Nonlinear assessment of offshore steel trestle subjected to wave and current loads

Wei, Kai; Liu, Qiang; Qin, Shunquan

doi:10.1080/17445302.2019.1661621

Cited by 15 publications

(9 citation statements)

References 24 publications

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“…The combined wind and wave forces on the corresponding foundation and upper structure contribute to the structural local damage, strength failure, or fracture. For this purpose, Wei et al (2019b) experimentally studied wave and wavecurrent actions on a gate-type bridge tower with a pile-group foundation at a scale of 1: 100. It is found that the longitudinal incident waves trigger the most adverse scenario for the base shear forces and the dynamic motion at the tower top.…”

Section: Bridge Towermentioning

confidence: 99%

“…Fang et al (2019a) extended the previous wind-vehicle-bridge model and developed a wind-wave-vehicle-bridge dynamic analysis model for sea-crossing railway bridge under wind and wave loadings, which involves multipoint fluctuating wind field, irregular wave field, finite element model of the bridge, and mass-spring-damper model of the vehicle. Wei et al (2019c) developed a nonlinear analysis framework based on pushover approach to assess the nonlinear response of offshore steel trestle (OST) subjected to wave and current loads.…”

Section: Whole Bridgementioning

confidence: 99%

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Review of annual progress of bridge engineering in 2019

Zhao

Yuan

Wei

et al. 2020

ABEN

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Bridge construction is one of the cores of traffic infrastructure construction. To better develop relevant bridge science, this paper introduces the main research progress in China and abroad in 2019 from 13 aspects, including concrete bridges and the high-performance materials, the latest research on steel-concrete composite girders, advances in box girder and cable-supported bridge analysis theories, advance in steel bridges, the theory of bridge evaluation and reinforcement, bridge model tests and new testing techniques, steel bridge fatigue, wind resistance of bridges, vehicle-bridge interactions, progress in seismic design of bridges, bridge hydrodynamics, bridge informatization and intelligent bridge and prefabricated concrete bridge structures.

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Section: Bridge Towermentioning

confidence: 99%

Section: Whole Bridgementioning

confidence: 99%

Review of annual progress of bridge engineering in 2019

Zhao

Yuan

Wei

et al. 2020

ABEN

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“…Usually, the loads acting on offshore structures can be classified into dead (permanent) loads, live (operating) loads, environmental loads, deformation loads, installation (construction) loads, and accidental loads [13][14][15][16]. In this study, the harsh environmental load conditions such as wind, wave, current including marine growth effects are considered as the influential loadings in the design of offshore structures [17,18], in which the wind-induced wave load impact is the most dominant loads [19]. Thus, the estimated structural response is required to be used in the structural reliability assessment in order to check the structure integrity of platforms.…”

Section: Overview Of the Offshore Structural Assessmentmentioning

confidence: 99%

Offshore Structural Reliability Assessment by Probabilistic Procedures—A Review

Ahmad

Husain²,

Zaki³

et al. 2021

JMSE

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Offshore installations must be built to resist fatigue as well as extreme forces caused by severe environmental conditions. The structural reliability analysis is the popular practise to assess a variety of natural waves determined by the long-term probability distribution of wave heights and corresponding periods on the site. In truth, however, these structures are subjected to arbitrary wave-induced forces in the open ocean. Hence, it is much more reasonable to account for the changed loading characteristics by determining the probabilistic characteristics of the random loads and outcomes responses. The key challenges are uncertainties and the non-linearity of Morison’s drag element, which results in non-Gaussian loading and response distributions. This study would analyze advances achieved to date in a comprehensive probabilistic review of offshore fixed jacket-type platforms.

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“…Naess et al [23] predicted both short-term and long-term extreme response statistics of a jacket structure based on the time histories of deck response under waves. Wei et al [24] developed a nonlinear analysis framework based on the pushover approach and applied it to assess the nonlinear response of OSTs subjected to wave and current loads. All these studies emphasize that the combination of high wave and strong current aggravate the nonlinear response of offshore jacket structures significantly, and hence threaten the safety of OSTs [25].…”

Section: Introductionmentioning

confidence: 99%

Kriging Model for Reliability Analysis of the Offshore Steel Trestle Subjected to Wave and Current Loads

Liu

Shang

Liu

et al. 2021

JMSE

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Offshore steel trestles (OSTs) are exposed to severe marine environments with stochastic wave and current loads, making structural safety assessment challenging and difficult. Reliability analysis is a suitable way to consider both wave and current loading intensity uncertainties, but the implicit and complex limit state functions of the reliability analysis usually imply huge computational costs. This paper proposes an efficient reliability analysis framework for OST using the kriging model of optimal linear unbiased estimation. The surrogate model is built with stochastic waves, current parameters, and the corresponding load factors. The framework is then used to evaluate the reliability of an example OST subjected to wave and current loads at three limit states of OST, including first yield (FY), full plastic (FP), and collapse initiation (CI). Three different distributions are used for comparison of the results of failure probability and reliability index. The results and the computational cost by the proposed framework are compared with that from the Monte Carlo sampling (MCS) and Latin hypercube sampling (LHS) method. The influences of sample number on the prediction accuracy and reliability index are investigated. The influence of marine growth on the reliability analysis of the OST is discussed using MCS and the kriging model. The results show that the reliability analysis based on the kriging model can obtain the reliability index for the OST efficiently with less calculation time but similar results compared with MCS and LHS. With the increase of the number of samples, the prediction accuracy of the kriging model increases, and the corresponding failure probability fluctuates greatly at first and then tends to be stable. The reliability of the example OST is reduced with the increase of marine growth, regardless of the limit state.

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Nonlinear assessment of offshore steel trestle subjected to wave and current loads

Cited by 15 publications

References 24 publications

Review of annual progress of bridge engineering in 2019

Review of annual progress of bridge engineering in 2019

Offshore Structural Reliability Assessment by Probabilistic Procedures—A Review

Kriging Model for Reliability Analysis of the Offshore Steel Trestle Subjected to Wave and Current Loads

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