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作 者:Changfu Wan Wenqiang Li Sitong Ling Yingdong Liu Jiahao Chen
机构地区:[1]School of Mechanical Engineering,Sichuan University,Chengdu,610065,China [2]Innovation Method and Creative Design Key Laboratory of Sichuan Province,Sichuan University,Chengdu,610065,China
出 处:《Computer Modeling in Engineering & Sciences》2024年第1期321-348,共28页工程与科学中的计算机建模(英文)
基 金:This work is supported by the NationalNatural Science Foundation of China(No.52075350);the Major Science and Technology Projects of Sichuan Province(No.2022ZDZX0001);the Special City-University Strategic Cooperation Project of Sichuan University and Zigong Municipality(No.2021CDZG-3).
摘 要:Regarding the spatial profile extraction method of a multi-field co-simulation dataset,different extraction directions,locations,and numbers of profileswill greatly affect the representativeness and integrity of data.In this study,a multi-field co-simulation data extractionmethod based on adaptive infinitesimal elements is proposed.Themultifield co-simulation dataset based on related infinitesimal elements is constructed,and the candidate directions of data profile extraction undergo dimension reduction by principal component analysis to determine the direction of data extraction.Based on the fireworks algorithm,the data profile with optimal representativeness is searched adaptively in different data extraction intervals to realize the adaptive calculation of data extraction micro-step length.The multi-field co-simulation data extraction process based on adaptive microelement is established and applied to the data extraction process of the multi-field co-simulation dataset of the sintering furnace.Compared with traditional data extraction methods for multi-field co-simulation,the approximate model constructed by the data extracted from the proposed method has higher construction efficiency.Meanwhile,the relative maximum absolute error,root mean square error,and coefficient of determination of the approximationmodel are better than those of the approximation model constructed by the data extracted from traditional methods,indicating higher accuracy,it is verified that the proposed method demonstrates sound adaptability and extraction efficiency.
关 键 词:Multi-field co-simulation adaptive infinitesimal elements principal component analysis fireworks algorithm sintering furnace simulation
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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