Analytical and numerical analyses of thin-walled cylindrical structures in multifactorial stabilities

IF 3.6 3区材料科学 Q2 ENGINEERING, MECHANICAL

International Journal of Mechanics and Materials in Design Pub Date : 2026-02-26 DOI:10.1007/s10999-026-09888-3

J. Y. Chen, H. S. Zhou, Y. H. Xiao, X. W. Wang, Z. Zhang

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引用次数: 0

Abstract

The stability of thin-walled structures under water can be affected by many factors including initial defects and deformations/stresses. Geometric defects produced in the manufacturing process are usually randomly distributed and often difficult to quantify. Therefore, this paper studies the influence of modal amplitude defects and local Gaussian pit defects on structural stability. The modal amplitude defects are used to characterize the defect morphology of the actual structure. The experimental results show that the deviation between the numerical solution and the experimental value is 3.69%. Aiming at the problem that the deviation between the theoretical value and the experimental value gradually increases when the length-diameter ratio of the model increases in the CCS2018 specification formula. Based on the neural network prediction model, this paper proposes a geometric factor that comprehensively considers the influence of ellipticity and geometric factors to modify the specification formula. Then the quantitative relationship between structural deformation and stability is established. It is verified that the deviation between the analytical solution of the modified formula and the experimental value is 3.92%. In addition, this paper further discusses the influence of welding residual stress and deformation on the bearing capacity of the structure under external pressure. The research shows that the existence of residual stress and deformation can increase the bearing capacity of the structure under external pressure by about 8% ~ 15%.

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薄壁圆柱结构多因素稳定性的解析与数值分析

影响薄壁结构水下稳定性的因素有很多，包括初始缺陷和变形/应力。在制造过程中产生的几何缺陷通常是随机分布的，而且往往难以量化。因此，本文研究了模态振幅缺陷和局部高斯坑缺陷对结构稳定性的影响。模态振幅缺陷用来表征实际结构的缺陷形态。实验结果表明，数值解与实验值的偏差为3.69%。针对CCS2018规范公式中随着模型长径比的增大理论值与实验值之间的偏差逐渐增大的问题。在神经网络预测模型的基础上，提出了综合考虑椭圆度和几何因子影响的几何因子来修正规格公式。然后建立了结构变形与稳定性之间的定量关系。经验证，修正公式的解析解与实验值的偏差为3.92%。此外，本文还进一步讨论了焊接残余应力和变形对外部压力作用下结构承载力的影响。研究表明，残余应力和变形的存在可使结构在外压作用下的承载力提高8% ~ 15%左右。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Mechanics and Materials in Design ENGINEERING, MECHANICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

6.00

自引率

5.40%

发文量

审稿时长

>12 weeks

期刊介绍： It is the objective of this journal to provide an effective medium for the dissemination of recent advances and original works in mechanics and materials'' engineering and their impact on the design process in an integrated, highly focused and coherent format. The goal is to enable mechanical, aeronautical, civil, automotive, biomedical, chemical and nuclear engineers, researchers and scientists to keep abreast of recent developments and exchange ideas on a number of topics relating to the use of mechanics and materials in design. Analytical synopsis of contents: The following non-exhaustive list is considered to be within the scope of the International Journal of Mechanics and Materials in Design: Intelligent Design: Nano-engineering and Nano-science in Design; Smart Materials and Adaptive Structures in Design; Mechanism(s) Design; Design against Failure; Design for Manufacturing; Design of Ultralight Structures; Design for a Clean Environment; Impact and Crashworthiness; Microelectronic Packaging Systems. Advanced Materials in Design: Newly Engineered Materials; Smart Materials and Adaptive Structures; Micromechanical Modelling of Composites; Damage Characterisation of Advanced/Traditional Materials; Alternative Use of Traditional Materials in Design; Functionally Graded Materials; Failure Analysis: Fatigue and Fracture; Multiscale Modelling Concepts and Methodology; Interfaces, interfacial properties and characterisation. Design Analysis and Optimisation: Shape and Topology Optimisation; Structural Optimisation; Optimisation Algorithms in Design; Nonlinear Mechanics in Design; Novel Numerical Tools in Design; Geometric Modelling and CAD Tools in Design; FEM, BEM and Hybrid Methods; Integrated Computer Aided Design; Computational Failure Analysis; Coupled Thermo-Electro-Mechanical Designs.