摘要
为了实现港湾共振条件下港内低频长波波浪要素的快速计算,本文通过物理模型实验研究了在港湾共振条件下,由外海不规则波浪要素来计算细长港口内低频长波波浪要素的方法。研究发现:经验公式和人工神经网络模型都可以利用外海的不规则波浪要素和当地水深来快速并准确地计算港内低频波浪成分的有效波高。通过对比港内低频长波的平均周期与外海不规则波浪的特征周期,发现它们之间并不存在明显的相关性。基于人工神经网络模型仍可以很好地利用外海不规则波浪要素和当地水深来计算港内低频长波的平均周期。
In order to realize fast calculation of the low-frequency wave parameters inside a harbor under the resonant conditions,this paper studies the methods for calculating the low-frequency long wave parameters inside a slender harbor with the offshore irregular wave parameters through physical model experiments of harbor resonance.The results showed that the significant low-frequency wave height inside the harbor could be quickly and accurately calculated by both empirical formula and artificial neural network model based on the offshore irregular wave parameters and local water depth.By comparing the mean period of the low-frequency long waves inside the harbor and characteristic periods of the irregular offshore waves,no significant correlation was found between them.The artificial neural network model can still perform well in computing the mean period of the low-frequency waves inside the harbor based on the offshore irregular wave parameters and local water depth.
作者
高俊亮
郑振钧
马小舟
董国海
GAO Junliang;ZHENG Zhenjun;MA Xiaozhou;DONG Guohai(School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China;State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2021年第7期975-982,共8页
Journal of Harbin Engineering University
基金
国家重点研发计划(2017YFC1404200)
国家自然科学基金项目(51911530205)
江苏省自然科学基金项目(BK20201455)
江苏高校“青蓝工程”.
关键词
港口工程
港湾共振
物理模型实验
不规则波
低频波浪
波浪推算
经验公式
人工神经网络
harbor engineering
harbor resonance
physical model experiments
irregular waves
low-frequency waves
wave estimation
empirical formula
artificial neural network