Time-dependent reliability analysis of service-proven quay walls subject to corrosion-induced degradation

Roubos, Alfred; Allaix, Diego Lorenzo; Schweckendiek, T.; Steenbergen, R.D.J.M.; Jonkman, Sebastiaan N.

doi:10.1016/j.ress.2020.107085

Cited by 17 publications

(4 citation statements)

References 18 publications

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“…The uncertainty related to corrosion-induced degradation was estimated using field measurements from the port of Rotterdam (De Jong, 2018). The coefficients of variation found for distinctive corrosion environments ( Figure 3; Roubos, 2019) range between 0.1 and 0.5, which is in accordance with other literature (Allaix et al, 2018;Boero et al, 2012;Roubos et al, 2019). In the calculations performed in this study, a coefficient of variation of 0.5 was taken into consideration.…”

Section: Modelling Time-variant Reliabilitysupporting

confidence: 89%

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Target reliability indices for existing quay walls derived on the basis of economic optimisation and human safety requirements

Roubos

Allaix

Fischer³

et al. 2019

Structure and Infrastructure Engineering

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Target reliability indices for existing quay walls derived on the basis of economic optimisation and human safety requirements General frameworks for reliability differentiation have evolved over time and are mainly developed for buildings. However, recommendations for the safety of existing quay walls are lacking. In this study, target reliability indices for assessing existing quay walls were derived by economic optimisation and by evaluating the requirements concerning human safety. In quay-wall design, some dominant stochastic design variables are largely time-independent, such as soil and material properties. The influence of time-independent variables on the evolution of the probability of failure was taken into consideration, since this affects the present value of future failure costs and the associated target reliability indices. The target reliability indices obtained for existing quay walls depend on the consequences of failure and the remaining lifetime. If the failure modes of a quay wall are governed by time-independent design parameters and the quay wall has already survived the early service period, the residual probability of failure is lower for an existing quay wall compared to a new structure. Hence, this should be considered in the determination of target reliability indices. The method to evaluate quay-wall reliability over time can also be used to assess other civil and geotechnical structures.

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Section: Modelling Time-variant Reliabilitysupporting

confidence: 89%

“…(2017) and Roubos et al (2019). The length of a quay wall was subdivided into equivalent sections for which failure events are independent.…”

Section: Failure Modementioning

confidence: 99%

Target reliability indices for existing quay walls derived on the basis of economic optimisation and human safety requirements

Roubos

Allaix

Fischer³

et al. 2019

Structure and Infrastructure Engineering

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“…This was done by performing reliability-based assessments using an alternative reliability tool while analytically modelling the quay wall using Blum's method (Blum 1931), which was commonly used until the end of the twentieth century to design all quay walls in Rotterdam. The Blum-based probabilistic analysis was performed on the basis of the Rackwitz-Fiessler FORM algorithm (Rackwitz and Fiessler 1997), and a more computational extensive crude Monte Carlo analysis (Roubos et al 2020). Since some variables are correlated, Section 2.4 presents the method used to determine partial factors of safety for correlated stochastic variables.…”

Section: Introductionmentioning

confidence: 99%

“…The reader is referred to(Courage and Steenbergen 2007) for further details. The reader is referred toRoubos et al (2020) for further details.…”

mentioning

confidence: 99%

Finite element-based reliability assessment of quay walls

Roubos

Schweckendiek

Brinkgreve

et al. 2020

Georisk: Assessment and Management of Risk for Engineered Syste

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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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Positron-Enabled Atomic Orbital Search Algorithm for Improved Reliability-Based Design Optimization

Farahmand-Tabar,

Shirgir

2023

Handbook of Formal Optimization

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Time-dependent reliability analysis of service-proven quay walls subject to corrosion-induced degradation

Cited by 17 publications

References 18 publications

Target reliability indices for existing quay walls derived on the basis of economic optimisation and human safety requirements

Target reliability indices for existing quay walls derived on the basis of economic optimisation and human safety requirements

Finite element-based reliability assessment of quay walls

Positron-Enabled Atomic Orbital Search Algorithm for Improved Reliability-Based Design Optimization

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