TY - JOUR
AU1 - Sun, Jiayao
AU2 - Gaidai, Oleg
AU3 - Wang, Fang
AU4 - Yakimov, Vladimir
AB - Two new techniques for risk and reliability analysis of multidimensional nonlinear dynamic systems are presented in this study, combined into one novel Gaidai reliability method. First, a novel reliability method for assessing offshore structural risk and reliability is proposed. This method is particularly helpful for offshore engineering multidimensional dynamic structures with numerous components that are either physically measured over a meaningful time period, or numerically modelled. Second, novel deconvolution technique for extreme values prediction is described. This technique is ideally suited for use in a variety of engineering applications. This work shows that under actual climatic circumstances, it is also possible to appropriately estimate the risks of system failures and dangers brought on by severe structural responses. Managing multi-dimensional dynamic systems and their cross-correlation across many system components is not necessarily a practical advantage for traditional reliability methodologies dealing with system time series. This reliability study utilized dynamic offshore Jacket stresses as an example. Due to system non-stationarity and complexity of fluid-structural interactions resulting from wave stresses acting on Jacket support structure, modelling such events is highly difficult. Extreme motions significantly increase the contribution of nonlinearities, resulting in impacts of second, third, and higher order fluid-structural interaction. Methods put forward in this study provides a simple, efficient, and accurate way to evaluate failure/hazard risks for multi-dimensional nonlinear dynamic systems.
TI - Gaidai reliability method for fixed offshore structures
JF - Journal of the Brazilian Society of Mechanical Sciences and Engineering
DO - 10.1007/s40430-023-04607-x
DA - 2024-01-01
UR - https://www.deepdyve.com/lp/springer-journals/gaidai-reliability-method-for-fixed-offshore-structures-vG7ovYd4gT
VL - 46
IS - 1
DP - DeepDyve
ER -