kth.sePublications KTH
System disruptions
There are recurring service disruptions on some of the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Wheel and Rail Profile Optimisation for a Heavy Haul Network
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle engineering and technical acoustics.ORCID iD: 0009-0003-0471-3956
National Research Council (NRC), Ottawa, Canada.
National Research Council (NRC), Ottawa, Canada.
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle engineering and technical acoustics.ORCID iD: 0000-0003-1583-4625
(English)Manuscript (preprint) (Other academic)
Abstract [en]

This study presents a systematic framework for optimising wheel and rail profiles and its application in a North American heavy-haul railway. The network suffers from severe low-rail RCF in tight curves with widened gauge, while high-rail damage remains limited due to effective friction management. To address this imbalance, a two-phase optimisation strategy was developed: first, a wheel profile was designed to reduce low-rail damage across varying gauge conditions while maintaining or reducing high-rail damage in sharp curves; second, two new rail profiles were introduced for mild curves and tangent track to ensure compatibility with the new optimised wheel profile and to reduce contact stresses in these sections. The results demonstrate that combined wheel-rail optimisation delivers superior performance compared to a wheel-only optimisation solution and is feasible in practice through the adaptation of existing rail grinding templates, highlighting the importance of a system-level approach to managing RCF and wear in heavy-haul railway operations.

Keywords [en]
Wheel and Rail Profile Optimisation, Wheel-Rail interaction, RCF, Wear, NSGA-II, Multi-Objective Optimisation
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-372987OAI: oai:DiVA.org:kth-372987DiVA, id: diva2:2014165
Note

QC 20251128

Available from: 2025-11-17 Created: 2025-11-17 Last updated: 2025-11-28Bibliographically approved
In thesis
1. Wheel and Rail Profile Design: Multi-Objective Optimisation of the Wheel-Rail Interface Using Dynamic Simulations to Minimise Wear and Rolling Contact Fatigue
Open this publication in new window or tab >>Wheel and Rail Profile Design: Multi-Objective Optimisation of the Wheel-Rail Interface Using Dynamic Simulations to Minimise Wear and Rolling Contact Fatigue
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The interaction between wheels and rails is a key determinant of railway performance, safety, and maintenance costs. Degradations such as wear and rolling contact fatigue originate from the complex mechanical and dynamic processes at the wheel-rail interface. With increasing traffic demand, higher axle loads and greater operational speeds, these degradations intensify and lead to more frequent and costly maintenance. This thesis addresses these challenges by developing and applying multi-objective optimisation techniques for the design of wheel and rail profiles, with the overall aim of reducing damage rates and extending service life.

A refined tangential contact modelling framework is introduced that incorporates a slip velocity dependent friction coefficient to improve the estimation of traction, wear and rolling contact fatigue. An index is developed to estimate the likelihood of curve squeal noise on specific track sections, thereby supporting noise mitigation strategies. 

The performance of two multi-objective optimisation algorithms, namely NSGA II and MOPSO, is analysed under identical conditions to provide insights into their suitability for profile optimisation. Practical implementation aspects, including grinding limitations, are explicitly considered to ensure that the optimised rail profiles are feasible for real-world application.

The optimisation methodology is applied to both passenger and heavy haul contexts. For a broad-gauge heavy haul system, novel techniques are presented for optimising high and low rail profiles in curves as well as multiple profiles for tangent track. Furthermore, a systematic approach is proposed for the integrated optimisation of wheel and rail profiles on a dedicated heavy haul line, taking into account the requirements of the infrastructure owner.

The findings demonstrate that optimised wheel and rail profiles can substantially reduce wear and fatigue, while maintaining vehicle stability and steering performance, extending component lifespans and lowering maintenance demands. The contributions of this thesis provide both methodological advances and practical solutions for railway operators and infrastructure managers, supporting the sustainable development of railway systems under modern operating conditions.

Abstract [sv]

Interaktionen mellan hjul och räl är central för järnvägssystemets prestanda, säkerhet och underhållskostnader. Nedbrytande fenomen såsom slitage och rullkontaktutmattning har sitt ursprung i de komplexa mekaniska och dynamiska processerna vid kontaktytan mellan hjul och räl. I takt med ökande trafikvolymer, högre axellaster och högre hastigheter accentueras dessa nedbrytningsmekanismer, vilket resulterar i mer frekvent och kostsamt underhåll. Avhandlingen adresserar dessa utmaningar genom utveckling och tillämpning av multiobjektiva optimeringstekniker för utformning av hjul- och rälsprofiler, med det övergripande syftet att reducera skadefrekvensen och förlänga komponenternas livslängd.

Ett förfinat modelleringsramverk introduceras för hjul-räl kontakten, vilket inkluderar en varierande friktionskoefficient för att förbättra uppskattningen av dragkraft, slitage och rullkontaktutmattning. Vidare utvecklas ett index för att kvantifiera sannolikheten för förekomst av kurvskrik på specifika spåravsnitt, och därigenom stödja utvecklingen av strategier för bullerminskning.

Prestandan hos två multiobjektiva optimeringsalgoritmer, NSGA II respektive MOPSO, analyseras under identiska förhållanden i syfte att belysa deras lämplighet för profiloptimering. Praktiska implementeringsaspekter, däribland begränsningar vid rälsslipning, beaktas uttryckligen för att säkerställa att de optimerade rälsprofilerna är tillämpbara under verkliga driftsförhållanden.

Den föreslagna optimeringsmetodiken tillämpas både inom persontrafik och tung godstrafik. För ett bredspårigt tunggodssystem presenteras nya metoder för optimering av hög- och lågrälsprofiler i kurvor samt av multipla profiler för rakspår. Därtill föreslås en systematisk ansats för integrerad optimering av hjul- och rälsprofiler på en dedikerad tunggodsbana, med beaktande av infrastrukturägarens specifika krav.

Resultaten visar att optimerade hjul- och rälsprofiler kan medföra en avsevärd reduktion av energiförluster, slitage och utmattning,samtidigt som fordonsstabilitet och styrprestanda upprätthålls, komponenternas livslängd förlängs och underhållsbehoven minskar. Avhandlingen inkluderar såväl metodologiska framsteg som praktiska lösningar för järnvägsoperatörer och infrastrukturförvaltare, och främjar därigenom en hållbar utveckling av järnvägssystemet under moderna driftsförhållanden.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2025. p. xxi, 47
Series
TRITA-SCI-FOU ; 2025:68
Keywords
Wheel-rail interaction, profile optimisation, multi-objective algorithms, wear, rolling contact fatigue, curve squeal noise, heavy haul railway, hjul-räl-interaktion, profiloptimering, multiobjektiva algoritmer, slitage, rullkontaktutmattning, kurvskrik, tunggodsjärnväg
National Category
Vehicle and Aerospace Engineering
Research subject
Vehicle and Maritime Engineering
Identifiers
urn:nbn:se:kth:diva-372995 (URN)978-91-8106-479-7 (ISBN)
Public defence
2025-12-12, https://kth-se.zoom.us/j/64897602106, F3, Lindstedtvägen 26, Stockholm, 09:00 (English)
Opponent
Supervisors
Note

QC 251118

Available from: 2025-11-18 Created: 2025-11-17 Last updated: 2025-12-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Khoramzad, ElhamCasanueva, Carlos

Search in DiVA

By author/editor
Khoramzad, ElhamCasanueva, Carlos
By organisation
Vehicle engineering and technical acoustics
Vehicle and Aerospace Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 102 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf