RETRACTION: Durability Loads Prediction of Body-on-Frame Vehicles using Full Vehicle Simulation

Nantu Roy, Christian Scheiblegger, Jos Darling, Peter Pfeffer

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The assessment of durability is of vital importance to the automotive industry in general and for body-on-frame vehicle manufacturers in particular, as it is one of the most important physical attributes for the customer. Therefore, durability needs to be highlighted in the development process from the beginning of the design and development phase. This paper discusses the use of full vehicle simulation techniques developed in ADAMS/Car for the prediction of durability loads of a pickup truck. The frame, cab and box are modeled as flexible structures. The cab rests on elastomer mounts, whose stiffness and damping characteristics are very sensitive to the excitation amplitude and preload conditions. To improve simulation, a practical approach that takes into account the body mounts’ non-linear amplitude-dependent behavior has been used for this survey. A comparison of experimental and model simulation results for one of the most severe proving ground events was made in terms of time histories, power spectral densities, level crossing counting and relative pseudo damage. The validated full-vehicle model was used for detailed parameter studies and tolerance analyses in a very early phase of the development to significantly improve product quality and development process. The accuracy of the simulation, including this fine level of detail can be used to justify a reduction of on-road durability tests and prototypes. To further improve the simulation, following studies will focus on the model parameters for the flexible car body structure and hydro cab mounts.

Original languageEnglish
Article number2017-01-9675.01
JournalSAE International Journal of Passenger Cars - Mechanical Systems
Volume10
Issue number1
DOIs
Publication statusUnpublished - 14 Mar 2017

ASJC Scopus subject areas

  • Modelling and Simulation
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Mechanical Engineering

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