冰区船外板结构冰载荷监测识别方法及统计分析研究现状  

Research Status on Identification Method and Statistical Analysis of Ice Load on Shell Structures of Ice-Going Vessels

作　　者：孔帅 田于逵[1] 赵桥生[1] 王迎晖[1] 季顺迎[2] KONG Shuai;TIAN Yukui;ZHAO Qiaosheng;WANG Yinghui;JI Shunying(State Key Laboratory of Hydrodynamics,China Ship Scientific Research Center,Wuxi,214082,Jiangsu,China;State Key Laboratory of Structure Analysis of Industrial Equipment,Dalian University of Technology,Dalian 116024,Liaoning,China)

机构地区：[1]中国船舶科学研究中心水动力学重点试验室,江苏无锡214082 [2]大连理工大学工业装备结构分析国家重点实验室,辽宁大连116024

出　　处：《船舶工程》2022年第6期1-9,52,共10页Ship Engineering

基　　金：国家自然科学基金项目(52101331,52192690,52192694,51639004,41576179)。

摘　　要：冰区船外板结构冰载荷在时频特征、时空演化规律和统计特性等方面具有极强的差异性,可能会导致结构遭到严重损毁或疲劳破坏,通过实船监测识别能较为直接有效地揭示冰载荷特征。结合典型实船的冰载荷测量系统,对其核心监测技术进行归纳,比较分析影响系数矩阵、时域反卷积和支持向量机等3种冰载荷识别方法,汇总冰载荷峰值提取、峰值分布拟合、峰值离散特性和冰力周期分布拟合等统计研究进展情况。基于冰区船冰载荷监测发展趋势,提出需进一步研究的问题。Ice loads on the shell structure of ice-going vessels differ considerably in aspects of time-frequency characteristics,law of space-time evolution,and statistical characteristics which can cause severe structural damage or fatigue damage to the ship structure.The full-scale identification of ice load can reveal the characteristics of ice load relative directly and effectively.The core monitoring techniques are summarized by combining a typical full-scale ice load monitoring system.A comparative analysis of the three ice load identification methods,including data influence matrix,time-domain deconvolution,and support vector machine is performed.The latest research on the statistical of ice load,including selection of extremes,distribution fitting of extremes,discrete nature of extremes,and distribution fitting of periods of ice loads are summarized.Several issues for future research are put forward based on the development trend of ice load monitoring of ice-going vessels.

关 键 词：冰区船 外板结构 冰载荷 识别方法 现场测量 统计分析 

分 类 号：U661.42[交通运输工程—船舶及航道工程] P75[交通运输工程—船舶与海洋工程]