Digital Twin-Driven Modeling and Application of High-Temperature Biaxial Materials Testing Apparatus  

作　　者：Xiyu Gao Peng Liu Anran Zhao Guotai Huang Jianhai Zhang Liming Zhou 

机构地区：[1]School of Mechanical and Aerospace Engineering,Jilin University,Changchun,130025,China

出　　处：《Computers, Materials & Continua》2025年第3期4137-4159,共23页计算机、材料和连续体(英文)

基　　金：supported by Natural Science Foundation of China(NSFC),Grant Number 5247052693.

摘　　要：The High-Temperature Biaxial Testing Apparatus(HTBTA)is a critical tool for studying the damage and failure mechanisms of heat-resistant composite materials under extreme conditions.However,existing methods for managing and monitoring such apparatus face challenges,including limited real-time modeling capabilities,inadequate integration of multi-source data,and inefficiencies in human-machine interaction.To address these gaps,this study proposes a novel digital twin-driven framework for HTBTA,encompassing the design,validation,operation,and maintenance phases.By integrating advanced modeling techniques,such as finite element analysis and Long Short-Term Memory(LSTM)networks,the digital twin enables high-fidelity simulation,real-time predictive modeling,and robust remote monitoring of HTBTA.The research contributes to bridging the knowledge gap in applying digital twin technology to high-temperature multi-axial testing systems.Unlike existing solutions,the proposed approach achieves synchronization error,real-time monitoring with ms delay,and predictive accuracy for temperature<2%<100distributions under extreme conditions up to 2500℃.The findings highlight the effectiveness of the digital twin in improving system reliability,enhancing interaction efficiency,and reducing maintenance costs.This study not only advances the application of digital twin technology in high-temperature material testing but also establishes a foundation for broader adoption in aerospace,automotive,and other industrial sectors.Future research directions include exploring non-proportional loading scenarios,expanding multi-environment simulations,and integrating in-situ observation techniques.

关 键 词：Digital twin HTBTA remote monitoring LSTM 

分 类 号：TN9[电子电信—信息与通信工程]