Implementation of a mixed digital twin monitoring model for deformation field of marine pressure bearing structures

Objective This paper puts forward a hybrid digital twin monitoring system for structural health to realize the whole-life health monitoring of ships.

Method The proposed model collects and feeds back the deformation of key cabin structures in real time in order to improve the information and safety management capabilities of shipping. The singular value decomposition method is used to compress and reduce the dimensions of the physical field information formed by multiple groups of loads to obtain the specific standard orthogonal basis, create the response surface model of the relationship between the basis vector and the load, and output a finite element reduced order model based on the real-time input load. The Kriging interpolation algorithm based on geostatistics is used to arrange points according to the specific topological structure, and the real-time sensor data and supplementary point data output by the reduced model are fused and corrected through the Kalman filter algorithm to jointly calculate the deformation of the monitored object. Finally, through the construction of a deformation monitoring software and hardware system, the whole process of physical characteristic collection and visualization is realized.

Results Under the preset load, the hardware acquisition system can stably collect data while the supporting application program can visualize the acquisition process in real time according to the expected requirements.

Conclusion The proposed structural health hybrid digital twin monitoring system meets the needs of ship health monitoring and has certain reference significance for the future development of highly integrated and intelligent ships.