrational Analysis of an Indian Railway RCF Bogie
Abstract Views :277 |
PDF Views:177
Authors
Affiliations
1 Mech. Engg. Dept., Maharishi Markandeshwar (Deemed to be University) Mullana, IN
2 Mech. Engg. Dept., AITAM, Tekkali, Andhra Pradesh, IN
3 Mech. Engg. Dept., Andhra University College of Engg., Visakhapatnam, Andhra Pradesh, IN
1 Mech. Engg. Dept., Maharishi Markandeshwar (Deemed to be University) Mullana, IN
2 Mech. Engg. Dept., AITAM, Tekkali, Andhra Pradesh, IN
3 Mech. Engg. Dept., Andhra University College of Engg., Visakhapatnam, Andhra Pradesh, IN
Source
International Journal of Vehicle Structures and Systems, Vol 9, No 5 (2017), Pagination: 296-302Abstract
In the present work, static and dynamic finite element analyses are carried out on an Indian railway 6 ton RCF sleeper bogie. The geometrical CAD model of railway vehicle has been developed in UG-NX7.5 and has been exported to ANSYS12.1 package where finite element modelling and the required static and dynamic analyses have been performed. For dynamic response, modal, harmonic and transient dynamic analyses are carried out. First few natural modes of vibration of the bogie are extracted in Eigen frequency analysis and it is observed that the roll mode attained at a frequency which is well matched with the fundamental natural frequency calculated analytically. The harmonic peaks obtained are matching well with the natural frequencies obtained in modal analysis. Response to the ground excitation when the bogie passes over a bump is simulated in transient analysis.Keywords
Railway Bogie, Static Analysis, Transient Analysis, Finite Element Modelling, Laden Sleeper, Unladen Sleeper.- Modernization of Railway Track with Composite Sleepers
Abstract Views :469 |
PDF Views:426
Authors
Affiliations
1 Mech. Engg. Dept., Maharishi Markandeshwar (Deemed to be University) Mullana, IN
2 Mech. Engg. Dept., AITAM, Tekkali, Andhra Pradesh, IN
3 Dept. of Mech. Engg, Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, IN
1 Mech. Engg. Dept., Maharishi Markandeshwar (Deemed to be University) Mullana, IN
2 Mech. Engg. Dept., AITAM, Tekkali, Andhra Pradesh, IN
3 Dept. of Mech. Engg, Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, IN
Source
International Journal of Vehicle Structures and Systems, Vol 9, No 5 (2017), Pagination: 321-329Abstract
Railway sleeper is an important component of railway network. Its clamping is also a critical issue in order to avoid any slippage and to maintain the alignment or cross level. Earlier, railway network used wooden sleepers worldwide. Further steel sleepers in parallel with wooden sleepers have been employed. Both are replaced with concrete sleepers with the advancements. With the modernization, the idea of railway sleepers with fibre composite materials has been introduced which is accepted worldwide due to its unique features over any other type of sleeper. This paper discuss about different composite material sleepers and review the important features associated with them i.e. composition, properties, advantages and limitations.Keywords
Railway Sleeper, Wooden Sleeper, Steel Sleeper, Concrete Sleeper, Composite Sleeper, FFU Synthetic Sleeper.- Simulation of Quarter-Car Model with Magnetorheological Dampers for Ride Quality Improvement
Abstract Views :285 |
PDF Views:161
Authors
Affiliations
1 Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, IN
2 Dept. of Mech. Engg.,Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, IN
1 Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, IN
2 Dept. of Mech. Engg.,Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, IN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 3 (2018), Pagination: 169-173Abstract
A semi-active suspension system using Magnetorheological (MR) damper overcomes all the inherent limits of passive and active suspension systems and combines the advantages of both. This paper gives a concise introduction to the suspension system of a passenger vehicle which is presented along with the analysis of semi-active suspension system using MR fluid dampers based on Bingham model. MR dampers are filled with MR fluids whose properties can be controlled by applying voltage signal. To further prove the statement, a quarter car model with two degrees of freedom has been used for modeling the suspension system the sprung mass acceleration of passive suspension system has been compared with the semi-active suspension system using the Bingham model for MRF damper. Simulink/MATLAB is used to carry out the simulation. The results drawn show that the semi-active suspension system performed better than the passive suspension system in terms of vehicle stability.Keywords
Magnetorheological Damper, Active Suspension, Ride Quality, Bingham Model, Simulink Model.References
- B.G. Christensen, J.B. Ferris and J.L. Stein. 2000. An energy-enhanced design of experiments method applied to multi-body models, Proc. ASME Int. Mech. Engg. Congr. Expo, Orlando, USA.
- K. Hemanth, H. Kumar and K.V. Gangadharan. 2017. Vertical dynamic analysis of a quarter car suspension system with MR damper, J. Brazilian Soc. Mech. Sci. Engg., 39, 41-51. https://doi.org/10.1007/s40430-015-0481-7.
- K. Hyniova, A. Stribrsky, J. Honcu and A. Kruczek. 2009. Active suspension system - energy control, Proc. IFAC, 42, 146-152. https://doi.org/10.3182/20090921-3-TR-3005.00027.
- A. Kjellberg. 1990. Psychological aspects of occupational vibration, Scand. J. Work Environ. Heal., 16, 39-43. https://doi.org/10.5271/sjweh.1824.
- M. Yu, C.R. Liao, W.M. Chen and S.L. Huang. 2006. Study on MR semi-active suspension system and its road testing, J. Intell. Mater. Syst. Struct., 17, 801-806. https://doi.org/10.1177/1045389X06057534.
- R.C. Sharma. 2013. Stability and eigenvalue analysis of an Indian railway general sleeper coach using Lagrangian dynamics, Int. J. Vehicle Structures & Systems, 5(1), 9-14. https://doi.org/10.4273/ijvss.5.1.02.
- R.C. Sharma. 2012. Recent advances in railway vehicle dynamics, Int. J. Vehicle Structures & Systems, 4(2), 52-63. https://doi.org/10.4273/ijvss.4.2.04.
- S.K. Sharma, R.C. Sharma, A. Kumar and S. Palli. 2015. Challenges in rail vehicle-track modeling and simulation, Int. J. Vehicle Structures & Systems, 7(1), 1-9. https://doi.org/10.4273/ijvss.7.1.01.
- S.K. Sharma, A. Kumar and R.C. Sharma. 2014. Challenges in railway vehicle modeling and simulations, Proc. Int. Conf. Newest Drift Mech. Engg., 20-21, Ambala, India, 453-459.
- S.K. Sharma and A. Kumar. 2017. Ride performance of a high speed rail vehicle using controlled semi active suspension system, Smart Mater. Struct., 26, 55026. https://doi.org/10.1088/1361-665X/aa68f7.
- S.K. Sharma and A. Kumar. 2017. Disturbance rejection and force-tracking controller of nonlinear lateral vibrations in passenger rail vehicle using magnetorheological fluid damper, J. Intell. Mater. Syst. Struct., 29(2), 279-297. https://doi.org/10.1177/1045389X17721051.
- S.K. Sharma and A. Kumar. 2017. Ride comfort of a higher speed rail vehicle using a magnetorheological suspension system, IMechE J. Multi-Body Dyn., 232(1), 32-48. https://doi.org/10.1177/1464419317706873.
- S.K. Sharma and A. Kumar. 2016. The impact of a rigidflexible system on the ride quality of passenger bogies using a flexible carbody, Proc. 3rd Int. Conf. Railw. Tech. Res. Dev. Maintenance, UK.
- S.K. Sharma and A. Kumar. 2017. Impact of electric locomotive traction of the passenger vehicle ride quality in longitudinal train dynamics in the context of Indian railways, Mech. Ind., 18, 222. https://doi.org/10.1051/meca/2016047.
- F. Weber. 2014. Semi-active vibration absorber based on real-time controlled MR damper, Mech. Syst. Signal Process, 46, 272-288. https://doi.org/10.1016/j.ymssp.2014.01.017.
- C. Yang, X. Jiao, L. Li, Y. Zhang and Z. Chen. 2018. A robust H ∞ control-based hierarchical mode transition control system for plug-in hybrid electric vehicle, Mech. Syst. Signal Process, 99, 326-44. https://doi.org/10.1016/j.ymssp.2017.06.023.
- S.G. Braun. 2017. Signal processing and control challenges for smart vehicles, Mech. Syst. Signal Process, 87, 1-3. https://doi.org/10.1016/j.ymssp.2016.11.016.
- J. Soukup, J. Skočilas and B. Skočilasová. 2017. Assessment of railway wagon suspension characteristics, Mech. Syst. Signal Process, 89, 67-77. https://doi.org/10.1016/j.ymssp.2016.08.022.
- K. Sim, T. Park, W. Kim and J. Lee. 2013. A study on ride improvement of a high speed train using Skyhook control, Proc. 3rd Int. Conf. Mech. Prod. Automob. Engg.,Bali, 72-76.
- Z. Fan, H. Zeng, J. Yang and J. Li. 2011. Study on decreasing vibration of high-speed train semi-active suspension system, Adv. Mater. Res., 230-232, 1104-1109. https://doi.org/10.4028/www.scientific.net/AMR.230-232.1104.
- Y.C. Cheng, C.H. Chen and C.T. Hsu. 2016. Derailment and dynamic analysis of tilting railway vehicles moving over irregular tracks under environment forces, Int. J. Struct. Stab. Dyn.,. https://doi.org/10.1142/S0219455417500985.
- R. Ceravolo, G.V. Demarie and S. Erlicher. 2007. Instantaneous identification of Bouc-Wen-type hysteretic systems from seismic response data, Key Engg. Mater., 347, 331-338. https://doi.org/10.4028/www.scientific .net/KEM.347.331.
- R. Ceravolo, M.L. Pecorelli and L.Z. Fragonara. 2016. Semi-active control of the rocking motion of monolithic art objects, J. Sound Vib., 374, 1-16. https://doi.org/10.1016/j.jsv.2016.03.038.
- R. Ceravolo, E. Matta, A. Quattrone, C. Surace and L.Z. Fragonara. 2012. On-line identification of time-varying systems equipped with adaptive control, J. Phys. Conf. Ser., 382, 12038. https://doi.org/10.1088/1742-6596/382/1/012038
- O.S. Bursi, L. Vulcan, W. Salvatore and L. Nardini. 2004. Identification and control of structural systems, Prog. Comput. Struct. Technol., 171-200.
- C.G. Deng, O.S. Bursi and R. Zandonini. 2000. A hysteretic connection element and its applications, Comput. Struct., 78, 93-110. https://doi.org/10.1016/S0045-7949(00)00070-5.
- E. Matta, R. Ceravolo, A. de Stefano, A. Quattrone, L.Z. Fragonara. 2013. Unscented Kalman filter for non-linear identification of a new prototype of bidirectional tuned vibration absorber: A numerical investigation, Key Engg. Mater., 569-570, 948-955. https://doi.org/10.4028/www.scientific.net/KEM.569-570.948.
- R. Ceravolo, N. Tondini, G. Abbiati and A. Kumar. 2012. Dynamic characterization of complex bridge structures with passive control systems, Struct. Control Heal. Monit., 19, 511-534. https://doi.org/10.1002/stc.450.
- Rail Vehicle Modelling and Simulation using Lagrangian Method
Abstract Views :299 |
PDF Views:145
Authors
Affiliations
1 Mech. Engg. Dept., Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, IN
2 Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, IN
3 Mech. Engg. Dept., AITAM, Tekkali, Andra Pradesh, IN
1 Mech. Engg. Dept., Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, IN
2 Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, IN
3 Mech. Engg. Dept., AITAM, Tekkali, Andra Pradesh, IN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 3 (2018), Pagination: 188-194Abstract
Formulation of vehicle dynamics problem is dealt either with Newton’s method or Lagrange’s method. This paper provides a broad understanding of Lagrange’s method applied to railway vehicle system. The Lagrange’s method of analytical dynamics provides a complete set of equations through differentiations of a function called Lagrangian function which includes kinetic and potential energy with respect to independent generalised coordinates assigned to the system. This paper also discusses rigid body rotational dynamics along with the concept of generalised coordinates (constrained and un-constrained) and generalised forces in detail.Keywords
Lagrangian Function, Euler’s Angle, Newton’s Method, Generalized Forces, Generalized Coordinates, Body Fixed Axes.References
- R.C. Sharma and K.K. Goyal. 2017. Improved suspension design of Indian railway general sleeper ICF coach for optimum ride comfort, J. Vibration Engineering & Technologies, 5(6), 547-556.
- R.C. Sharma. 2011. Ride analysis of an Indian railway coach using Lagrangian dynamics, Int. J. Vehicle Structures & Systems, 3(4), 219-224. http://dx.doi.org/10.4273/ijvss.3.4.02.
- R.C. Sharma. 2013. Stability and eigenvalue analysis of an Indian railway general sleeper coach using Lagrangian dynamics, Int. J. Vehicle Structures & Systems, 5(1), 9-14. http://dx.doi.org/10.4273/ijvss.5.1.02.
- R.C. Sharma. 2017. Ride, eigenvalue and stability analysis of three-wheel vehicle using Lagrangian dynamics, Int. J. Vehicle Noise & Vibration, 13(1), 13-25. https://doi.org/10.1504/IJVNV.2017.086021.
- R.C. Sharma and S. Palli. 2016, Analysis of creep force and its sensitivity on stability and vertical-lateral ride for railway vehicle, Int. J. Vehicle Noise and Vibration, 12(1), 60-76. https://doi.org/10.1504/IJVNV.2016.077474.
- R.C. Sharma. 2012. Recent advances in railway vehicle dynamics, Int. J. Vehicle Structures & Systems, 4(2), 52-63. http://dx.doi.org/10.4273/ijvss.4.2.04.
- J.H. Ginsberg 1988, Advanced Engineering Dynamics, Harper and Row, New York.
- H. Baruh. 1999, Analytical Dynamics, McGraw Hill, New York.
- C.O. Chang, C.S. Chou, and S.Z. Wang. 1991. Design of a Viscous ring Nutation Damper for a Freely Precessing Body, J. Guid. Control Dyn., 14, 1136–1144.https://doi.org/10.2514/3.20768.
- W.T. Thompson. 1961. Introduction to Space Dynamics, John Wiley and Sons, New York.
- Goldstein, Herbert, 1965, Classical Mechanics, Addison-Wesley Publishing Company, New York.
- D.C. Rapaport. 1985. Molecular dynamics simulation using Quaternions, J. Comput. Phys., 41, 306-314. https://doi.org/10.1016/0021-9991(85)90009-9.
- Greenwood and T. Donald. 1988, Principles of Dynamics, Prentice Hall, Englewood Cliffs, New Jersey.
- M. Nitschke and E.H. Knickmeyer. 2000. Rotation parameters-a survey of techniques, J. Surv. Eng., 126, 83-105. https://doi.org/10.1061/(ASCE)0733-9453(2000)126:3(83).
- M.D. Shuster. 1993. A survey of attitude representations, J. Astronautically Sci., 41, 531-543.
- K.W. Spring. 1986. Euler parameters and the use of quaternion algebra in the manipulation of finite rotations: A review, Mechanism and Machine Theory, 21, 365-373. https://doi.org/10.1016/0094-114X(86)90084-4.
- P.E. Nikravesh and I.S. Chung. 1982. Application of Euler parameters to the dynamic analysis of three dimensional constrained mechanical systems, J. Mech. Des., 104, 785-791. https://doi.org/10.1115/1.3256437.
- P.E. Nikravesh, R.A. Wehage and O.K. Kwon. 1985. Euler parameters in computational kinematics and dynamics: Part 1, J. Mechanisms, Transmissions and Automation Design, 107, 358-365. https://doi.org/10.1115/1.3260722.
- P.E. Nikravesh, O.K. Kwon, and R.A. Wehage. 1985. Euler parameters in computational kinematics and dynamics: Part 2, J. Mechanisms, Transmissions and Automation Design, 107, 366-369. https://doi.org/10.1115/1.3260723.
- P.E. Nikravesh. 1988. Computer Aided Analysis of Mechanical Systems, Prentice Hall, Englewood Cliffs, New Jersey.
- S.R. Vadali. 1988. On the Euler Parameter Constraint, J. Astronaut. Sci., 36, 259-265. https://doi.org/10.2514/6.1988-670.
- Jr. Morton and S. Harold. 1993. Hamiltonian and Lagrangian formulations of rigid body rotational dynamics based on Euler parameters, J. Astronaut. Sci., 41, 561-5991.
- R.C. Sharma. 2010. Coupled vertical-lateral dynamics of railway vehicle. PhD dissertation Thesis, MIED, IIT Roorkee.
- R.C. Sharma. 2016. Evaluation of passenger ride comfort of Indian rail and road vehicles with ISO 2631-1 standards: Part 1 - Mathematical modeling, Int. J. Vehicle Structures & Systems, 8(1), 1-6. https://doi.org/10.4273/ijvss.8.1.01.
- R.C. Sharma. 2016. Evaluation of passenger ride comfort of Indian rail and road vehicles with ISO 2631-1 standards: Part 2 - Simulation, Int. J. Vehicle Structures and Systems, 8(1), 7-10. https://doi.org/10.4273/ijvss.8.1.02.
- S.K. Sharma and A. Kumar. 2017. Impact of electric locomotive traction of the passenger vehicle ride quality in longitudinal train dynamics in the context of Indian railways, Mechanics & Industry, 18(2), 222. https://doi.org/10.1051/meca/ 2016047.
- S.K. Sharma and A. Kumar. 2017. Ride performance of a high speed rail vehicle using controlled semi active suspension system, Smart Materials and Structures, 26(5), 55026.
- S.K. Sharma and A. Kumar. 2017. Ride comfort of a higher speed rail vehicle using a magnetorheological suspension system, Proc. IMechE, Part K: J. Multi-body Dynamics, 232(1), 32-48. https://doi.org/10.1177/1464419317706873
- S. K. Sharma, R.C. Sharma, A. Kumar and S. Palli, 2015. Challenges in rail vehicle-track modelling and simulation. Int. J. Vehicle Structures and Systems, 7(1), 1-9. http://dx.doi.org/10.4273/ijvss.7.1.01.
- A Review on Dynamic Analysis of Rail Vehicle Coach
Abstract Views :363 |
PDF Views:221
Authors
Affiliations
1 Mechanical Engineering Dept., AITAM, Tekkali, Andhra Pradesh, IN
2 Mechanical Engineering Department, Andhra University College of Engineering, Andhra Pradesh, IN
3 Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, IN
4 Mechanical Engineering Department, Maharishi Markandeshwar (Deemed to be University), Mullana, IN
1 Mechanical Engineering Dept., AITAM, Tekkali, Andhra Pradesh, IN
2 Mechanical Engineering Department, Andhra University College of Engineering, Andhra Pradesh, IN
3 Dept. of Mech. Engg, Amity School of Engg. and Tech., Amity University, Uttar Pradesh, Noida, IN
4 Mechanical Engineering Department, Maharishi Markandeshwar (Deemed to be University), Mullana, IN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 3 (2018), Pagination: 204-211Abstract
Railway vehicle is one of the rigorously developing passenger and goods carrier in the past few centuries. Dynamic behaviour of the railway coach is a vital aspect in its design and also in terms of passenger safety and ride comfort. Dynamic response includes both deterministic and probabilistic analyses. Modal, harmonic and transient dynamic analysis is part of deterministic analyses, whereas random response using spectrum methods and power spectral density (PSD) is a probabilistic approach. This paper is an attempt to cover various modelling and simulation methods of the railway bogie and coach adopted by various researchers to understand the dynamic behaviour of the railway coach. Further, the research findings of various dynamic parameters obtained theoretically and practically against different inputs like sinusoidal and random inputs to the car body have been discussed. This forms a basis in understanding the development of railway coach design when one is interested in carrying out free and forced vibration analysis on the coach, as well as assists to optimize various design parameters of components like bogie, car body and suspension elements in terms of vehicle dynamics.Keywords
Railway Coach, Review, Dynamic Analysis, Modelling, Simulation, Wheel-Rail System.References
- A.H. Wickens. 2006. A history of railway vehicle dynamics, Handbook of Railway Vehicle Dynamics, 5-39.
- P.T. Broersen. 1976. Evaluation of Railway Systems Dynamics by Model Adjustment, Doctoral Thesis, Dept. of Mech. Engg., Delft University of Tech., WTHD 79.
- H. True and J.C. Jensen. 1994. Chaos and asymmetry in railway vehicle dynamics, Periodica Polytechnica Ser. Transp. Engg., 22(1), 55-68.
- E.C. Slivsgaard. 1995. On The Interaction Between Wheels and Rails in Railway Dynamics, PhD Thesis, Inst. of Math. Modelling, Technical University of Denmark.
- A. Cai and G.P. Raymond 1992. Theoretical model for dynamic wheel/rail and track interaction, Proc. 10th Int. Wheelset Congress, Sydney, Australia.
- J.C.O. Nielsen and A. Igeland. 1995. Vertical dynamic interaction between train and track - influence of wheel and track imperfections, J. Sound and Vibration, 187(5), 825-839. https://doi.org/10.1006/jsvi.1995.0566.
- W. Zhai and X. Sun. 1993. A detailed model for investigating interaction between railway vehicle and track, Proc. 13th IAVSD Symp., 603-614.
- Y.Q. Sun and M. Dhanasekar. 2002. A dynamic model for the vertical interaction of the rail track and wagon system, Int. J. Solids and Structures, 39, 1337-1359. https://doi.org/10.1016/S0020-7683(01)00224-4.
- C. Andersson and T. Abrahamsson. 2002. Simulation of interaction between a train in general motion and a track, Vehicle System Dynamics, 38(6), 433-455. https://doi.org/10.1076/vesd.38.6.433.8345.
- W.M. Zhai, K. Wang and C. Cai. 2009. Fundamentals of vehicle-track coupled dynamics, Vehicle System Dynamics, 47(11), 1349-1376. https://doi.org/10.1080/00423110802621561.
- R.C. Sharma. 2011. Ride analysis of an Indian railway coach using Lagrangian dynamics, Int. J. Veh. Structures & Systems, 3(4), 219-224. http://dx.doi.org/10.4273/ijvss.3.4.02.
- R.C. Sharma. 2013. Sensitivity analysis of ride behaviour of Indian railway Rajdhani coach using Lagrangian dynamics, Int. J. Vehicle Structures & Systems, 5(3), 84-89. https://doi.org/10.4273/ijvss.5.3.02.
- H. Tsunashima. 2003. Dynamics of automated guide way transit vehicle with single-axle bogies, Int. J. Vehicle Mechanics & Mobility, Vehicle System Dynamics, 39(5), 365-397. https://doi.org/10.1076/vesd.39.5.365.14146.
- R. Žygienė, M. Bogdevičius and L. Dabulevičienė. 2014. A mathematical model and simulation results of the dynamic system railway vehicle wheel-track with a wheel flat, Civil and Transport Engg., 6(5), 531-537.
- K. Popp, I. Kaiser, H. Kruse. 2003. System dynamics of railway vehicles and track, Archive of Applied Mechanics, 72, 949-961.
- B.H. Kumar, B.S. Kumar and C. Sujatha. 2005. Lateral dynamic analysis of a typical Indian rail-road vehicle, Proc. 12th National Conf. Machines and Mechanisms, IIT Guwahati, 208-214.
- K.V. Gangadharan, C. Sujatha, V. Ramamurti, 2004. Experimental and analytical ride comfort evaluation of a railway coach, 249, Proc. IMAC-XXII Conf. & Exposition on Structural Dynamics, Dearborn, Michigan.
- A. Stribersky, F. Moser and W. Rulka. 2002. Structural dynamics and ride comfort of a rail vehicle system, Advances in Engg., Software, 33, 541-552.
- K. Popp, K. Knothe and C. Pöpper. 2005. System dynamics and long-term behaviour of railway vehicles, track and subgrade: report on the DFG Priority Programme in Germany and subsequent research, Int. J. Vehicle Mechanics and Mobility, Vehicle System Dynamics, 43(6), 485-521. https://doi.org/10.1080/00423110500143728.
- S.S. Deshpande, S. Srikari, V.K. Banthia, K. Jagadeesh and N. Chowdhary. 2010. Investigation of effects of different braking systems on rail wheel spalling, Sastech. J., 9(2), 1-10.
- A. Cera, G. Mancini, V. Leonardi and L. Bertini. 2008. Analysis of methodologies for fatigue calculation for railway bogie frames, Proc. World Congress on Railway Research, UIC 2008, R.1.1.3.2.
- H.S. Han and J.S. Koo. 2003. Simulation of train crashes in three dimensions, Int. J. Vehicle Mechanics and Mobility, Vehicle System Dynamics, 40(6), 435-450. https://doi.org/10.1076/vesd.40.6.435.17906.
- R.C. Sharma and S. Palli and R. Koona. 2017. Stress and vibrational analysis of an Indian railway RCF bogie, Int. J. Vehicle Structures and Systems, 9(5), 296-302. http://dx.doi.org/10.4273/ijvss.9.5.06.
- S.K. Sharma and A. Kumar. 2016. Dynamics analysis of wheel-rail contact using FEA, Procedia Engg., 144, 1119-1128. https://doi.org/10.1016/j.proeng.2016.05.076.
- S.K. Sharma, R.C. Sharma, A. Kumar and S. Palli. 2015. Challenges in rail vehicle-track modeling and simulation, Int. J. Vehicle Structures and Systems, 7(1), 1-9. https://doi.org/10.4273/ijvss.7.1.01.
- S. Palli, R. Koona, R.C. Sharma and V. Muddada. 2015. Dynamic analysis of Indian railway Integral Coach Factory bogie, Int. J. Vehicle Structures & Systems, 7(1), 16-20. http://dx.doi.org/10.4273/ijvss.7.1.03.
- S. Palli and R. Koona. 2015. Analyses of dynamic response of a railway bogie, Int. J. Vehicle Noise and Vibration, 11(2), 103-113.
- U. Nackenhorst. 1993. On the finite element analysis of steady state rolling contact, Trans. Engg., Sci., 1, 53-60.
- B. Zastrau, U. Nackenhorst and J. Jarewski. 1997. On the computation of elastic-elastic rolling contact using adaptive finite element techniques, Trans. Engg. Sci., 14, 129-138.
- S. Damme, U. Nackenhorst, A. Wetzel and B.W. Zastrau. 2003. On the numerical analysis of wheel-rail system in rolling contact, System Dynamics and Long-Term Behaviour of Railway Vehicles, Track And Subgrade, Springer, 155-174.
- P.S. Paul, M.D.M. Gift, C.P. Jawar and N.R. Sakthivel. 2002. Finite element analysis of bogie frame, Proc. 18th National Convention of Mech. Engg., 331-338.
- K. Ramji, V.K. Goel, S. Rao and M.K. Naidu. 2007. Dynamic behaviour of railway coach and bogie frame using finite element analysis, J. The Institution of Engineers Part MC, 87, 7-17.
- J.J. Kalker. 1990. Three-Dimensional Elastic Bodies in Rolling Contact, Kluwer Academic Publishers. https://doi.org/10.1007/978-94-015-7889-9.
- J. Pombo and J. Ambrósio. 2005. Dynamic analysis of a railway vehicle in real operation conditions using a new wheel-rail contact detection model, Int. J. Vehicle Systems Modelling and Testing, 1(1/2/3), 79-105.
- V. Kumar and V. Rastogi. 2009. Investigation of vertical dynamic behaviour and modelling of a typical Indian rail road vehicle through bond graph, World J. Modelling and Simulation, 5(2), 130-138.
- P. Ghate, S.R. Shankapal and M.H.M. Gowda. 2012. Failure investigation of a freight locomotive suspension spring and redesign of the spring for durability and ride index, Sastech J., 11(2), 23-29.
- L. Sebesan and Y. Zakaria. 2014. Analysing the static behavior of a bogie frame by comparing two methods of simulations, Applied Mech. & Materials, 659, 243-249.
- A. Gugliotta, A. Soma, P. Arrus and A. Lombardi. 1997. Simulation of rail dynamics at Politecnico of Torino, Proc. 12Mth European Adams Users Conf., Marburg.
- G. Lu and K.F. Gill. 1993. Track-transmission system dynamic analysis, Proc. IMechE Part F: J. Rail & Rapid Transit, 207, 99-113. https://doi.org/10.1243/PIME_PROC_1993_207_234_02.
- S.K. Agrawal, Dr. G. Narayanan, C. Sujatha, A.M. Prasad. 2011. Rail-wheel interaction an investigation, Proc. National Tech. Seminar of IPWE, Banglore, India.
- R.C. Sharma. 2013. Stability and eigenvalue analysis of an Indian railway general sleeper coach using Lagrangian dynamics, Int. J. Vehicle Structures & Systems, 5(1), 9-14. http://dx.doi.org/10.4273/ijvss.5.1.02.
- V.K. Garg and R.V. Dukkipati 1984. Dynamics of Railway Vehicle Systems, Academic Press, Canada.
- R.N. Iyengar and O.R. Jaiswal. 1995. Random field modelling of railway track irregularities, J. Transportation Engg., 121(4), 304-308. https://doi.org/ 10.1061/(ASCE)0733-947X(1995)121:4(303).
- V.K. Goel, M. Thakur, K. Deep and B.P. Awasthi. 2005. Mathematical model to represent the track geometry variation using PSD, Indian Railway Technical Bulletin, 312-313, 1-10.