- Structural Analysis and Optimization
- Advanced DC-DC Converters
- Microgrid Control and Optimization
- Topology Optimization in Engineering
- Mechanical Behavior of Composites
- Magnetic Properties and Applications
- Advanced Mathematical Modeling in Engineering
- Composite Structure Analysis and Optimization
- Textile materials and evaluations
- Advanced Materials and Mechanics
- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Innovations in Concrete and Construction Materials
- Power Transformer Diagnostics and Insulation
- Power Quality and Harmonics
- Composite Material Mechanics
State Key Laboratory of Electrical Insulation and Power Equipment
2022-2025
Xi'an Jiaotong University
2022-2025
Due to the inherent viscoelasticity of constituent matrix and possibility long-term storage, space deployable structures made composites are likely exhibit relaxation in stored strain energy, which may degrade their deployment performance. This paper presents a bottom-up finite element based multiscale computational strategy that bridges experimentally measurable properties fibers numerical predictions viscoelastic behavior composite laminates general shell structures. A user-friendly RVE...
Hybrid distribution transformer (HDT) is realized by augmenting the traditional low-frequency with a fractionally rated converter. This article improves HDT topology assembling <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCL</i> -type converters and presents grid currents load voltages quasi-proportional-resonant (PR) control strategies for this improved HDT. The PR schemes are developed based on established stationary frame dynamic...
Composite tape-spring hinge (CTSH) is a simple yet elegant mechanical component for various deployable space structures. This paper formulates and addresses cut-out shape optimization of CTSH, which seldom touched upon in literature. Both the maximum strain energy stored during folding process as well bending moment deployment were maximized concurrent way, multi-objective problem was realized by merging data-driven surrogate modeling optimization. Four different techniques (radial basis...