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Research on Fatigue Life Prediction Method of Air Spring Based on an Improved Critical Plane Method.

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Title: Research on Fatigue Life Prediction Method of Air Spring Based on an Improved Critical Plane Method.
Authors: Ke, Jun1,2 (AUTHOR) jlukejun@163.com, Ma, Shengtao1,2 (AUTHOR), Luo, Dongwei1,2 (AUTHOR), Meng, Fang1,2 (AUTHOR), Xiang, Zhong1,2 (AUTHOR), Lu, Wenqi1 (AUTHOR), Chen, Wenhua3 (AUTHOR), Pan, Jun3 (AUTHOR), Wu, Junjie4 (AUTHOR)
Source: Journal of Failure Analysis & Prevention. Dec2025, Vol. 25 Issue 6, p2631-2650. 20p.
Subjects: Fatigue life, Air suspension for automobiles, Wear resistance, Cyclic loads, Strains & stresses (Mechanics), Fatigue cracks, Finite element method
Abstract: With the growing demand for durability and reliability in automobile suspension systems, accurate fatigue life prediction of air springs under dynamic cyclic loading has become a key research priority. This study develops a novel fatigue life prediction methodology that builds on the critical plane method and Palmgren–Miner linear damage accumulation theory. The approach establishes a predictive model by statistically correlating the mechanics-derived damage parameter DP eq (obtained from the stress–strain responses of cord–rubber dumbbell specimens) with experimental fatigue data. Based on this model, the fatigue life characteristics and damage distribution of air springs under different sub-blocks of an equivalent block loading spectrum were systematically analyzed, and the total damage value (D) and fatigue life (L) were calculated. Finite element simulations were conducted to capture multiaxial stress–strain states, enabling accurate identification of critical damage planes and potential failure locations. The model was validated through equivalent block loading tests, yielding a prediction error of 12.12% and demonstrating strong agreement in damage localization. These findings confirm the accuracy of the proposed approach, which reduces reliance on air spring assembly fatigue testing and offers effective insights for optimizing the design and durability of cord-reinforced rubber components under complex service conditions. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Failure Analysis & Prevention is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 190408893
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: Research on Fatigue Life Prediction Method of Air Spring Based on an Improved Critical Plane Method.
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  Data: <searchLink fieldCode="AR" term="%22Ke%2C+Jun%22">Ke, Jun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jlukejun@163.com</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+Shengtao%22">Ma, Shengtao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Dongwei%22">Luo, Dongwei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meng%2C+Fang%22">Meng, Fang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiang%2C+Zhong%22">Xiang, Zhong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Wenqi%22">Lu, Wenqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Wenhua%22">Chen, Wenhua</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+Jun%22">Pan, Jun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Junjie%22">Wu, Junjie</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Failure+Analysis+%26+Prevention%22">Journal of Failure Analysis & Prevention</searchLink>. Dec2025, Vol. 25 Issue 6, p2631-2650. 20p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Fatigue+life%22">Fatigue life</searchLink><br /><searchLink fieldCode="DE" term="%22Air+suspension+for+automobiles%22">Air suspension for automobiles</searchLink><br /><searchLink fieldCode="DE" term="%22Wear+resistance%22">Wear resistance</searchLink><br /><searchLink fieldCode="DE" term="%22Cyclic+loads%22">Cyclic loads</searchLink><br /><searchLink fieldCode="DE" term="%22Strains+%26+stresses+%28Mechanics%29%22">Strains & stresses (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+cracks%22">Fatigue cracks</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the growing demand for durability and reliability in automobile suspension systems, accurate fatigue life prediction of air springs under dynamic cyclic loading has become a key research priority. This study develops a novel fatigue life prediction methodology that builds on the critical plane method and Palmgren–Miner linear damage accumulation theory. The approach establishes a predictive model by statistically correlating the mechanics-derived damage parameter DP eq (obtained from the stress–strain responses of cord–rubber dumbbell specimens) with experimental fatigue data. Based on this model, the fatigue life characteristics and damage distribution of air springs under different sub-blocks of an equivalent block loading spectrum were systematically analyzed, and the total damage value (D) and fatigue life (L) were calculated. Finite element simulations were conducted to capture multiaxial stress–strain states, enabling accurate identification of critical damage planes and potential failure locations. The model was validated through equivalent block loading tests, yielding a prediction error of 12.12% and demonstrating strong agreement in damage localization. These findings confirm the accuracy of the proposed approach, which reduces reliance on air spring assembly fatigue testing and offers effective insights for optimizing the design and durability of cord-reinforced rubber components under complex service conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Failure Analysis & Prevention is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
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      – Type: doi
        Value: 10.1007/s11668-025-02315-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 2631
    Subjects:
      – SubjectFull: Fatigue life
        Type: general
      – SubjectFull: Air suspension for automobiles
        Type: general
      – SubjectFull: Wear resistance
        Type: general
      – SubjectFull: Cyclic loads
        Type: general
      – SubjectFull: Strains & stresses (Mechanics)
        Type: general
      – SubjectFull: Fatigue cracks
        Type: general
      – SubjectFull: Finite element method
        Type: general
    Titles:
      – TitleFull: Research on Fatigue Life Prediction Method of Air Spring Based on an Improved Critical Plane Method.
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            NameFull: Ke, Jun
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            NameFull: Ma, Shengtao
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            NameFull: Luo, Dongwei
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            NameFull: Lu, Wenqi
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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