波浪能转换器动力响应的鲁棒自适应分析

IF 1.5 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yingguang Wang
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引用次数: 0

摘要

目的探索一种新的、鲁棒的方法来预测波浪能转换器(WECs)的长期极端动力响应。本文首先提出了一种新的自适应盒状核密度估计(KDE)方法。通过对计算结果的检验,作者发现,在尾部区域,本文提出的自适应盒状KDE分布曲线变得非常平滑,并且与国家数据浮标中心(NDBC)站46059实测海浪数据集的直方图拟合得很好。对计算结果的仔细研究也表明,基于新方法导出的环境轮廓线预测的50年极端起飞升力值为3572600N,远远大于基于rosenblat -逆二阶可靠性法(ISORM)轮廓线法预测的2709100N。该方法克服了现有非参数和参数方法预测海况参数尾区概率密度值的缺点。结果表明,该方法具有较好的鲁棒性,能较好地预测wcs 50年极端动态响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust adaptive analysis of dynamic responses of wave energy converters
Purpose The purpose of this paper is to exploit a new and robust method to forecast the long-term extreme dynamic responses for wave energy converters (WECs). Design/methodology/approach A new adaptive binned kernel density estimation (KDE) methodology is first proposed in this paper. Findings By examining the calculation results the authors has found that in the tail region the proposed new adaptive binned KDE distribution curve becomes very smooth and fits quite well with the histogram of the measured ocean wave dataset at the National Data Buoy Center (NDBC) station 46,059. Carefully studying the calculation results also reveals that the 50-year extreme power-take-off heaving force value forecasted based on the environmental contour derived using the new method is 3572600N, which is much larger than the value 2709100N forecasted via the Rosenblatt-inverse second-order reliability method (ISORM) contour method. Research limitations/implications The proposed method overcomes the disadvantages of all the existing nonparametric and parametric methods for predicting the tail region probability density values of the sea state parameters. Originality/value It is concluded that the proposed new adaptive binned KDE method is robust and can forecast well the 50-year extreme dynamic responses for WECs.
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来源期刊
Engineering Computations
Engineering Computations 工程技术-工程:综合
CiteScore
3.40
自引率
6.20%
发文量
61
审稿时长
5 months
期刊介绍: The journal presents its readers with broad coverage across all branches of engineering and science of the latest development and application of new solution algorithms, innovative numerical methods and/or solution techniques directed at the utilization of computational methods in engineering analysis, engineering design and practice. For more information visit: http://www.emeraldgrouppublishing.com/ec.htm
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