PSI - Issue 54

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ScienceDirect

Procedia Structural Integrity 54 (2024) 561–567 Structural Integrity Procedia 00 (2023) 000–000 Structural Integrity Procedia 00 (2023) 000–000

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© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0 ) Peer-review under responsibility of the scientific committee of the ICSI 2023 organizers Abstract Knowledge of the structural health of components with greater failure criticality can help increase the longevity of railway vehicles by allowing increasing the spacing between inspections. This article presents an experiment to determine the typical stress spectrum observed in parabolic leaf springs of railway freight wagons. The stress spectrum generated in the leaf spring is correlated with the load spectrum imposed on the wheel set. Data is collected from strain gauges and potentiometers installed on the leaf spring and axle box. The numerical model developed in finite elements is used to compare the results obtained and possible future analyses. The results obtained showed good agreement among the di ff erent approaches. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the scientific committee of the ICSI 2023 organizers. Keywords: Type your keywords here, separated by semicolons ; International Conference on Structural Integrity 2023 (ICSI 2023) Experiments for a Fatigue Damage Analysis Applied in Leaf Spring Suspensions of Freight Wagons V.M.G. Gomes a,1, ∗ , N.M.P. Pinto a , P.A. Montenegro a , J.A.F.O Correia a,1 , R. Calc¸ada a , A.M.P de Jesus a,1 a 1Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal Abstract Knowledge of the structural health of components with greater failure criticality can help increase the longevity of railway vehicles by allowing increasing the spacing between inspections. This article presents an experiment to determine the typical stress spectrum observed in parabolic leaf springs of railway freight wagons. The stress spectrum generated in the leaf spring is correlated with the load spectrum imposed on the wheel set. Data is collected from strain gauges and potentiometers installed on the leaf spring and axle box. The numerical model developed in finite elements is used to compare the results obtained and possible future analyses. The results obtained showed good agreement among the di ff erent approaches. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the scientific committee of the ICSI 2023 organizers. Keywords: Type your keywords here, separated by semicolons ; International Conference on Structural Integrity 2023 (ICSI 2023) Experiments for a Fatigue Damage Analysis Applied in Leaf Spring Suspensions of Freight Wagons V.M.G. Gomes a,1, ∗ , N.M.P. Pinto a , P.A. Montenegro a , J.A.F.O Correia a,1 , R. Calc¸ada a , A.M.P de Jesus a,1 a 1Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal With environmental issues gaining importance in recent years, the railway industry has been identified as a critical element for the development of a sustainable economy. The rail vehicle has been planned for exporting in the goods transportation sector. However, the dynamics of sales have needed the logistics sector’s e ffi cient management and maintenance of their resources in order to respond to customer demand e ffi ciently. This is only achievable if the health status of the components is properly understood. This information is especially critical in components that provide a high level of risk. The leaf springs that constitute the suspension of freight wagons are one of these elements whose failure can be caused by fatigue and might result in vehicle derailment. Several studies regarding the rolling stock in circulation such as dynamic analysis of railway vehicles (Matej et. al. (2014); Piotrowski (2003); Pombo and Ambro´sio (2012); Mei and Ding (2008)) and fatigue analysis of leaf springs under random loadings (Li et. al. (2006); Shi et. al. (2016); Ribeiro et. al. (2013); Infante et. al.. (2022); Atig et. al. (2019); Schwanke et. al.. (2020); With environmental issues gaining importance in recent years, the railway industry has been identified as a critical element for the development of a sustainable economy. The rail vehicle has been planned for exporting in the goods transportation sector. However, the dynamics of sales have needed the logistics sector’s e ffi cient management and maintenance of their resources in order to respond to customer demand e ffi ciently. This is only achievable if the health status of the components is properly understood. This information is especially critical in components that provide a high level of risk. The leaf springs that constitute the suspension of freight wagons are one of these elements whose failure can be caused by fatigue and might result in vehicle derailment. Several studies regarding the rolling stock in circulation such as dynamic analysis of railway vehicles (Matej et. al. (2014); Piotrowski (2003); Pombo and Ambro´sio (2012); Mei and Ding (2008)) and fatigue analysis of leaf springs under random loadings (Li et. al. (2006); Shi et. al. (2016); Ribeiro et. al. (2013); Infante et. al.. (2022); Atig et. al. (2019); Schwanke et. al.. (2020); 1. Introduction 1. Introduction

∗ Corresponding author. E-mail address: vtgomes@fe.up.pt ∗ Corresponding author. E-mail address: vtgomes@fe.up.pt

2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the ICSI 2023 organizers 10.1016/j.prostr.2024.01.119 2210-7843 © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the scientific committee of the ICSI 2023 organizers. 2210-7843 © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the scientific committee of the ICSI 2023 organizers.