University of Sussex
Browse
Revised Manuscript.pdf (1.37 MB)

Experimental and numerical study on crashworthiness of cold-formed dimpled steel columns

Download (1.37 MB)
journal contribution
posted on 2023-06-09, 04:31 authored by Ce Liang, Chang WangChang Wang, Van Bac Nguyen, Martin English, Diane Mynors
The UltraSTEEL® forming process forms plain steel sheets into dimpled steel sheets and this process increases the sheet material's strengths by generating plastic deformation on the material during the process. This paper presented experimental testing and developed a finite element (FE) model to predict the energy absorption characteristics of dimpled thin-walled structures under axial impact loads, and compared the energy absorption efficiencies (specific energy absorption) of plain and dimpled columns. Dynamic experimental tests were conducted using the drop tower at two different impact velocities. Explicit FE analysis were then carried out to simulate the experiments. The FE method was validated by comparing the numerical and experimental failure modes, crushing force response and specific energy absorptions. The validated FE method was then applied in an optimization study on the parameter of forming depth. The effects of forming depth on both geometry and material properties have been taken into account in the optimization study. It has been found that the specific energy absorption of dimpled columns is up to 16.3% higher than the comparable plain columns.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Thin-Walled Structures

ISSN

0263-8231

Publisher

Elsevier

Volume

112

Page range

83-91

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2017-01-03

First Open Access (FOA) Date

2017-01-03

First Compliant Deposit (FCD) Date

2017-01-03

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC