Reliability Assessments of Large Reinforced Concrete Structures Using Non-linear Finite Element Analyses: Challenges and Solutions

M Engen, Max Hendriks, JA Overli, E Aldstedt

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

The use of non-linear finite element analyses for reliability assessments of reinforced concrete structures has gained much attention during the last decade, particularly with the introduction of semi-probabilistic methods in fib Model Code 2010. In a recent PhD project, the topic has been elaborated on with a special focus on the applicability to large concrete structures like dams and offshore platforms. Such structures usually require the use of relatively large solid finite elements and large load steps in order to reduce the computational cost. In this paper, the main findings from the project, including a proper material model for concrete, quantification of the modelling uncertainty and treatment of uncertainties from different sources, will be discussed. Unanswered questions that has been raised during the project will be highlighted.
Original languageEnglish
Title of host publicationHigh Tech Concrete: Where Technology and Engineering Meet
Subtitle of host publicationProceedings of the 2017 fib Symposium, held in Maastricht, The Netherlands, June 12–14, 2017
EditorsD. Hordijk, M. Lukovic
Pages1680-1688
ISBN (Electronic)978-3-319-59471-2
DOIs
Publication statusPublished - 2018

Keywords

  • Analysis and design
  • Numerical modelling
  • Large concrete structures
  • Non-linear finite element analysis
  • Modelling uncertainty
  • Structural reliability
  • Global resistance factor method

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    Engen, M., Hendriks, M., Overli, JA., & Aldstedt, E. (2018). Reliability Assessments of Large Reinforced Concrete Structures Using Non-linear Finite Element Analyses: Challenges and Solutions. In D. Hordijk, & M. Lukovic (Eds.), High Tech Concrete: Where Technology and Engineering Meet: Proceedings of the 2017 fib Symposium, held in Maastricht, The Netherlands, June 12–14, 2017 (pp. 1680-1688) https://doi.org/10.1007/978-3-319-59471-2_193