Accuracy verification of the 2D spectral AIS method by the hull monitoring data

IF 4 2区 工程技术 Q1 ENGINEERING, CIVIL Marine Structures Pub Date : 2024-10-07 DOI:10.1016/j.marstruc.2024.103704
Masayoshi Oka, Yusuke Komoriyama, Chong Ma
{"title":"Accuracy verification of the 2D spectral AIS method by the hull monitoring data","authors":"Masayoshi Oka,&nbsp;Yusuke Komoriyama,&nbsp;Chong Ma","doi":"10.1016/j.marstruc.2024.103704","DOIUrl":null,"url":null,"abstract":"<div><div>Accuracy validation of the 2D spectral AIS method (AIS method using two-dimensional wave spectrum; 2D-AIS method) using hull monitoring data of a large ore carrier is discussed. The AIS method predicts the response of actual ships using AIS-based ship position data, hindcast wave data, and response characteristics data. The conventional AIS method uses representative parameters(<span><math><mrow><mi>H</mi></mrow></math></span>, <span><math><mrow><mi>T</mi></mrow></math></span>, <span><math><mrow><mi>θ</mi></mrow></math></span>) from wave spectrum modeling. The modeling involves many uncertainties. By using the 2D wave spectrum as it is, the effect of uncertainties associated with wave spectrum modeling is investigated. Compared to the analysis of the monitoring data conducted in this study, it was found that the 2D-AIS method improves the accuracy to about 15 %, while the conventional AIS method shows an error of up to about 35 % compared to the actual measurements in the long-term maximum expected values. This enhancement is attributed to the inability of the modeled wave spectrum to accurately represent the two-peak wave spectrum observed in extreme sea states, leading to a deficiency in reproducing wave frequency components corresponding to peak frequencies of the response. The findings underscore the effectiveness of the 2D-AIS method in refining long-term hull stress estimations, thus offering valuable insights for enhancing the safety and performance of hull structures.</div></div>","PeriodicalId":49879,"journal":{"name":"Marine Structures","volume":"99 ","pages":"Article 103704"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951833924001321","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

Accuracy validation of the 2D spectral AIS method (AIS method using two-dimensional wave spectrum; 2D-AIS method) using hull monitoring data of a large ore carrier is discussed. The AIS method predicts the response of actual ships using AIS-based ship position data, hindcast wave data, and response characteristics data. The conventional AIS method uses representative parameters(H, T, θ) from wave spectrum modeling. The modeling involves many uncertainties. By using the 2D wave spectrum as it is, the effect of uncertainties associated with wave spectrum modeling is investigated. Compared to the analysis of the monitoring data conducted in this study, it was found that the 2D-AIS method improves the accuracy to about 15 %, while the conventional AIS method shows an error of up to about 35 % compared to the actual measurements in the long-term maximum expected values. This enhancement is attributed to the inability of the modeled wave spectrum to accurately represent the two-peak wave spectrum observed in extreme sea states, leading to a deficiency in reproducing wave frequency components corresponding to peak frequencies of the response. The findings underscore the effectiveness of the 2D-AIS method in refining long-term hull stress estimations, thus offering valuable insights for enhancing the safety and performance of hull structures.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过船体监测数据验证二维光谱 AIS 方法的准确性
讨论了利用一艘大型矿石运输船的船体监测数据对二维波谱 AIS 方法(使用二维波谱的 AIS 方法;2D-AIS 方法)进行精度验证的问题。AIS 方法利用基于 AIS 的船位数据、后报波浪数据和响应特性数据预测实际船舶的响应。传统的 AIS 方法使用波谱建模中的代表性参数(H、T、θ)。建模涉及许多不确定因素。通过使用二维波谱,研究了与波谱建模相关的不确定性的影响。与本研究进行的监测数据分析相比,发现二维 AIS 方法将精度提高了约 15%,而传统 AIS 方法与实际测量值相比,在长期最大预期值方面的误差高达约 35%。这种提高归因于建模波谱无法准确表示在极端海况下观测到的双峰值波谱,导致无法再现与响应峰值频率相对应的波频成分。这些发现强调了二维-AIS 方法在完善长期船体应力估计方面的有效性,从而为提高船体结构的安全性和性能提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Marine Structures
Marine Structures 工程技术-工程:海洋
CiteScore
8.70
自引率
7.70%
发文量
157
审稿时长
6.4 months
期刊介绍: This journal aims to provide a medium for presentation and discussion of the latest developments in research, design, fabrication and in-service experience relating to marine structures, i.e., all structures of steel, concrete, light alloy or composite construction having an interface with the sea, including ships, fixed and mobile offshore platforms, submarine and submersibles, pipelines, subsea systems for shallow and deep ocean operations and coastal structures such as piers.
期刊最新文献
Design of a quick-connection device for installing pre-assembled offshore wind turbines A probability-based study on failure mechanism and quantitative risk analysis for buried offshore pipelines subjected to third-party impact loads, exploring the effects of spatial variability of soil strength Elastic mode expansion in smoothed particle hydrodynamics framework for hydroelasticity and validation with 3D hydroelastic wedge impact experiments An ULS reliability-based design method for mooring lines using an efficient full long-term approach Structural performance at the joint of precast pile-supported pier structure
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1