Shanghai Ocean University, Shanghai, China.
Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, Stavanger, Norway.
Sci Rep. 2023 May 29;13(1):8691. doi: 10.1038/s41598-023-33699-7.
In contrast to well-known bivariate statistical approach, which is known to properly forecast extreme response levels for two-dimensional systems, the research validates innovative structural reliability method, which is particularly appropriate for multi-dimensional structural responses. The disadvantage of dealing with large system dimensionality and cross-correlation across multiple dimensions is not a benefit of traditional dependability approaches that deal with time series. Since offshore constructions are built to handle extremely high wind and wave loads, understanding these severe stresses is essential, e.g. wind turbines should be built and operated with the least amount of inconvenience. In the first scenario, the blade root flapwise bending moment is examined, whereas in the second, the tower bottom fore-aft bending moment is examined. The FAST simulation program was utilized to generate the empirical bending moments for this investigation with the load instances activated at under-rated, rated, and above-rated speeds. The novel reliability approach, in contrast to conventional reliability methods, does not call for the study of a multi-dimensional reliability function in the case of numerical simulation. As demonstrated in this work, it is now possible to assess multi-degree-of-freedom nonlinear system failure probability, in the case when only limited system measurements are available.
与众所周知的二元统计方法形成对比，后者被认为能够适当地预测二维系统的极端响应水平，本研究验证了创新的结构可靠性方法，该方法特别适用于多维结构响应。处理大系统维度和多个维度之间的交叉相关的缺点不是传统可靠性方法的优势，这些传统可靠性方法处理时间序列。由于海上建筑是为了处理极高的风和波浪负荷而建造的，因此了解这些严重的压力至关重要，例如，风力涡轮机的建造和运营应尽可能减少不便。在第一个场景中，检查叶片根部挥舞弯曲力矩，而在第二个场景中，检查塔底部前后弯曲力矩。利用 FAST 模拟程序生成经验弯曲力矩，本研究中的负荷实例在低于额定、额定和高于额定速度下激活。与传统可靠性方法不同，新的可靠性方法在数值模拟的情况下不需要研究多维可靠性函数。如本工作所示，现在即使只有有限的系统测量值，也可以评估多自由度非线性系统失效概率。
