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    Statistics of Extreme Wind Speeds and Wave Heights by the Bivariate ACER Method 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2015:;volume( 137 ):;issue: 002:;page 21602
    Author(s): Naess, Arvid; Karpa, Oleh
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the reliability engineering and design of offshore structures, probabilistic approaches are frequently adopted. They require the estimation of extreme quantiles of oceanographic data based on the statistical information. ...
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    Airgap Statistics for a Tension Leg Platform 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2015:;volume( 137 ):;issue: 001:;page 11602
    Author(s): Gaidai, Oleg; Naess, Arvid; Stansberg, Carl Trygve
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The paper discusses a method for estimating extreme value statistics of the airgap for floating offshore platforms subjected to random seas. It is an adaptation of a recently developed method, which is based on the mean ...
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    Long-Term Extreme Response and Reliability of a Vessel Rolling in Random Beam Seas 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2018:;volume( 140 ):;issue: 001:;page 11601
    Author(s): Chai, Wei; Naess, Arvid; Leira, Bernt J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, the long-term extreme response of a vessel rolling in random beam seas and the associated reliability evaluation are addressed. The long-term response analysis is based on the upcrossing rates of the roll ...
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    System Reliability Analysis by Monte Carlo Based Method and Finite Element Structural Models 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2014:;volume( 136 ):;issue: 003:;page 31603
    Author(s): Gaspar, Bruno; Naess, Arvid; Leira, Bernt J.; Soares, C. Guedes
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In principle, the reliability of complex structural systems can be accurately predicted by Monte Carlo simulation. This method has several attractive features for structural system reliability, the most important being ...
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