Advances in Dynamics of Vehicles on Roads and Tracks III : Proceedings of the 28th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2023, August 21–25, 2023, Ottawa, Canada - Volume 1: Rail Vehicles / edited by Wei Huang, Mehdi Ahmadian.

Format:

Book

Author/Creator:

Huang, Wei.

Contributor:

Ahmadian, Mehdi.

Series:

Lecture Notes in Mechanical Engineering, 2195-4364

Language:

English

Subjects (All):

Railroad engineering.

Dynamics.

Nonlinear theories.

Transportation engineering.

Traffic engineering.

Rail Vehicles.

Applied Dynamical Systems.

Transportation Technology and Traffic Engineering.

Local Subjects:

Rail Vehicles.

Applied Dynamical Systems.

Transportation Technology and Traffic Engineering.

Physical Description:

1 online resource (1281 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This book offers a timely snapshot of research and development in rail vehicle dynamics. Gathering a set of peer-reviewed contributions to the 28th Symposium of the International Association of Vehicle System Dynamics (IAVSD), which was held on August 21–25, 2023 in Ottawa, Canada, this first volume of the proceedings covers a broad range of topics relating to rail vehicles. Topics covered include modelling and simulation as well as design, control, and monitoring of rail vehicles and strategies to improve safety, performance, and ride comfort, among others. Overall, this book provides academics and professionals with a timely reference on state-of-the-art theories and methods that can be used to understand, analyze, and improve rail vehicle safety and performance in a wide range of operating conditions. .

Contents:

Preface

Organization

Contents

Multi-band Fault Feature Extraction of Rail Vehicle Axle-Box Bearing Under Multi-source Interferences

1 Introduction

2 Proposed Method

3 Verification with Train Axle-Box Bearing Fault Signals

4 Conclusions

References

Advances in Long Train-Track Dynamics Modelling

2 Method

3 Simulation Results

4 Conclusion

A Machine Learning Approach for Predicting Railway In-Train Forces from ATO Measurements

2 LTD Modelling and Data Collection

3 Machine Learning Predictive Model

4 Predictive Results

5 Conclusions

On Seismic Analysis of a High‑Speed Train Travelling over a High‑Pier Bridge

2 Train-Track-High Pier Bridge Dynamic Interactions Under the Seismic Action

3 Ground Motion Simulation

4 Numerical Analyses

Research on Hinge Load of Upper Arm Based on Rigid-Flexible Hybrid Model of Pantograph Considering Spatial Characteristic Generated by AI.

Notes:

Part of the metadata in this record was created by AI, based on the text of the resource.

Description based on publisher supplied metadata and other sources.

ISBN:

9783031669712

3031669711

OCLC:

1467880459