A5000952916- Cellular and Composite Structures
- Advanced Materials and Mechanics
- Automotive and Human Injury Biomechanics
- Structural Health Monitoring Techniques
- Structural Analysis and Optimization
- Transportation Safety and Impact Analysis
- Model Reduction and Neural Networks
- Soil, Finite Element Methods
- Innovations in Concrete and Construction Materials
- Additive Manufacturing and 3D Printing Technologies
- Simulation and Modeling Applications
- Power Systems Fault Detection
- High-Velocity Impact and Material Behavior
- Additive Manufacturing Materials and Processes
- Particle Detector Development and Performance
- Power System Optimization and Stability
- Structural Engineering and Vibration Analysis
- Medical Imaging Techniques and Applications
- Vibration Control and Rheological Fluids
- Industrial Technology and Control Systems
- Probabilistic and Robust Engineering Design
- Advanced Sensor and Control Systems
- Machine Fault Diagnosis Techniques
- Polymer composites and self-healing
- Acoustic Wave Phenomena Research
Weihai Science and Technology Bureau
2025
Xi'an Jiaotong University
2021-2025
Dalian Jiaotong University
2021-2024
Beijing Jiaotong University
2015
Huazhong University of Science and Technology
2008
Traditional materials or advanced artificially engineered metamaterials are incapable of effectively addressing the simultaneous challenges impact energy hazards and low-frequency noise. There is an urgent need for multifunctional that can address this multi-physics field coupling problem. Herein, a hierarchical chiral metamaterial (HMCM) proposed damage-resistance broadband sound-absorption capabilities fabricated by means laser powder bed fusion technology. Cavity resonators with...
Abstract With the rapid advancements in anti‐stealth technology and electronic reliability, radar absorbing structures urgently need to achieve electromagnetic‐mechanical enhancement. However, drawback of current frequency selective surface (FSS) film still affects interfacial strength structures, limiting improvement mechanical performance. This work proposed an ultrathin, broadband, load‐bearing integrated honeycomb structure (RAHS), fabricated via a high‐efficiency multi‐manufacturing...
• A novel lattice structure inspired from the beetle's front wing and arrangement pattern of honeycomb cells is proposed. The deformation mechanisms bio-inspired under static dynamic loading are unveiled. specific energy absorption exhibits certain sensitiveness to strain rate. Numerical simulations using Johnson-Cook constitutive model heat-treated AlSi10Mg material in good agreement with experimental results. progress additive manufacturing (AM) technique broadens conceivement adoption new...
<title>Abstract</title> This paper introduces an interpretable machine learning framework that combines Separable Gaussian Neural Networks (SGNN) and sparse regression to solve stationary solutions of FPK equations. The structure SGNN naturally satisfies the boundary conditions equations at infinity, which MLP-based Physics-informed networks (PINNs) can only approximate. In addition, it enables transformation probability normalization condition into a weight constraint be encoded loss...
Abstract Random vibrations occur in many engineering systems including buildings subject to earthquake excitation, vehicles traveling on a rough road and off-shore platform random waves. Analysis of for linear has been well studied. For nonlinear systems, particularly multi-degree-of-freedom however, there are still challenges analyzing the probability distribution transient responses system. Monte Carlo simulation was considered only viable method this task. In paper, We propose construct...
Thin-walled tubes have been predominantly utilized in passive vehicle safety systems as crash energy absorbers. With the increasing popularity of additive manufacturing technique, it is feasible to fabricate novel internal reinforcement structures further reinforce crashworthy performances thin-walled tubes. In present work, a nonuniform Lattice-reinforced multi-cell tube based on topology optimization was put forward explore under axial loading and lateral bending. Numeric models validated...
This work proposes a self-locked Kagome honeycomb (SLKH) structure to realize better balance between energy absorption and cost efficiency. The uses simple creative bending preparation method form triangle nested self-locking pattern with distinct layers, rich shapes, easy assembly, flexibility quasi-static experiments numerical simulations are employed investigate the behavior dynamic response. Numerical analysis is conducted reveal influence of cell size, angle at connecting plate, number...
Multi-wall profile as one of the most widely approaches can enhance crashworthiness properties in thin-walled tubular structures. In actual application process energy absorbers, there may be a variety circumstances including axial crushing and lateral crushing. However, multi-wall structure considering both has rarely been evaluated existing literature. study, new tailored-property (TMTS) is put forward to increase ultimate strength this material region corner accommodate two conditions...
Secondary impact is a significant contributor to occupant injuries in train crashes. To mitigate collision injuries, workbench with energy-absorbing properties was developed, drawing inspiration from leaf-vein and honeycomb structures. A local model of dummy compartment established evaluate the different sandwich thicknesses on injuries. By optimizing wall thickness sandwich, optimal gradient parameters were determined. The assessment injury workstation table graded conducted using LSTC...
An optimal sensor placement (OSP) method based on structural subsection technique (SST) and model reduction was proposed for modal identification of truss structures, which conducted using genetic algorithm (GA). The constraints GA variables were determined by SST in advance. Subsequently, according to technique, the group master degrees freedom objective function value obtained a case given number sensors. Correspondingly, sensors values cases different applied scaled jacket offshore...
We present our work toward implementing all-digital signal processing for Positron Emission Tomography (PET) event detection. In the conventional PET system, proper calibration and extending are challenging tasks due to huge number of channels multiplexing input signals in mixed-signal front-end. To alleviate such limitations, we have proposed a simple system utilizing digital (DSP) technologies analyzing pulses generated PET. this work, implement Gaussian shaper circuit scintillation...
In the power system, most of faults disconnecting switch are eventually expressed as form heat. Therefore, we can detect by observing its temperature. Most existing models employ conventional machine learning algorithms to learn mapping function between temperature-related features and device These do not make full use history information predict current temperature value. However, in fact, variation is continuous sequential. this paper, propose a model based on Memory Regression Metric...