船舶加筋板在双轴压缩和侧压作用下极限强度包络线的广义封闭表达式

IF 4 2区 工程技术 Q1 ENGINEERING, CIVIL
Dongyang Li , Zhen Chen
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引用次数: 0

摘要

由数值或实验数据推导出的半解析公式是船舶结构极限状态设计的一种有效方法。然而,要用传统的回归方法来描述船舶加筋板在双轴压缩和侧压联合作用下的极限强度包络线,很难得到一个精度、适用性和实用性都很好的统一方程。为了解决这一缺陷,本文提出了一种新的策略,主要涉及等效顺序加载方法和人工智能方法。基于已报道的实验数据和经典的比例加载方法,对有限元模型和新加载方法进行了验证。然后,采用新的加载方法解耦了加筋板在双轴压缩下极限强度的传统隐式相互作用关系。随后,广泛地进行了结合Python代码的ABAQUS非线性有限元分析(FEA)。综合考察了板长径比、板长细比、柱长细比、纵横荷载和侧压力对纵横极限强度(LUS或TUS)的影响。总共生成了4009和2813个数据集,以建立两个人工神经网络(ANN)模型。推导出的用于预测LUS和TUS的显式公式与FE结果都显示出积极的一致性(两个测试集的R = 0.993和0.999),并且它们最终在两个友好的图形界面工具中实现。利用已报道的实验数据、经验公式和其他学者的数值结果,进一步验证了所提广义封闭公式的性能。该公式能有效地解决加筋板在不同荷载组合下的极限强度评定问题,包括:纯纵向/横向压缩、纵向/横向组合压缩;侧向压力,以及组合双轴压缩;侧压力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalized closed-form formulae for characterizing the ultimate strength envelope of ship stiffened panels subjected to combined biaxial compression and lateral pressure
Semi-analytical formula derived from numerical or experimental data is universally recognized as a powerful approach in the ultimate limit state (ULS) design of ship structures. However, it is extremely challenging to formulate a unified equation with excellent accuracy, applicability and practicality for characterizing the ultimate strength envelope of ship stiffened panels under combined biaxial compression and lateral pressure using conventional regression techniques. To address this drawback, this paper proposes a novel strategy mainly involving an equivalent sequential loading approach and artificial intelligence method. The FE model and new loading approach are validated based on the reported experimental data and classical proportional loading approach. Then, traditional implicit interaction relationship of the ultimate strength of stiffened panels under biaxial compression is decoupled by using the new loading method. Afterward, ABAQUS non-linear finite element analysis (FEA) incorporated with a Python code is conducted extensively. Influences of the plate aspect ratio, plate slenderness ratio, column slenderness ratio, transverse/longitudinal load and lateral pressure on the longitudinal/transverse ultimate strength (LUS or TUS) are comprehensively examined. In total, 4009 and 2813 datasets are numerically generated to develop two artificial neural network (ANN) models. The derived explicit formulae used to predict the LUS and TUS both reveal positive agreements with FE results (R = 0.993 and 0.999 for the two test sets), and they are eventually implemented in two user-friendly graphical interface tools. Performance of the proposed generalized closed-form formulae is further verified by using the reported experimental data, empirical formulae and numerical results of other scholars. The proposed formulae can effectively address the ultimate strength assessment of stiffened panels under different load combinations, including pure longitudinal/transverse compression, combined longitudinal/transverse compression & lateral pressure, as well as combined biaxial compression & lateral pressure.
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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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