A5100674650- Advanced Multi-Objective Optimization Algorithms
- Cellular and Composite Structures
- ZnO doping and properties
- Structural Response to Dynamic Loads
- High-Velocity Impact and Material Behavior
- Fluid Dynamics Simulations and Interactions
- Metaheuristic Optimization Algorithms Research
- Composite Structure Analysis and Optimization
- Thin-Film Transistor Technologies
- Gas Sensing Nanomaterials and Sensors
- Ferroelectric and Piezoelectric Materials
- Numerical methods in engineering
- Probabilistic and Robust Engineering Design
- Luminescence Properties of Advanced Materials
- Material Properties and Processing
- Polymer composites and self-healing
- Structural Analysis of Composite Materials
- Topology Optimization in Engineering
- Optimal Experimental Design Methods
- Radiation Detection and Scintillator Technologies
- Ga2O3 and related materials
- Metal Forming Simulation Techniques
- Mechanical Behavior of Composites
- Microwave Dielectric Ceramics Synthesis
- Dielectric properties of ceramics
Dalian University of Technology
2011-2024
Huazhong University of Science and Technology
2015-2024
Wuhan National Laboratory for Optoelectronics
2021-2024
Wuhan Institute of Technology
2005-2024
Jiangsu University
2008-2024
Hunan University of Traditional Chinese Medicine
2024
Guizhou Minzu University
2022-2024
Naval University of Engineering
2019-2023
Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2018-2023
Northwestern Polytechnical University
2007-2023
The existing multiobjective expected improvement (EI) criteria are often computationally expensive because they calculated using multivariate piecewise integrations, the number of which increases exponentially with objectives. In order to solve this problem, paper proposes a new approach develop cheap-to-evaluate EI based on proposed matrix (EIM). elements in EIM single-objective EIs that studying point has beyond each Pareto front approximation objective. Three developed by combining into...
This paper introduces a hybrid intelligent framework that combines Bayesian optimization (BO), random forest (RF) model, and the nondominated sorting genetic algorithm-III (NSGA-III) for control of tunnel shield construction parameters. The BO-RF method establishes nonlinear mapping function between input variables three targets, surface settlement, cutter wear, advance speed, serving as fitness NSGA-III. Model interpretability analysis is conducted using Shapley Additive ExPlanations...
The use of computer experiments and surrogate approximations (metamodels) introduces a source uncertainty in simulation-based design that we term model interpolation uncertainty. Most existing approaches for treating have been developed deterministic optimization are not applicable to under which randomness is present noise and/or variables. Because the random variables also inputs metamodel, effects metamodel nearly as transparent optimization. In this work, methodology within Bayesian...
In the present study, a 2D-based large-scale metallic auxetic double arrowhead honeycomb core sandwich panel (DAHSP) was proposed and its deformation response, energy dissipation characteristics associated mechanisms under air blasts were investigated using validated numerical model. It aims at performance improvement of DAHSPs through design relative density with respect to different strategies. The considered mainly experienced local dome superimposed upon global front face back face,...
This paper focuses on the effect of aluminum additive electrical properties ZnO varistors. From normalized current density versus electric field ( J–E ) curves, influence Al ionic leakage and residual voltage ratio sample is very intuitive. The barrier height grain boundary decreases with an increase in dopant, but donor increases first then decreases, which reaches maximum while 0.25% added. changes unevenness sizes. Furthermore, factors are analyzed.
The ANSYS/Autodyn software was employed to investigate the dynamic responses of foam-filled corrugated core sandwich panels under air blast loading. were assembled from metallic face sheets and webs, PVC foam inserts with different filling strategies. To calibrate proposed numerical model, simulation results compared experimental data reported previously. response also that empty (unfilled) panels. Numerical show fluid–structure interaction effect dominated by front regardless fillers. Foam...
This research aims to improve the blast performance of trapezoidal corrugated core sandwich panel under air loading. A finite element model for prediction dynamic responses was first proposed and validated by experiments. Based on simulation results, kriging models were established approximate relationships between design variables performances, correlation analyses carried out investigate effects maximum back face deflection specific energy absorption. It is found that any decrease in would...