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

{"title":"RF-DYNA — Software for optimized random finite element simulation using LS-DYNA","authors":"Adam Hassan, Fadi Oudah","doi":"10.1016/j.advengsoft.2024.103724","DOIUrl":null,"url":null,"abstract":"<div><p>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. <em>K</em>-nearest neighbors spatial interpolation and <em>k</em>-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.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"196 ","pages":"Article 103724"},"PeriodicalIF":4.0000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965997824001315","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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。

求助全文

约1分钟内获得全文去求助

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.