Wheel load reconstruction using strain gauge measurements on the bogie frame for strain prediction and fatigue assessment

Vesa Nieminen; Antero Tuohineva; Maija Autio

doi:10.1016/j.ijfatigue.2023.107533

Wheel load reconstruction using strain gauge measurements on the bogie frame for strain prediction and fatigue assessment

Vesa Nieminen^*
, Antero Tuohineva
, Maija Autio

^*Corresponding author for this work

Škoda Transtech Oy

Research output: Contribution to journal › Article › Scientific › peer-review

13 Citations (Scopus)

465 Downloads (Pure)

Abstract

Knowledge of actual wheel-rail contact forces under a service environment is critical for fatigue damage prediction of rail vehicle bogies. This paper presents a method for reconstructing operational wheel loads based on the strain gauge measurements on the bogie of a tram. The strain gauge placement is solved as an optimisation problem, and the actual load–strain relationship is verified by physical calibrations. A novel calibration arrangement is presented to produce linearly independent load cases for a fully equipped bogie. A good correlation of the reconstructed operational stresses with the measured stresses indicated that the identified loads are valid for fatigue assessment.

Original language	English
Article number	107533
Journal	International Journal of Fatigue
Volume	170
DOIs	https://doi.org/10.1016/j.ijfatigue.2023.107533
Publication status	Published - 1 May 2023
MoE publication type	A1 Journal article-refereed

Funding

This work was supported by Business Finland under the SmartRail ecosystem projects with Grants 5274/31/2019 and 10966/31/2020.

Keywords

Bogie frame
Fatigue damage
Load reconstruction
Optimal sensor placement
Virtual sensing

Access to Document

10.1016/j.ijfatigue.2023.107533Licence: CC BY

j.ijfatigue.2023.107533Final published version, 14 MBLicence: CC BY

Cite this

@article{0b2a9f975988481581017c91cc75ac7a,

title = "Wheel load reconstruction using strain gauge measurements on the bogie frame for strain prediction and fatigue assessment",

abstract = "Knowledge of actual wheel-rail contact forces under a service environment is critical for fatigue damage prediction of rail vehicle bogies. This paper presents a method for reconstructing operational wheel loads based on the strain gauge measurements on the bogie of a tram. The strain gauge placement is solved as an optimisation problem, and the actual load–strain relationship is verified by physical calibrations. A novel calibration arrangement is presented to produce linearly independent load cases for a fully equipped bogie. A good correlation of the reconstructed operational stresses with the measured stresses indicated that the identified loads are valid for fatigue assessment.",

keywords = "Bogie frame, Fatigue damage, Load reconstruction, Optimal sensor placement, Virtual sensing",

author = "Vesa Nieminen and Antero Tuohineva and Maija Autio",

year = "2023",

month = may,

day = "1",

doi = "10.1016/j.ijfatigue.2023.107533",

language = "English",

volume = "170",

journal = "International Journal of Fatigue",

issn = "0142-1123",

publisher = "Elsevier",

}

TY - JOUR

T1 - Wheel load reconstruction using strain gauge measurements on the bogie frame for strain prediction and fatigue assessment

AU - Nieminen, Vesa

AU - Tuohineva, Antero

AU - Autio, Maija

PY - 2023/5/1

Y1 - 2023/5/1

N2 - Knowledge of actual wheel-rail contact forces under a service environment is critical for fatigue damage prediction of rail vehicle bogies. This paper presents a method for reconstructing operational wheel loads based on the strain gauge measurements on the bogie of a tram. The strain gauge placement is solved as an optimisation problem, and the actual load–strain relationship is verified by physical calibrations. A novel calibration arrangement is presented to produce linearly independent load cases for a fully equipped bogie. A good correlation of the reconstructed operational stresses with the measured stresses indicated that the identified loads are valid for fatigue assessment.

AB - Knowledge of actual wheel-rail contact forces under a service environment is critical for fatigue damage prediction of rail vehicle bogies. This paper presents a method for reconstructing operational wheel loads based on the strain gauge measurements on the bogie of a tram. The strain gauge placement is solved as an optimisation problem, and the actual load–strain relationship is verified by physical calibrations. A novel calibration arrangement is presented to produce linearly independent load cases for a fully equipped bogie. A good correlation of the reconstructed operational stresses with the measured stresses indicated that the identified loads are valid for fatigue assessment.

KW - Bogie frame

KW - Fatigue damage

KW - Load reconstruction

KW - Optimal sensor placement

KW - Virtual sensing

UR - https://www.scopus.com/pages/publications/85147195374

U2 - 10.1016/j.ijfatigue.2023.107533

DO - 10.1016/j.ijfatigue.2023.107533

M3 - Article

SN - 0142-1123

VL - 170

JO - International Journal of Fatigue

JF - International Journal of Fatigue

M1 - 107533

ER -

Wheel load reconstruction using strain gauge measurements on the bogie frame for strain prediction and fatigue assessment

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

SmartRail#2: SmartRail 2. innovation phase

Cite this

Wheel load reconstruction using strain gauge measurements on the bogie frame for strain prediction and fatigue assessment

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SmartRail#2: SmartRail 2. innovation phase

Cite this