摘要
数值模拟及物理模型试验是研究近岸波浪的重要方法。在实施数值模拟和物理模型试验前,需要根据近岸波浪特征确定入射波浪要素。近岸波浪往往是由混合浪主导的,包含多个独立的波浪系统,每个波系都需用多个波浪特征参数进行描述,因此实现多波浪系统的代表性海况的选取具有重要意义。首先介绍了数据挖掘算法,随后根据汉班托塔港的实测波浪数据,运用最大差异选择算法(MDA)分别选取了二维、三维以及多维特征参数描述下的代表性波浪条件。结果表明,对于可进行人为筛选的二维波浪特征参数,MDA算法的筛选结果优于人工筛选结果。在三维及多维波浪特征参数条件下,MDA算法选取的代表性海况在数据空间上分布均匀,具有较高的代表性,证实了MDA算法适用于选取混合海况下的代表性波浪特征参数。
Numerical simulation and physical model experiment are important methods for studying nearshore wave.Before implementing numerical simulation and physical experiments,it is necessary to determine the incident waves elements based on the characteristics of nearshore waves.Nearshore waves are typically dominated by mixed waves,which contain multimodal independent wave systems,each of which requires several wave characteristic parameters for complete description.It is of great significance to realize the selection of representative sea states for multimodal wave systems.Firstly,this paper introduces popular data mining algorithms,and then according to the measured wave data of Hambantota Port,it selects the representative wave conditions defined by two-dimensional,three-dimensional and multi-dimensional wave characteristic parameters respectively using maximum dissimilarity algorithm(MDA).The results show that the outcome of the MDA is better than the manual results for the two-dimensional wave parameters that can be artificially selected.If the wave conditions are defined by three-dimensional or even multidimensional wave characteristic parameters,the representative sea states selected by MDA algorithm are even distribution in data space and have high representativeness,which proves the MDA algorithm is suitable for selecting representative wave characteristic parameters under mixed sea conditions.
作者
王潇晨
郑振钧
董华韦
李鹏达
吴宇飞
郑艳娜
马小舟
董国海
WANG Xiaochen;ZHENG Zhenjun;DONG Huawei;LI Pengda;WU Yufei;ZHENG Yanna;MA Xiaozhou;DONG Guohai(The State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China;Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering,Shenzhen University,Shenzhen 518060,China;School of Ocean and Civil Engineering,Dalian Ocean University,Dalian 116023,China)
出处
《水运工程》
2024年第1期1-7,共7页
Port & Waterway Engineering
基金
深圳市科技计划项目(KQTD20200820113004005)
国家自然科学基金面上项目(52071060)
中央高校基本科研业务费资助项目(DUT22LAB101,DUT22RC(6)006)
辽宁省教育厅资助项目(LJKZ0717)。
关键词
最大差异选择算法
波浪观测
代表性海况
混合浪
多波浪系统
maximum dissimilarity algorithm
wave measurement
representative sea state
mixed wave
multimodal wave system
