Digital Twin Ship Monitoring Calculation Solver Based on Finite Element Analysis

This study proposes and implements a shaft deformation solver based on finite element analysis (FEA) technology, which can be used in a digital twin real-time monitoring platform for ship shafts. By building a real-time data transmission channel and integrating FEA technology, a digital twin simulation platform was constructed, enabling real-time monitoring and analysis of shaft data. Experimental results show that the difference between FEA simulation results and real-world results does not exceed one-thousandth, verifying the high precision and reliability of this platform, and demonstrating the potential and feasibility of this research direction. The method proposed in this paper, combining digital twin technology with FEA, significantly enhances the real-time performance and accuracy of data-driven models. By performing simulation modeling of mesh data and node coordinates in ANSYS software, exporting X, Y, and Z directional deformation data after FEA, and reversely building a virtual FEA platform, more efficient FEA can be conducted on this platform. This method not only improves computational efficiency and accuracy but also provides new solutions for remote monitoring and predictive maintenance of ship shafts. Through this approach, ship operators can access real-time operational data and virtual models of ship shafts on a cloud platform, achieving intelligent monitoring and management.