Non-Linear Dynamic Techniques v. Equivalent Conicity Methods For Rail Vehicle Stability Assessment

This paper is to record a special discussion meeting held on 26th August 2003 during the 18th 1AVSD Symposium in Atsugi, Kanagawa, Japan, with the particular objective of answering the question “Should we use the term Equivalent Conicity?”. The subject is introduced, the subsequent discussion is documented, and some final conclusions and recommendations are given.

Authors

Institutions

Publication Details

Published
2026-01-30
DOI
https://doi.org/10.1201/9781003760825-81
Citations
17
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-Linear Dynamic Techniques v. Equivalent Conicity Methods For Rail Vehicle Stability Assessment

Simon Iwnicki, R.M. Goodall
17 citations
Railway Engineering and Dynamics
article

Non-Linear Dynamic Techniques v. Equivalent Conicity Methods For Rail Vehicle Stability Assessment

Simon Iwnicki, R.M. Goodall
article en
17 citations

Abstract

This paper is to record a special discussion meeting held on 26th August 2003 during the 18th 1AVSD Symposium in Atsugi, Kanagawa, Japan, with the particular objective of answering the question “Should we use the term Equivalent Conicity?”. The subject is introduced, the subsequent discussion is documented, and some final conclusions and recommendations are given.

Vol. 41
Manchester Metropolitan University (GB), Loughborough University (GB)
Openalex Percentile: Top 99%
Railway Engineering and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.