A DPIM-based probability analysis framework to obtain railway vehicle vibration characteristics considering the randomness of OOR wheel
A DPIM-based probability analysis framework to obtain railway vehicle vibration characteristics considering the randomness of OOR wheel
The OOR (out-of-roundness) wheel is one of the main excitation sources causing vehicle vibration. However, the OOR wheel occurs randomly, indicating that the vibration behavior of a vehicle cannot be comprehensively evaluated using a deterministic approach. Thus, a probability analysis framework is proposed to obtain vehicle vibration characteristics while considering the randomness of the OOR wheel. The probability model of the random OOR wheel is derived by reducing the high-dimensional variables into a few independent variables of the radius, amplitude, and phase. Then, the vertical vehicle-track coupled system with OOR wheels is modelled. A DPIM (direct probability integral method) is further developed to analyze the evolution of excitation to response probabilities. Finally, the statistics of the random vibration of the vehicle are calculated. The proposed framework is verified using a numerical case. Results show that the PDF (probability density function) shape of the vehicle random vibration, induced by the Gaussian-distributed OOR wheel, deviates from the Gaussian distribution due to the nonlinear wheel/rail contact force. Instead, it exhibits a right-skewed shape, significantly impacting the dynamic performance. As the mean or coefficient of variation of the OOR wheel amplitude increases linearly, the reliability of the vehicle Sperling index experiences a quadratic or double-sloping decrease. Consequently, a maintenance threshold for OOR wheel amplitudes is given based on reliability considerations. Compared to Monte Carlo simulation, the proposed framework offers a computational efficiency improvement of at least one order of magnitude.
Maintenance strategy, OOR wheels, Probability analysis, Railway vehicle, Random dynamics
Wang, Tengfei
eb3cd689-e898-4751-b438-465a58062d4e
Zhou, Jinsong
5302ef52-fd22-4b4d-baa6-3c640dd17f17
Sun, Wenjing
697ae912-77f1-43f4-b7ee-38cf7fb986b2
Gong, Dao
20b951f6-e6d0-4da9-874a-263a7d0c29d1
Zhou, Kai
64734b37-529a-4dd7-ac15-dd1e110a6d83
Zhang, Zhanfei
9d71b5cb-3244-4900-916d-1c57e191beda
Liu, Guangyu
dd3aee38-7970-4741-9c5d-ff96e63abf9c
29 February 2024
Wang, Tengfei
eb3cd689-e898-4751-b438-465a58062d4e
Zhou, Jinsong
5302ef52-fd22-4b4d-baa6-3c640dd17f17
Sun, Wenjing
697ae912-77f1-43f4-b7ee-38cf7fb986b2
Gong, Dao
20b951f6-e6d0-4da9-874a-263a7d0c29d1
Zhou, Kai
64734b37-529a-4dd7-ac15-dd1e110a6d83
Zhang, Zhanfei
9d71b5cb-3244-4900-916d-1c57e191beda
Liu, Guangyu
dd3aee38-7970-4741-9c5d-ff96e63abf9c
Wang, Tengfei, Zhou, Jinsong, Sun, Wenjing, Gong, Dao, Zhou, Kai, Zhang, Zhanfei and Liu, Guangyu
(2024)
A DPIM-based probability analysis framework to obtain railway vehicle vibration characteristics considering the randomness of OOR wheel.
Probabilistic Engineering Mechanics, 75, [103587].
(doi:10.1016/j.probengmech.2024.103587).
Abstract
The OOR (out-of-roundness) wheel is one of the main excitation sources causing vehicle vibration. However, the OOR wheel occurs randomly, indicating that the vibration behavior of a vehicle cannot be comprehensively evaluated using a deterministic approach. Thus, a probability analysis framework is proposed to obtain vehicle vibration characteristics while considering the randomness of the OOR wheel. The probability model of the random OOR wheel is derived by reducing the high-dimensional variables into a few independent variables of the radius, amplitude, and phase. Then, the vertical vehicle-track coupled system with OOR wheels is modelled. A DPIM (direct probability integral method) is further developed to analyze the evolution of excitation to response probabilities. Finally, the statistics of the random vibration of the vehicle are calculated. The proposed framework is verified using a numerical case. Results show that the PDF (probability density function) shape of the vehicle random vibration, induced by the Gaussian-distributed OOR wheel, deviates from the Gaussian distribution due to the nonlinear wheel/rail contact force. Instead, it exhibits a right-skewed shape, significantly impacting the dynamic performance. As the mean or coefficient of variation of the OOR wheel amplitude increases linearly, the reliability of the vehicle Sperling index experiences a quadratic or double-sloping decrease. Consequently, a maintenance threshold for OOR wheel amplitudes is given based on reliability considerations. Compared to Monte Carlo simulation, the proposed framework offers a computational efficiency improvement of at least one order of magnitude.
Text
A DPIM-based Probability Analysis Framework to Obtain Railway Vehicle Vibration Characteristics Considering the Randomness of OOR Wheel
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Accepted/In Press date: 19 February 2024
e-pub ahead of print date: 24 February 2024
Published date: 29 February 2024
Keywords:
Maintenance strategy, OOR wheels, Probability analysis, Railway vehicle, Random dynamics
Identifiers
Local EPrints ID: 501485
URI: http://eprints.soton.ac.uk/id/eprint/501485
PURE UUID: 640260f0-91b6-41fc-893c-801e29906013
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Date deposited: 02 Jun 2025 16:56
Last modified: 02 Jun 2025 16:56
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Contributors
Author:
Tengfei Wang
Author:
Jinsong Zhou
Author:
Wenjing Sun
Author:
Dao Gong
Author:
Kai Zhou
Author:
Zhanfei Zhang
Author:
Guangyu Liu
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