A parameterized modeling method for analyzing welding residual stress in orthotropic steel deck

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software Pub Date : 2024-08-26 DOI:10.1016/j.advengsoft.2024.103764

Wei Huang , Weikang Kong , Haizhu Xiao , Feng Qiu , Ya Wei

引用次数: 0

Abstract

This paper presents a new parameterized method for establishing OSD models and analyzing WRS, and two plugins are developed based on the graphical user interface (GUI) of Abaqus. This parameterized method addresses the extremely high cost of manual modeling of OSD in Abaqus. In the two presented plugins, the OSD dimensions and welds size, the material properties, the welding heating source, and the mesh properties are parameterized, and the OSD model can be created automatically by the plugins without users’ pre-processing operations in Abaqus, which significantly facilitates the OSD modeling and the WRS analysis. The plugins developed in this study can provide the WRS analysis in the OSD with any dimensions and welding technologies, and the applicability of the plugins is verified by the consistency between the simulated WRS analysis results by plugins and those reported in the literature.

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用于分析正交各向同性钢甲板焊接残余应力的参数化建模方法

本文提出了一种用于建立 OSD 模型和分析 WRS 的新参数化方法，并基于 Abaqus 的图形用户界面 (GUI) 开发了两个插件。这种参数化方法解决了在 Abaqus 中手动建立 OSD 模型成本极高的问题。在所介绍的两个插件中，OSD 的尺寸和焊缝大小、材料属性、焊接热源和网格属性都已参数化，无需用户在 Abaqus 中进行预处理操作，插件即可自动创建 OSD 模型，极大地方便了 OSD 建模和 WRS 分析。本研究开发的插件可在任意尺寸和焊接技术的 OSD 中进行 WRS 分析，插件模拟的 WRS 分析结果与文献报道的结果一致，验证了插件的适用性。

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

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.