A5101811689- Diamond and Carbon-based Materials Research
- Geoscience and Mining Technology
- Geomechanics and Mining Engineering
- Infrastructure Maintenance and Monitoring
- Manufacturing Process and Optimization
- Energetic Materials and Combustion
- Nonlinear Optical Materials Research
- Fuel Cells and Related Materials
- Erosion and Abrasive Machining
- Advanced Measurement and Detection Methods
- Structural Analysis and Optimization
- Solid-state spectroscopy and crystallography
- Injection Molding Process and Properties
- Transportation and Mobility Innovations
- Vehicle Routing Optimization Methods
- Mechanical Engineering and Vibrations Research
- Non-Destructive Testing Techniques
- Advanced Optical Sensing Technologies
- Metal Forming Simulation Techniques
- Advanced machining processes and optimization
- Composite Structure Analysis and Optimization
- Structural Engineering and Vibration Analysis
- Climate Change Policy and Economics
- Environmental Impact and Sustainability
- Urban and Freight Transport Logistics
Harbin Institute of Technology
2024
Zhejiang University of Technology
2011-2023
University of Electronic Science and Technology of China
2019
Shot peening is a surface-strengthening process that widely used in various industries, such as aerospace, automotive, and biomedical engineering. The involves the impact of small, spherical media, called shots, onto surface material, resulting residual compressive stress improved properties. This review aims to provide an overview state art perspectives on strengthening by shot peening. covers aspects peening, including parameters, materials, quality control techniques. advantages...
The stress intensity factor represents a vital parameter within the realm of linear elastic fracture mechanics. It acts as cornerstone in determining crack propagation and evaluating damage tolerance. However, calculating this is complex task. To surmount challenge, models for both edge center cracks were developed using extended finite element method. result effort ability to calculate at tip under different loads normalized lengths. accuracy these calculations was confirmed by comparing...
Abstract To solve the high cost of bridge load tests, considerable influence on traffic, and damage to structure in process problem detection maintenance existing bridges, we use method improved Gaussian response surface explore prediction rigidity unit weight bridges produce high‐precision predictions static test. The Bayesian principle is adopted optimize correct model. Because a non‐parameter model with sensitivity, reliable accuracy, small calculation, it avoids repeatedly using finite...
A statistical model of dynamic spall damage due to void nucleation and growth is proposed for ductile materials under intense loading, which takes into account inertia, the elastic-plastic effect, initial size. To some extent, interaction could be accounted in this approach. Based on model, simulation experiments copper performed by using Lagrangian finite element method. The results are good agreement with experimental data free surface velocity profile, stress record behind target, final...
Controlling the large deformation caused by bed separation failure of thick and soft surrounding rock in gob-side entry retaining is difficult. The modes are summarized classified based on field research, theoretical analysis, laboratory tests, actual measurements. Systematic research conducted lithologic characteristics, control methods rock. findings as follows: (1) low strength, softening, water swelling mudstone, well its cataclasis, dilatancy, long-term creep under strong mining high...
The initiative of green logistics promoted the application electric vehicle in field and distributions development EVRP (Electric Vehicle Routing Problem) research. However, most researches focused on static few dynamic EVRP. Therefore, considering time-dependent properties network characteristics vehicle, model TDEVRP with minimize costs vehicles delivery time was built. Algorithm TDEVRP, which based traditional grouping genetic algorithm, designed it analysed verified utilization instances.
In this article, some common defects, which are caused by material properties, and the mechanism of defects occur introduced. Author introduces how these treated in conventional process, meanwhile, points out disadvantages process. For disadvantages, several special processes introduced, including gas-assisted injection molding, rapid variotherm molding hot runner technology, their advantages.
When solving bridge reliability problems, the traditional response surface method has a highly nonlinear implicit function, which results in low fitting accuracy and difficulty meeting requirements. Therefore, dynamic Bayesian network (DBN), is suitable for multi-state unit or system uncertainty selected to construct of function. In this study, DBN model combined with particle swarm optimisation based on simulated annealing (PSOSA) algorithm improve efficiency parameters allow constructed...