摘要
近几年,研究人员提出了一种结构与性能结合的数字孪生技术,能够解决一些生产制造系统不可观测性、时变性和设备空间的局限性等问题,有效对研究对象的关键部位进行实时性能预测。对结构与性能结合的数字孪生技术的现有研究进行总结整理。首先从实时性能、数据获取、分析技术等方面,将其与传统数字孪生技术进行对比,同时阐述了两项技术的功能、优点以及应用场景。其次,从结构与性能结合的数字孪生技术实现框架入手介绍其各组成部分,包括代理模型、实时有限元分析、物理虚拟场景构建等组成部分。最后,对该技术的未来发展趋势进行了展望。
In recent years,researchers have proposed a digital twin technology combining shape and performance,which can solve some problems such as the unobstructibility and time-variability of production and manufacturing systems,and the limitation of equipment space,and can also effectively predict the real-time performance of key parts of the research object.The existing research on digital twin technology combining shape and performance was summarized.Firstly,the comparison between it and traditional digital twin technology was carried out in terms of real-time performance,data acquisition and analysis technology.Then,the functions,advantages and application scenarios of the two technologies were expounded.Secondly,the components of the digital twin technology combining shape and performance were introduced starting from its implementation framework.Finally,the future development trend of this technology was prospected.
作者
袁美霞
谢晓瑄
马利平
YUAN Mei-xia;XIE Xiao-xuan;MA Li-ping(School of Mechanical-Electronic and Vehicle Engineering,Beijing University of Civil Engineering and Architecture,Beijing 102612,China;Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles,Beijing 102612,China)
出处
《科学技术与工程》
北大核心
2024年第27期11505-11518,共14页
Science Technology and Engineering
基金
国家自然科学基金(52105426)。
关键词
数字孪生
结构-性能结合
代理模型
可视化
实时有限元
digital twin
shape-performance combination
surrogate model
visualization
real-time finite element
