Kriging based reliability and sensitivity analysis–Application to the stability of an earth dam
This article presents a Kriging-based probabilistic analysis of an earth dam. The dam failure
probability with respect to the sliding stability is investigated by considering the influence of …
probability with respect to the sliding stability is investigated by considering the influence of …
Probabilistic stability analysis of an embankment dam considering soil spatial variability
A probabilistic stability analysis of an embankment dam taking into account soil spatial
variabilities is presented in this paper. The effective cohesion and friction angle of the …
variabilities is presented in this paper. The effective cohesion and friction angle of the …
Reliability analysis for monopile foundation of offshore wind turbine considering correlated wind and waves and spatially varying soils
Z Zhang, T Wang, Z Chen, J Zhang - Ocean Engineering, 2023 - Elsevier
The monopile-supported offshore wind turbines (OWTs) are increasingly installed in more
challenging seabed environments, resulting that the reliability of the monopile foundation …
challenging seabed environments, resulting that the reliability of the monopile foundation …
Reliability-based design optimization of offshore wind turbine support structures using analytical sensitivities and factorized uncertainty modeling
LES Stieng, M Muskulus - Wind Energy Science, 2020 - wes.copernicus.org
The need for cost-effective support structure designs for offshore wind turbines has led to
continued interest in the development of design optimization methods. So far, almost no …
continued interest in the development of design optimization methods. So far, almost no …
Probabilistic bearing capacity prediction of square footings on 3D spatially varying cohesive soils
The bearing capacity of square and/or rectangular footings in geotechnical foundation
designs traditionally is determined based on experimental observations and/or deterministic …
designs traditionally is determined based on experimental observations and/or deterministic …
Capacity assessment of offshore skirted foundations under HM combined loading using RFEM
M Selmi, T Kormi, A Hentati, NBH Ali - Computers and Geotechnics, 2019 - Elsevier
Skirted foundations are widely used in offshore applications to resist the large vertical-
horizontal-moment (VHM) loads likely to occur in deep water. Their ultimate capacity under …
horizontal-moment (VHM) loads likely to occur in deep water. Their ultimate capacity under …
Improved active learning probabilistic approach for the computation of failure probability
AK El Haj, AH Soubra - Structural Safety, 2021 - Elsevier
This paper presents a cost-effective probabilistic approach to be used in engineering
applications. The proposed approach consists of an improved Kriging-based method aiming …
applications. The proposed approach consists of an improved Kriging-based method aiming …
Reliability-based settlement analysis of embankments over soft soils reinforced with T-shaped deep cement mixing piles
This paper presents a reliability-based settlement analysis of T-shaped deep cement mixing
(TDM) pile-supported embankments over soft soils. The uncertainties of the mechanical …
(TDM) pile-supported embankments over soft soils. The uncertainties of the mechanical …
Optimized active learning Kriging reliability based assessment of laterally loaded pile groups modeled using random finite element analysis
This paper presents an optimization of the Active learning Kriging (AK) reliability assessment
of laterally loaded pile groups modeled using random nonlinear finite element (FE) where …
of laterally loaded pile groups modeled using random nonlinear finite element (FE) where …
Efficient simulation of multivariate three-dimensional cross-correlated random fields conditioning on non-lattice measurement data
It is challenging to simulate large-scale or fine-resolution multivariate three-dimensional
(3D) cross-correlated conditional random fields because of computational issues such as …
(3D) cross-correlated conditional random fields because of computational issues such as …