Inverse multi-parameter analysis of oblique incidence laser interaction based on a multivariate thermal-mechanical response
文献类型:期刊论文
作者 | Du WQ(杜文琦)2,3; Ma T(马特)2,3; Lu LL(路玲玲)2,3![]() ![]() ![]() |
刊名 | THIN-WALLED STRUCTURES
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出版日期 | 2025-05-01 |
卷号 | 210页码:16 |
关键词 | Laser identification Multi-parameter inverse problem solution Oblique incidence Multivariate thermal-mechanical response Physics-guided neural network |
ISSN号 | 0263-8231 |
DOI | 10.1016/j.tws.2025.112970 |
通讯作者 | Lu, Lingling(lulingling@imech.ac.cn) |
英文摘要 | Laser identification of aircraft in service is beneficial for collecting environmental information and rapidly avoiding risks. In this paper, the thermal-mechanical response of honeycomb sandwich structures irradiated by the high-energy continues-wave laser is investigated. A physics-guided neural network method, based on the multivariate thermal-mechanical response is developed to solve the laser identification problems, especially the laser multi-parameter identification in complex oblique incidence. The dataset is built based on three thermalmechanical characteristic parameters: the temperature variation rate, the generalized temperature gradient, and thermal strain. These parameters better characterize the laser irradiation process and work in concert with the physics-guided neural network to improve inversion accuracy. In this work, three parameters of the laser are simultaneously inverted: angle of incidence, laser diameter and laser power. The proposed method is verified through simulation analysis and laser irradiation experiments. The effects of the physics-guided loss function and multivariate information fusion are discussed, and it is found that the results based on the proposed method are significantly better than those based on the non-physics guided method. Additionally, the results from thermalmechanical information fusion are superior to those obtained from the single temperature response. |
分类号 | 一类 |
资助项目 | National Natural Science Foundation of China[11972033] ; National Natural Science Foundation of China[12272379] ; National Natural Science Foundation of China[12402181] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB0620302] ; CPSF[GZB20240774] |
WOS研究方向 | Engineering ; Mechanics |
语种 | 英语 |
WOS记录号 | WOS:001411607200001 |
资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; CPSF |
其他责任者 | Lu, Lingling |
源URL | [http://dspace.imech.ac.cn/handle/311007/98300] ![]() |
专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
作者单位 | 1.Harbin Engn Univ, Sch Mech & Elect Engn, Harbin 150001, Peoples R China 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Key Lab Mech Fluid Solid Coupling Syst, Inst Mech, Beijing 100190, Peoples R China; |
推荐引用方式 GB/T 7714 | Du WQ,Ma T,Lu LL,et al. Inverse multi-parameter analysis of oblique incidence laser interaction based on a multivariate thermal-mechanical response[J]. THIN-WALLED STRUCTURES,2025,210:16. |
APA | 杜文琦.,马特.,路玲玲.,宋宏伟.,刘赟浩.,...&黄晨光.(2025).Inverse multi-parameter analysis of oblique incidence laser interaction based on a multivariate thermal-mechanical response.THIN-WALLED STRUCTURES,210,16. |
MLA | 杜文琦,et al."Inverse multi-parameter analysis of oblique incidence laser interaction based on a multivariate thermal-mechanical response".THIN-WALLED STRUCTURES 210(2025):16. |
入库方式: OAI收割
来源:力学研究所
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