Probability density functions of SCFs in internally ring-stiffened tubular KT-joints of offshore structures subjected to axial loading

Ahmadi, Hamid; Mohammadi, Amir Hossain; Yeganeh, Ali

doi:10.1016/j.tws.2015.05.012

Cited by 30 publications

(4 citation statements)

References 36 publications

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“…This variable is considered as the primary source of uncertainty in our study and follows a probability distribution law. To determine the type of distribution of accelerations, we perform a statistical analysis based on Kolmogorov-Smirnov (K-S) tests (Ahmadi et al, 2015). These tests are conducted using a database composed of 45 accelerograms recorded following the May 21 st , 2003 earthquake in Boumerdes, Algeria, by various seismographs installed by the National Center for Applied Research in Seismic Engineering (CGS) in the central region of Algeria (see Figure 1).…”

Section: Random Variablementioning

confidence: 99%

Statistical Analysis of an RC Elevated Tank Damage by a Nonlinear Approach

OURDIA,

AMAR,

HOCINE

et al. 2023

EPSTEM

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In the seismic field, the seismic performance of a structure reflects its damage level under a given seismic demand. Thus, to evaluate this performance, many analysis and design techniques are used, such as nonlinear approach commonly called Pushover is used in this research. On the other hand, predicting the damage level is a random process, where only a probabilistic approach would allow predicting it, as the level of uncertainty, related to the seismic action is important. For this purpose, a statistical study was conducted through simulations with large number of seismic accelerations, generated from a probabilistic distribution law, inspired from the Monte Carlo method, to evaluate the damage rates corresponding to each damage domain. The results revealed the influence of the seismic zone and the location of the structure on the damage rate observed after seismic loading.

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Section: Random Variablementioning

confidence: 99%

Statistical Analysis of an RC Elevated Tank Damage by a Nonlinear Approach

OURDIA,

AMAR,

HOCINE

et al. 2023

EPSTEM

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“…To identify the type of probability distribution, a statistical analysis based on Chi-2 type tests [2] is performed. Forty five (45) accelerograms of the earthquake of 21 May 2003 of Boumerdes (Algeria) are used for the statistical analysis.…”

Section: Random Seismic Loadingmentioning

confidence: 99%

Fragility analysis of concrete elevated water tanks under seismic loads

Hammoum

Aliche

Bouzelha

et al. 2021

Frattura Ed Integrità Strutturale

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The design of concrete elevated water tanks involves several kinds of uncertainties. Traditionally, the design of these structures is based on a deterministic analysis. Partial safety factors prescribed in design codes are applied to take into account these uncertainties and to ensure sufficiently safe design. However, this approach does not allow rational evaluation of the risk related to the structural failure and consequently its reliability. In fact, the partial safety factors can lead to over-designed structures; or to under designed structural components leading to a lack of structural robustness. In this study, a probabilistic approach based on Monte Carlo simulations is used to analyze the reliability of elevated water tanks submitted to hazard seismic loading. This reliability approach, takes into account mainly two parameters. Firstly, the hydraulic charge in the tank container which is a function of time, and secondly, the hazard seismic loading through the Peak Ground Acceleration is considered as a random variable. Fragility curves depending on seismic zones and soil types are obtained by using the probabilistic approach, where they demonstrate the dominant failure modes that can cause the structural failure with respect to different seismic levels, soil types and water height level in the tank container.

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“…Also, the Augmented Lagrange method was employed as the contact algorithm and the behavior of the contact surface was defined to be always bonded [30,31]. Contact was set to be detected on gauss points and be automatically adjusted to close the gap and reduce the penetration.…”

Section: Contact Modelingmentioning

confidence: 99%