Yu Zexing, Ma Xiaofei, Zhu Jialong, Zhang Dayu, Xue Yonggang, Huang Pengfei, Li Yichen, Li Hao
Xi'an Institute of Space Radio Technology, Xi'an 710100, China.
Sensors (Basel). 2025 Jan 19;25(2):558. doi: 10.3390/s25020558.
The deformation monitoring of integrated truss structures (ITSs) is essential for ensuring the reliable performance of mounted equipment in complex space environments. Reconstruction methods based on local strain information have been proven effective, yet the identification faces significant challenges due to variable thermal-mechanical loads, interactions among structural components, and special boundary conditions. This paper proposes a deformation reconstruction strategy tailored for ITSs under combined thermal-mechanical load scenarios wherein deformations of both the primary truss structures and the attached panel systems are investigated. The proposed approach utilizes Ko displacement theory as the core algorithm, while the least squares optimization method is employed to determine the integration with unknown initial values during the reconstruction process. Validation is conducted through diverse load scenarios, and the reconstruction results are evaluated using errors based on the root mean square. The result demonstrates that the proposed method can reconstruct deformations of truss structures under both mechanical and thermal loads. Furthermore, the optimization-based approach achieves accurate reconstructed results in the case of panels with two-point fixed boundary conditions. This study provides an effective strategy for in-orbit deformation reconstruction, addressing challenges posed by complex loads and structural configurations.
集成桁架结构（ITS）的变形监测对于确保复杂空间环境中安装设备的可靠性能至关重要。基于局部应变信息的重建方法已被证明是有效的，但由于热机械载荷变化、结构部件之间的相互作用以及特殊边界条件，识别面临重大挑战。本文提出了一种针对热机械联合载荷场景下的ITS的变形重建策略，其中研究了主桁架结构和附属面板系统的变形。所提出的方法以柯位移理论为核心算法，同时采用最小二乘优化方法来确定重建过程中未知初始值的积分。通过不同的载荷场景进行验证，并使用基于均方根的误差来评估重建结果。结果表明，所提出的方法可以重建桁架结构在机械载荷和热载荷下的变形。此外，基于优化的方法在面板具有两点固定边界条件的情况下实现了准确的重建结果。本研究为在轨变形重建提供了一种有效策略，解决了复杂载荷和结构配置带来的挑战。
