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首页> 外文期刊>Applied Ocean Research >A Bayesian wave inference method accounting for nonlinearity related inaccuracies in motion RAOs
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A Bayesian wave inference method accounting for nonlinearity related inaccuracies in motion RAOs

机译:贝叶斯波推动方法核对非线性相关的议案无与伦比

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摘要

Motion based wave inference allows the estimation of the directional sea spectrum from the measured motions of a vessel. Solving the resulting inverse problem is challenging as it is often ill-posed; moreover, inaccuracies related to the linearity hypothesis behind estimated platform response functions (RAOs) may result in misleading estimations of the sea states. This work discusses how these inaccuracies affect the estimations obtained by means of a Bayesian motion based wave inference method (VMB). For this purpose, an heuristic correction, accounting for the non-linearity related inaccuracies of the estimated RAOs, is included in an expanded Bayesian inference approach. Then, the resulting inference model is verified by means of a comparison between the outputs of this novel approach and those obtained without accounting for nonlinearity related inaccuracies in the RAOs. This assessment has been carried out using the data measured through dedicated model scale experiments of the Equinor's Asgard-B semisubmersible oil processing platform. The results attested that improvements are obtained if the linearly related RAOs inaccuracies are taken into account in the VMB, especially for the sea conditions that excite the non-linear responses of the semisubmersible platform adopted as motion-based wave sensor.
机译:基于运动的波动推断允许估计来自容器的测量运动的定向海谱。解决导致的反问题是挑战,因为它通常没有释放;此外,与估计平台响应函数(RAOS)背后的线性假设有关的不准确可能导致海州的误导性估计。这项工作讨论了这些不准确性如何影响通过基于贝叶斯运动的波动推断方法(VMB)获得的估计。为此目的,启发式修正,占估计罗索的非线性相关的不准确性,包括在扩大的贝叶斯推理方法中。然后,通过这种新方法的输出与RAO中的非线性相关的非线性相关不准确性之间的输出之间的比较来验证所得到的推断模型。通过通过Equinor Asgard-B半机械加工平台的专用模型规模实验测量的数据进行了该评估。证明了结果,如果在VMB中考虑线性相关的RAOS不准确性,则获得改进,特别是对于激发作为基于运动基波传感器的半机械平台的非线性响应的海洋状况。

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