Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model
The thermal-structural-optical multi-physical coupling analysis (TSO-MCA) of infrared optical systems and their mirrors during the establishment of a cryogenic environment is a complex multi-physical coupling problem involving mechanics, thermal, optics and other factors. Currently, the finite eleme...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10844289/ |
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| author | Wenxiong Li Junli Shen Zhenyu Lu Shudong Men Qingwen Wu |
| author_facet | Wenxiong Li Junli Shen Zhenyu Lu Shudong Men Qingwen Wu |
| author_sort | Wenxiong Li |
| collection | DOAJ |
| description | The thermal-structural-optical multi-physical coupling analysis (TSO-MCA) of infrared optical systems and their mirrors during the establishment of a cryogenic environment is a complex multi-physical coupling problem involving mechanics, thermal, optics and other factors. Currently, the finite element method’s workflow is complex and cumbersome, and it cannot simulate the continuous process of establishing a cryogenic environment. Therefore, a surrogate modeling approach based on a neural network for the TSO-MCA of mirrors has been proposed to analyze the surface shape of optical system mirrors under the action of multi-physical fields. Firstly, a thermal-structural-optical multi-physical integrated chain(TSO-IC) is established by integrating various disciplinary simulation and analysis tools, through which computational data necessary for the surrogate model are acquired. Secondly, a hybrid network combining Transformer and Long Short-Term Memory (LSTM) networks is proposed. The high-precision TSO-MCA surrogate model is obtained through training and K-fold cross validation. Compared with traditional methods, the hybrid network has the smallest symmetric mean absolute percentage error (SMAPE) of 2.674% on the same test set, which indicates that the hybrid network obtains a higher prediction accuracy of the surrogate model. Finally, through the thermal structure-optical coupling analysis of a mirror of an optical system, it is shown that the high precision mirror TSO-MCA based on the surrogate model is 3 orders of magnitude faster than the traditional finite element analysis in terms of computation time, indicating that the surrogate model is more efficient and convenient. |
| format | Article |
| id | doaj-art-c7e3c1da1abc4620b39598aed90c6f10 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
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| spelling | doaj-art-c7e3c1da1abc4620b39598aed90c6f102025-01-25T00:02:56ZengIEEEIEEE Access2169-35362025-01-0113141131412110.1109/ACCESS.2025.353097810844289Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate ModelWenxiong Li0https://orcid.org/0009-0002-5757-8252Junli Shen1https://orcid.org/0000-0002-1768-6411Zhenyu Lu2Shudong Men3Qingwen Wu4Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics, and Physics, Changchun, Jilin, ChinaChinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics, and Physics, Changchun, Jilin, ChinaChinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics, and Physics, Changchun, Jilin, ChinaChinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics, and Physics, Changchun, Jilin, ChinaChinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics, and Physics, Changchun, Jilin, ChinaThe thermal-structural-optical multi-physical coupling analysis (TSO-MCA) of infrared optical systems and their mirrors during the establishment of a cryogenic environment is a complex multi-physical coupling problem involving mechanics, thermal, optics and other factors. Currently, the finite element method’s workflow is complex and cumbersome, and it cannot simulate the continuous process of establishing a cryogenic environment. Therefore, a surrogate modeling approach based on a neural network for the TSO-MCA of mirrors has been proposed to analyze the surface shape of optical system mirrors under the action of multi-physical fields. Firstly, a thermal-structural-optical multi-physical integrated chain(TSO-IC) is established by integrating various disciplinary simulation and analysis tools, through which computational data necessary for the surrogate model are acquired. Secondly, a hybrid network combining Transformer and Long Short-Term Memory (LSTM) networks is proposed. The high-precision TSO-MCA surrogate model is obtained through training and K-fold cross validation. Compared with traditional methods, the hybrid network has the smallest symmetric mean absolute percentage error (SMAPE) of 2.674% on the same test set, which indicates that the hybrid network obtains a higher prediction accuracy of the surrogate model. Finally, through the thermal structure-optical coupling analysis of a mirror of an optical system, it is shown that the high precision mirror TSO-MCA based on the surrogate model is 3 orders of magnitude faster than the traditional finite element analysis in terms of computation time, indicating that the surrogate model is more efficient and convenient.https://ieeexplore.ieee.org/document/10844289/Thermal-structural-optical coupledmirrorsurrogate modelmulti-physicsneural network |
| spellingShingle | Wenxiong Li Junli Shen Zhenyu Lu Shudong Men Qingwen Wu Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model IEEE Access Thermal-structural-optical coupled mirror surrogate model multi-physics neural network |
| title | Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model |
| title_full | Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model |
| title_fullStr | Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model |
| title_full_unstemmed | Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model |
| title_short | Multi-Physical Intelligent Analysis of the Thermal-Structural-Optical Coupling for Mirror Based on Surrogate Model |
| title_sort | multi physical intelligent analysis of the thermal structural optical coupling for mirror based on surrogate model |
| topic | Thermal-structural-optical coupled mirror surrogate model multi-physics neural network |
| url | https://ieeexplore.ieee.org/document/10844289/ |
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