218
Views
5
CrossRef citations to date
0
Altmetric
Articles

The effect of corrosion spatial randomness and model selection on the ultimate strength of stiffened panels

&
Pages 140-152 | Received 13 Oct 2020, Accepted 04 Mar 2021, Published online: 06 Apr 2021
 

ABSTRACT

The main objective of this study is to investigate the effect of non-uniform thickness reduction and model selection on the predicted ultimate strength of stiffened panels under longitudinal compression. Random fields theory is used to describe the two-dimensional variation of thickness over the plates’ surface. Non-Gaussian sample functions are thus generated using the spectral representation method in combination with translation fields, whereas Monte Carlo simulation is employed to compute the response statistics. The paper provides an insightful guide for the implementation of stochastic finite element method (SFEM) into a deterministic FE software such as Abaqus. The evaluation of stiffened panel's ultimate strength variation due to the described inherent uncertainties of thickness and model selection, namely, the CSR load-end shortening curves analytical relations versus SFEM, is implemented. The results revealed that the uniform thickness approach of CSR using the net-50 scantlings provides a reasonable conservatism on the predicted ultimate strength.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 293.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.