Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method
As the preventive maintenance paradigm transfers to condition-based maintenance, deformation monitoring has become a fundamental system capacity in aerospace engineering. In this study, a novel shape sensing method is proposed for accurate and efficient reconstruction of full-field deformation of th...
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sg-ntu-dr.10356-1711932023-10-17T02:41:32Z Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method Yu, Dewen Wang, Shun Li, Weidong Yang, Yaowen Hong, Jun School of Civil and Environmental Engineering School of Mechanical and Aerospace Engineering Engineering::Civil engineering Engineering::Mechanical engineering Deformation Reconstruction Thin Shell Structure As the preventive maintenance paradigm transfers to condition-based maintenance, deformation monitoring has become a fundamental system capacity in aerospace engineering. In this study, a novel shape sensing method is proposed for accurate and efficient reconstruction of full-field deformation of thin shell structures from discrete strain measurements. Firstly, a flexible isogeometric approach based on the geometry-independent field approximation is developed for characterizing the geometric and physical domains, which fully unlocks the potential of local refinement while preserving the original exact geometry without re-parameterization. On this basis, a posteriori error estimation algorithm is put forward to automatically drive the adaptive refinement procedure, reducing the discretization error with a fast convergence rate. Subsequently, according to the Kirchhoff-Love theory and the least-squares variational principle, an isogeometric inverse-shell element is created to integrate the inherent advantages of adaptive isogeometric analysis with excellent shape-sensing capabilities of the inverse finite element method. Moreover, a smoothing technique is applied to replenish strain data into each inverse shell element, by which the compatibility between the interpolated and measured strain components is also enforced. Finally, the excellent accuracy and efficiency of the proposed deformation reconstruction framework are verified using both experimental and numerical strain data for two thin-shell spaceborne antennas. 2023-10-17T02:41:32Z 2023-10-17T02:41:32Z 2023 Journal Article Yu, D., Wang, S., Li, W., Yang, Y. & Hong, J. (2023). Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method. Thin-Walled Structures, 192, 111154-. https://dx.doi.org/10.1016/j.tws.2023.111154 0263-8231 https://hdl.handle.net/10356/171193 10.1016/j.tws.2023.111154 2-s2.0-85170414640 192 111154 en Thin-Walled Structures © 2023 Elsevier Ltd. All rights reserved. |
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Engineering::Civil engineering Engineering::Mechanical engineering Deformation Reconstruction Thin Shell Structure Yu, Dewen Wang, Shun Li, Weidong Yang, Yaowen Hong, Jun Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method |
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As the preventive maintenance paradigm transfers to condition-based maintenance, deformation monitoring has become a fundamental system capacity in aerospace engineering. In this study, a novel shape sensing method is proposed for accurate and efficient reconstruction of full-field deformation of thin shell structures from discrete strain measurements. Firstly, a flexible isogeometric approach based on the geometry-independent field approximation is developed for characterizing the geometric and physical domains, which fully unlocks the potential of local refinement while preserving the original exact geometry without re-parameterization. On this basis, a posteriori error estimation algorithm is put forward to automatically drive the adaptive refinement procedure, reducing the discretization error with a fast convergence rate. Subsequently, according to the Kirchhoff-Love theory and the least-squares variational principle, an isogeometric inverse-shell element is created to integrate the inherent advantages of adaptive isogeometric analysis with excellent shape-sensing capabilities of the inverse finite element method. Moreover, a smoothing technique is applied to replenish strain data into each inverse shell element, by which the compatibility between the interpolated and measured strain components is also enforced. Finally, the excellent accuracy and efficiency of the proposed deformation reconstruction framework are verified using both experimental and numerical strain data for two thin-shell spaceborne antennas. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Yu, Dewen Wang, Shun Li, Weidong Yang, Yaowen Hong, Jun |
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Article |
author |
Yu, Dewen Wang, Shun Li, Weidong Yang, Yaowen Hong, Jun |
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Yu, Dewen |
title |
Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method |
title_short |
Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method |
title_full |
Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method |
title_fullStr |
Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method |
title_full_unstemmed |
Shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method |
title_sort |
shape sensing for thin-shell spaceborne antennas with adaptive isogeometric analysis and inverse finite element method |
publishDate |
2023 |
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https://hdl.handle.net/10356/171193 |
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1781793814522888192 |