Experimental study on constitutive relation of the high performance marine structural steel under extreme cyclic loads

Ma, Houbiao; Yang, Yang; He, Zheng; Jia, Ziyue; Zhang, Yahui

doi:10.1016/j.oceaneng.2018.09.003

Cited by 16 publications

(3 citation statements)

References 14 publications

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“…erefore, seemingly unrelated single-load random variables can establish some relationship according to equation (2), and any change of random variables may affect results of combination. e joint probability density function of the random vector x � x 1 , x 2 , .…”

Section: Load Effect Combination Methods Based Onmentioning

confidence: 99%

“…With the diversified development of building structure forms, the functions of buildings are becoming more and more comprehensive, which leads to the diversified and complicated load forms in the service cycle of the structure [1][2][3]. For example, besides common loads, industrial buildings also bear fatigue, impact, additional loads for changing purposes and stacking loads for goods.…”

Section: Introductionmentioning

confidence: 99%

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Based on M-Copula Reliability Analysis of Random Load Correlation

Huang

Mingdong

Liu

et al. 2020

Mathematical Problems in Engineering

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Load is one of the main causes of structural failure, and the correlation among loads would affect the evaluation results of structural performance. The purpose of this paper is to analyze the influence of the correlation among multiple loads on the structural reliability. In this paper, the nonparametric kernel density estimation (NKDE) method is used to estimate the probability density function (PDF) of related loads. In addition, the mixed copula (M-Copula) model is proposed, which combines Gumbel copula, Frank copula, Clayton copula, and weight coefficient, and the model parameters are fitted by MATLAB software to get the correlation of related loads. The reliability based on the related load combination is calculated according to the constructed model. After analyzing three numerical cases, the results show that the probability characteristics of NKDE estimation are very close to the actual conditions, and the reliability calculated by the M-Copula model is larger than those calculated by JCSS, Turkstra, and Gong methods. Using the M-Copula model for load correlation would avoid underestimating the reliability of the structure, which is conducive to structural economic development.

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Section: Load Effect Combination Methods Based Onmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Based on M-Copula Reliability Analysis of Random Load Correlation

Huang

Mingdong

Liu

et al. 2020

Mathematical Problems in Engineering

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“…The need to develop effective damping systems for offshore structures that face normal and extreme sea-states [7] motivated the utilization of numerical and physical modeling to analyze structural parameters [8][9][10][11][12][13]. Kandasamy et al [14] mentioned that environmental loads (wind, waves, and currents) had affected the operability of the offshore structures generating accidents aboard and structural failures during the last decades.…”

Section: Introductionmentioning

confidence: 99%

DOE-ANOVA for Identifying the Effect of Extreme Sea-States over the Structural Dynamic Parameters of a Floating Structure

Rueda-Bayona¹,

Guzmán²,

Osorio³

2022

MMEP

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Sea extreme events affect the integrity and operation of the offshore structures, then, it is important to analyze wind-waves-currents loads over the structural dynamics. Traditional offshore designing identifies structural parameters with certain limitations: physical modeling involves using shaking tables in dry conditions; numerical simulations have not sufficiently considered the effects of combined extreme waves-wind-current loads over the structure and the significance of the near and far hydrodynamic field over the structure. The non-linear interactions in the near hydrodynamic field generate viscous damping that modifies the dynamic structural parameters of the offshore structures. The traditional determination of structural parameters considers the hydrodynamic forces computed from wave records, omitting fluid-structure interactions that could generate unexpected damped periods and amplification peaks. This study applied physical modeling to determine floating structural parameters, considering combined loads and the effect of far and near hydrodynamic field in the fluid-structure interaction. The calculated transfer functions in the near hydrodynamic field revealed the highest amplification of the structural accelerations, and the transfer functions in the far field did not evidence structural resonance. Finally, this study recommends measuring the near hydrodynamic field and applying DOE-ANOVA for offshore designing to assess the viscous damping that may provoke dangerous structural amplifications.

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