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Analysis of Real-Life Multi-Input Loading Histories for the Reliable Design of Vehicle Chassis

Research output: Contribution to journalConference articlepeer-review

Abstract

In order to reliably design automotive structures, engineers need to determine and justify validation conditions and levels. These must stem from a thorough knowledge of structural damage induced by service loading conditions. From multi-input variable amplitude loading histories applied on a car's wheel axles, we propose a multidimensional pseudo-damage description for the design of car chassis weak points. We present a multivariate description of client loading histories. We use it in a statistical analysis of a labelled measurement campaign to explain the heterogeneity of car driver profiles. Finally, we explore the question of complex load damage reconstruction using proving ground reference loads.

Original languageEnglish
Pages (from-to)497-506
Number of pages10
JournalProcedia Structural Integrity
Volume38
Issue numberC
DOIs
Publication statusPublished - 1 Jan 2021
Event9th Edition of the International conference on Fatigue Design, Fatigue Design 2021 - Senlis, France
Duration: 17 Nov 202118 Nov 2021

Keywords

  • Automotive fatigue design
  • Loading reconstruction
  • Multi-input variable amplitude loads
  • Multiaxial fatigue
  • Multivariate analysis
  • Statistical learning
  • Structural damage

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