A neural network-assisted 3D theoretical thermoelastic solution for laminated liquid crystal elastomer plate used in restoring cardiac mechanical function
文献类型：期刊论文
| 作者 | J. Wang; W. Y. Yuan; Z. C. Li; Y. Trofimov; S. Lishik and J. J. Fan |
| 刊名 | Journal of the Mechanical Behavior of Biomedical Materials
 |
| 出版日期 | 2022 |
| 卷号 | 136页码:15 |
| ISSN号 | 1751-6161 |
| DOI | 10.1016/j.jmbbm.2022.105478 |
| 英文摘要 | Some atrial contractile assist devices applied on the heart surface can be regarded as a laminated Liquid crystal elastomer (LCE) plate under steady temperature loads and a contact mechanical force. An exact solution for the deformation of the laminated LCE plate under combined thermal and mechanical loads is derived by solving the three-dimensional (3D) equilibrium equations including heat conduction and thermoelastic theory. The validity of mathematical formula and computer programming is proved by convergence and comparison examples with finite element method (FEM). In order to simplify the complex calculation of exact solution, a back propagation neural network (BPNN) is further trained with a database containing 9504 sets of thermo-mechanical load conditions and their corresponding deformation which is solved by the exact solutions. Then the deformations of LCE plate subject to combined thermo-mechanical load can be predicted by this BP neural network instead of complex numerical calculation. Moreover, it is also applied to inverse the contact mechanical force at the bottom surface of LCE plate with a given deformation and temperature conditions. The results show that: (1) The results from the exact theoretical solution are in consistence with that from FEM but have a higher computational ef-ficiency and stability; (2) The deformation of the laminated plate is more sensitive to the layered thickness of LCE than the variation of the temperature; (3) 3-D elasticity solutions of a laminated LCE plate under the combined thermos-mechanical load can be effectively predicted by a trained BP neural network. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/66901]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | J. Wang,W. Y. Yuan,Z. C. Li,et al. A neural network-assisted 3D theoretical thermoelastic solution for laminated liquid crystal elastomer plate used in restoring cardiac mechanical function[J]. Journal of the Mechanical Behavior of Biomedical Materials,2022,136:15. |
| APA | J. Wang,W. Y. Yuan,Z. C. Li,Y. Trofimov,&S. Lishik and J. J. Fan.(2022).A neural network-assisted 3D theoretical thermoelastic solution for laminated liquid crystal elastomer plate used in restoring cardiac mechanical function.Journal of the Mechanical Behavior of Biomedical Materials,136,15. |
| MLA | J. Wang,et al."A neural network-assisted 3D theoretical thermoelastic solution for laminated liquid crystal elastomer plate used in restoring cardiac mechanical function".Journal of the Mechanical Behavior of Biomedical Materials 136(2022):15. |
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