Validating performance of automotive materials at high strain rate for improved crash design

Paul Wood, C.A. Schley, S. Kenny, T. Dutton, M. Bloomfield, R. Bardenheier, J. Smith

Research output: Contribution to conferencePaperpeer-review

39 Downloads (Pure)

Abstract

This paper investigates sources of performance variability in high velocity testing of automotive crash structures. Sources of variability, or so called noise factors, present in a testing environment, arise from uncertainty in structural properties, joints, boundary conditions and measurement system. A box structure, which is representative of a crash component, is designed and fabricated from a high strength Dual Phase sheet steel. Crush tests are conducted at low and high speed. Such tests intend to validate a component model and material strain rate sensitivity data determined from high speed tensile testing. To support experimental investigations, stochastic modeling is used to investigate the effect of noise factors on crash structure performance variability, and to identify suitable performance measures to validate a component model and material strain rate sensitivity data. The results of the project will enable the measurement of more reliable strain rate sensitivity data for improved crashworthiness predictions of automotive structures.

Original languageEnglish
Publication statusPublished - 4 Jun 2006
EventProceedings of 9th Int. LS-DYNA Users’ Conference - Detroit, Michigan, United States
Duration: 4 Jun 20066 Jun 2006

Conference

ConferenceProceedings of 9th Int. LS-DYNA Users’ Conference
Country/TerritoryUnited States
CityDetroit, Michigan
Period4/06/066/06/06

Keywords

  • automotive research
  • crash testing
  • materials testing
  • engineering

Fingerprint

Dive into the research topics of 'Validating performance of automotive materials at high strain rate for improved crash design'. Together they form a unique fingerprint.

Cite this