Ice load identification of ship structure based on time-domain deconvolution algorithm and selection of sampling period

被引：0
|
作者：
Kong S. [1 ]
Tian Y.-K. [1 ]
Cui H.-Y. [2 ]
Ji S.-Y. [2 ]
机构：
[1] China Ship Scientific Research Center, Wuxi
[2] State Key Laboratory of Structure Analysis of Industrial Equipment, Dalian University of Technology, Dalian
来源：
Chuan Bo Li Xue/Journal of Ship Mechanics | 2021年 / 25卷 / 08期
关键词：
Ice load identification; Ice load monitoring; Sampling period; Tikhonov regularization method; Time-domain deconvolution algorithm;
D O I：
10.3969/j.issn.1007-7294.2021.08.005
中图分类号：
学科分类号：
摘要：
As the critical environmental loads for ice-going ships, ice loads can cause severe structural damage or fatigue damage to the ship structure, thus greatly influencing the structural safety. The effects of dynamic loads are reasonably accounted in the ice load identification model based on time-domain deconvolution algorithm. However, the computational stability and identification accuracy are significantly affected by the time interval for sampling of ice-induced strain signals. The forward problem of ice load identification on ship shell structure is established using Green kernel. Then the Tikhonov regularization operator and generalized cross validation method are applied to improve the stability of solution. Combining the selecting principles of dynamic load identification, ice loads measured in full-scale, and natural vibration characteristics of shell structures, the sampling time of signals is determined. Through construction and analysis of the cases consisting of applied loads with different frequencies and noise signals of different levels, the applicability of the determined sampling time for the load identification is evaluated. It is shown with the identified loads that the time-historical features of the applied loads are correctly revealed and a desirable identification accuracy is realized. © 2021, Editorial Board of Journal of Ship Mechanics. All right reserved.
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页码：1021 / 1030
页数：9
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