Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation
The inverse finite element method (iFEM) for the 3D framework deformation reconstruction was introduced. As the process of iFEM did not require a priori knowledge, such as the modal shape, the loading, and the elastic-inertial material information of the structure, it presented high potential in the...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/6121293 |
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| _version_ | 1832566807370661888 |
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| author | Yong Zhao Jingli Du Hong Bao Qian Xu |
| author_facet | Yong Zhao Jingli Du Hong Bao Qian Xu |
| author_sort | Yong Zhao |
| collection | DOAJ |
| description | The inverse finite element method (iFEM) for the 3D framework deformation reconstruction was introduced. As the process of iFEM did not require a priori knowledge, such as the modal shape, the loading, and the elastic-inertial material information of the structure, it presented high potential in the framework deformation reconstruction. With the current research, it was observed that the key step in the deformation reconstruction of the frame structure with iFEM was the section strains computing of the beam element from the surface strain measurements. The corresponding stability was severely affected by the placement of strain sensors. Therefore, it was necessary to discover a suitable sensor placement to maintain the stability of section strains computing. For this problem, one optimal model of sensor placement was proposed in this paper. Firstly, the well-separated eigenvalues were applied as the optimization target to construct the optimal model. Following, an optimal sensor placement was obtained through the optimal placement model solution, with the particle swarm optimization (PSO) method. Finally, the effectiveness of optimal placement was verified though the accuracy comparison of iFEM deformation reconstruction of a wing-like frame subjected to various loads for different schemes of sensor placement. |
| format | Article |
| id | doaj-art-31eb2164801b440fba28a03649b2ec1d |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-31eb2164801b440fba28a03649b2ec1d2025-02-03T01:02:58ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742018-01-01201810.1155/2018/61212936121293Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame DeformationYong Zhao0Jingli Du1Hong Bao2Qian Xu3Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Equipment Structure Design, Ministry of Education, Xidian University, Xi’an 710071, ChinaKey Laboratory of Electronic Equipment Structure Design, Ministry of Education, Xidian University, Xi’an 710071, ChinaXinjiang Observatory, National Astronomical Observatories, Chinese Academy of Sciences, Urumqi 830011, ChinaThe inverse finite element method (iFEM) for the 3D framework deformation reconstruction was introduced. As the process of iFEM did not require a priori knowledge, such as the modal shape, the loading, and the elastic-inertial material information of the structure, it presented high potential in the framework deformation reconstruction. With the current research, it was observed that the key step in the deformation reconstruction of the frame structure with iFEM was the section strains computing of the beam element from the surface strain measurements. The corresponding stability was severely affected by the placement of strain sensors. Therefore, it was necessary to discover a suitable sensor placement to maintain the stability of section strains computing. For this problem, one optimal model of sensor placement was proposed in this paper. Firstly, the well-separated eigenvalues were applied as the optimization target to construct the optimal model. Following, an optimal sensor placement was obtained through the optimal placement model solution, with the particle swarm optimization (PSO) method. Finally, the effectiveness of optimal placement was verified though the accuracy comparison of iFEM deformation reconstruction of a wing-like frame subjected to various loads for different schemes of sensor placement.http://dx.doi.org/10.1155/2018/6121293 |
| spellingShingle | Yong Zhao Jingli Du Hong Bao Qian Xu Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation International Journal of Aerospace Engineering |
| title | Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation |
| title_full | Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation |
| title_fullStr | Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation |
| title_full_unstemmed | Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation |
| title_short | Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation |
| title_sort | optimal sensor placement for inverse finite element reconstruction of three dimensional frame deformation |
| url | http://dx.doi.org/10.1155/2018/6121293 |
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