Leiting Dong

Latest

• Structural damage diagnosis and prognosis with fleet digital twin considering similarity of individual structural features
• Parametric Symbolic Regression for Discovering Unified Crack Growth Models from Diverse Experiments
• Real-Time In-Service Load Tracking Toward Airframe Digital Twins
• Variational Neural Network Embedded with Digital Twins for Probabilistic Structural Damage Quantification
• ON THE DEVELOPMENT OF THE STRUCTURAL DIGITAL TWIN OF AN UNMANNED AERIAL VEHICLE
• In-service Load Monitoring for an UAV Digital Twin
• B-Spline Surface-Based Reduced-Order Modeling of Nonplanar Crack Growth in Structural Digital Twins
• Copula-Based Collaborative Multistructure Damage Diagnosis and Prognosis for Fleet Maintenance Digital Twins
• Generating High-Resolution Flight Parameters in Structural Digital Twins Using Deep Learning-based Upsampling
• Setting Adaptive Inspection Intervals in Helicopter Components, Based on a Digital Twin
• A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification for Structural Digital Twin
• Cluster-Based Joint Distribution Adaptation Method for Debonding Quantification in Composite Structures
• Weakly Singular Symmetric Galerkin Boundary Element Method for Fracture Analysis of Three-Dimensional Structures Considering Rotational Inertia and Gravitational Forces
• Real-Time Prediction of Probabilistic Crack Growth with a Helicopter Component Digital Twin
• An Intelligent Digital-Twin-Based Strategy for the Inspection and Maintenance of Aircraft Skin Cracks
• Key technologies for modeling and simulation of airframe digital twin