RF-DYNA — Software for optimized random finite element simulation using LS-DYNA

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

Advances in Engineering Software Pub Date : 2024-07-27 DOI:10.1016/j.advengsoft.2024.103724

Adam Hassan, Fadi Oudah

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引用次数: 0

Abstract

This paper presents a user-friendly software to assign spatially distributed material properties to nonlinear finite element models in LS-DYNA using discretized three dimensional random fields and random variables. The purpose of the software is to enable probabilistic analysis frameworks that incorporate results from LS-DYNA simulations with random material properties. The software leverages the existing well-established deterministic formulation of LS-DYNA by utilizing inbuilt material constitutive laws. K-nearest neighbors spatial interpolation and k-means clustering are implemented to streamline the generation and assignment of random fields to parts in LS-DYNA models. The functionality of the software is demonstrated through real-life safety assessments of two marine structural elements composed of steel-reinforced concrete. Analysis results demonstrated the robustness and efficiency of the software where it can be successfully integrated into analysis frameworks to evaluate the safety of structural members.

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RF-DYNA - 使用 LS-DYNA 进行优化随机有限元模拟的软件

本文介绍了一种用户友好型软件，可使用离散化三维随机场和随机变量为 LS-DYNA 中的非线性有限元模型分配空间分布的材料属性。该软件的目的是实现概率分析框架，将具有随机材料属性的 LS-DYNA 模拟结果纳入其中。该软件通过利用内置的材料构成规律，充分利用了 LS-DYNA 现有的成熟确定性公式。-软件采用了近邻空间插值和均值聚类技术，以简化 LS-DYNA 模型中随机场的生成和分配。通过对两个由钢筋混凝土组成的海洋结构件进行实际安全评估，展示了该软件的功能。分析结果表明了该软件的稳健性和高效性，它可以成功地集成到分析框架中，以评估结构部件的安全性。

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.