Finite element-based reliability assessment of quay walls

Journal Article (2020)
Author(s)

Alfred Roubos (TU Delft - Hydraulic Structures and Flood Risk)

Timo Schweckendiek (TU Delft - Hydraulic Structures and Flood Risk)

R. Brinkgreve (TU Delft - Geo-engineering)

R. D.J.M. Steenbergen (Universiteit Gent)

S.N. Jonkman (TU Delft - Hydraulic Structures and Flood Risk)

Research Group
Hydraulic Structures and Flood Risk
Copyright
© 2020 A.A. Roubos, T. Schweckendiek, R.B.J. Brinkgreve, R. D. J. M. Steenbergen, Sebastiaan N. Jonkman
DOI related publication
https://doi.org/10.1080/17499518.2020.1756344
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 A.A. Roubos, T. Schweckendiek, R.B.J. Brinkgreve, R. D. J. M. Steenbergen, Sebastiaan N. Jonkman
Research Group
Hydraulic Structures and Flood Risk
Issue number
3
Volume number
15 (2021)
Pages (from-to)
165-181
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Abstract

While reliability methods have already been widely adopted in civil engineering, the efficiency and robustness of finite element-based reliability assessments of quay walls are still fairly low. In this paper, the reliability indices of structural and geotechnical failure modes of two real-life quay walls are determined by coupling probabilistic methods with finite element models, taking into account a large number of stochastic variables. The reliability indices found are within the range of the targets suggested in the design codes presently in use. Nevertheless, neglecting model uncertainty and correlations between stochastic variables leads to an underestimation of the probability of failure. In addition, low sensitivity factors are found for time-independent variables, such as material properties and model uncertainty. Furthermore, the results are used to reflect on the partial factors used in the original design. Important variables, such as the angle of internal friction, are subjected to a sensitivity analysis in order to illuminate their influence on the reliability index. Port authorities and terminal operators might be able to use the findings of this paper to derive more insight into the reliability of their structures and to optimise their service life and functionality, for example by deepening berths or increasing operational loads.

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