预测腐蚀磨损和机械磨损造成的厚度损失的新模型

IF 4 2区 工程技术 Q1 ENGINEERING, CIVIL Marine Structures Pub Date : 2024-06-21 DOI:10.1016/j.marstruc.2024.103659
Norio Yamamoto , Andrea Bollero , Chang Won Son , Hiroyuki Koyama , Jang-ill Choi , Yining Lv
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引用次数: 0

摘要

在腐蚀环境中,船舶结构件通常会因腐蚀磨损而造成厚度损失。对于腐蚀磨损,可以根据厚度测量数据成功确定概率模型,以评估和估计磨损情况。另一方面,除了腐蚀磨损造成的厚度损失外,一些船舶结构件还可能出现机械磨损造成的厚度损失。本研究针对机械磨损与腐蚀磨损叠加的情况提出了一种新的概率模型。在实际结构中观察到的情况是腐蚀磨损情况和腐蚀磨损与机械磨损情况的混合。在根据板厚测量数据确定概率模型时,无法区分测量数据代表的是腐蚀磨损导致的腐蚀状况,还是腐蚀磨损与机械磨损的混合状况。因此,我们研究了一种方法,通过使用潜变量对数据进行分类来获得最大似然模型。通过对数据进行分类,分别确定腐蚀磨损的概率模型和腐蚀磨损与机械磨损的概率模型,更新潜变量的后验分布。这些过程不断重复,直到混合概率模型的可能性达到最大。为了进行验证,我们模拟并分析了一组由混合磨损条件组成的腐蚀数据。结果表明,使用所提出的方法可以正确识别两种概率模型,特别是可以正确估计高累积概率对应的减小量。此外,该方法还被应用于散货船下部货舱的船体结构件的厚度测量数据,证实散货船下部货舱的结构件在腐蚀磨损条件方面没有差异,但在机械磨损程度和范围方面存在显著差异,表明机械损伤对这些结构件的磨损条件影响很大。
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A new model for predicting thickness loss due to both corrosion wear and mechanical wear

Thickness loss due to corrosion wear generally occurs on ship structural members in corrosive environments. For corrosion wear, a probabilistic model can be successfully identified from the thickness measurements data to evaluate and estimate wear conditions. On the other hand, thickness loss due to mechanical wear may occur in some ship structural members in addition to thickness loss due to corrosion wear. In this study, a new probabilistic model for the case where mechanical wear is superimposed to corrosion wear is proposed. The condition observed in the actual structure is a mixture of corrosion wear condition and condition of corrosion wear with mechanical wear. When identifying a probabilistic model based on the plate thickness measurements data, it is impossible to distinguish whether the measurements data represent a corrosion condition due to corrosion wear or corrosion wear with mechanical wear. Therefore, a method is examined to obtain a model that would be the maximum likelihood by classifying the data using latent variables. By classifying the data and identifying both of a probability model of corrosion wear and a probability model of corrosion wear with mechanical wear, respectively, the posterior distribution of the latent variables is updated. These processes are repeated until the likelihood of the mixed probability models is maximized. For verification, a set of corrosion data consisting of mixed wear conditions were simulated and analyzed. It shows that both probability models could be properly identified with the proposed method, and in particular, the amount of diminution corresponding to high cumulative probability could also be properly estimated. Furthermore, this method was applied to thickness measurements data of ship structural members in the lower cargo holds of bulk carriers, where mechanical wear is also a concern, and it was confirmed that there was no difference in the corrosion wear condition of the members in the lower part of cargo holds of bulk carriers, however, significant differences were observed in the degree and extent of mechanical wear, indicating that the influence of mechanical damage is very significant in the wear condition of these members.

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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.
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