The need to generate realistic strain signals at an automotive coil spring for durability simulation leading to fatigue life assessment

T. E. Putra, Shahrum Abdullah, D. Schramm, Mohd. Zaki Nuawi, T. Bruckmann

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This study aims to accelerate fatigue tests using simulated strain signals. Strain signals were acquired from a coil spring involving car movements. Using a mathematical expression, the measured strain signals yielded acceleration signals, and were considered as disturbances on generating strain signals. The simulated strain signals gave the testing time deviation by only 1.5%. The wavelet-based data editing was applied to shorten the strain signals time up to 36.7% and reduced the testing time up to 33.9%. In conclusion, the simulated strain signals were able to maintain the majority of fatigue damage and decreased the testing time.

Original languageEnglish
Pages (from-to)432-447
Number of pages16
JournalMechanical Systems and Signal Processing
Volume94
DOIs
Publication statusPublished - 15 Sep 2017

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Durability
Fatigue of materials
Testing
Fatigue damage
Railroad cars

Keywords

  • Acceleration
  • Automotive
  • Durability
  • Fatigue life
  • Wavelet transform

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

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abstract = "This study aims to accelerate fatigue tests using simulated strain signals. Strain signals were acquired from a coil spring involving car movements. Using a mathematical expression, the measured strain signals yielded acceleration signals, and were considered as disturbances on generating strain signals. The simulated strain signals gave the testing time deviation by only 1.5{\%}. The wavelet-based data editing was applied to shorten the strain signals time up to 36.7{\%} and reduced the testing time up to 33.9{\%}. In conclusion, the simulated strain signals were able to maintain the majority of fatigue damage and decreased the testing time.",
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AU - Abdullah, Shahrum

AU - Schramm, D.

AU - Nuawi, Mohd. Zaki

AU - Bruckmann, T.

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N2 - This study aims to accelerate fatigue tests using simulated strain signals. Strain signals were acquired from a coil spring involving car movements. Using a mathematical expression, the measured strain signals yielded acceleration signals, and were considered as disturbances on generating strain signals. The simulated strain signals gave the testing time deviation by only 1.5%. The wavelet-based data editing was applied to shorten the strain signals time up to 36.7% and reduced the testing time up to 33.9%. In conclusion, the simulated strain signals were able to maintain the majority of fatigue damage and decreased the testing time.

AB - This study aims to accelerate fatigue tests using simulated strain signals. Strain signals were acquired from a coil spring involving car movements. Using a mathematical expression, the measured strain signals yielded acceleration signals, and were considered as disturbances on generating strain signals. The simulated strain signals gave the testing time deviation by only 1.5%. The wavelet-based data editing was applied to shorten the strain signals time up to 36.7% and reduced the testing time up to 33.9%. In conclusion, the simulated strain signals were able to maintain the majority of fatigue damage and decreased the testing time.

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KW - Durability

KW - Fatigue life

KW - Wavelet transform

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