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Integrated modeling and simulation of vehicle and human multi-body dynamics for comfort assessment in railway vehicles

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Abstract

An integrated vehicle-biodynamic model is developed in this article by using multi-domain energy domain bond graph model simulation and multi-body simulation software ADAMS VI-Rail. These models are specifically used to evaluate passenger ride comfort in a railway vehicle where vertical and lateral excitations at the wheels arise out of the track irregularities. In the bond graph model, the carbody of the railway vehicle is treated as an Euler-Bernoulli beam and its first five modes are included in the model. Thereafter, a detailed model of the railway vehicle is created in ADAMS VI-Rail. The International Organization for Standardization (ISO) 2631 specification is used to determine the passenger comfort for different travel durations and track irregularities.

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Correspondence to Arun Kumar Samantaray.

Additional information

Recommended by Associate Editor Sungsoo Na

Smitirupa Pradhan received her B.E. degree in mechanical engineering from BPUT, Bhubaneswar in 2004, and M.Tech. degree in mechanical systems design from IIT Kharagpur in 2012. She taught at various engineering colleges from 2004 to 2012. She is currently pursuing Ph.D. at IIT Kharagpur. Her research interests are modeling, simulation and control of engineering systems, vehicle dynamics, and systems engineering.

Arun Kumar Samantaray received his B.Sc. (Engg.) degree in mechanical engineering from CET, Bhubaneswar in 1989, and M.Tech. and Ph.D. degrees from IIT Kharagpur in machine dynamics and rotor dynamics, respectively, in 1991 and 1996. He did post-doctoral research at Polytech’ Lille from 2001 to 2004. Currently, he is a Full Professor at IIT Kharagpur. His research interests are systems and control, vehicle dynamics, robotics, and non-linear mechanics.

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Pradhan, S., Samantaray, A.K. Integrated modeling and simulation of vehicle and human multi-body dynamics for comfort assessment in railway vehicles. J Mech Sci Technol 32, 109–119 (2018). https://doi.org/10.1007/s12206-017-1212-z

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  • DOI: https://doi.org/10.1007/s12206-017-1212-z

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