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Introduction
Current institution
Publications
Publications (266)
This paper proposes a novel algorithm, the symplectic time-domain finite element method (ST-FEM), for solving the equation of motion within the peridynamics (PD) framework, with a focus on dynamic impact problems and crack propagation prediction. An iterative scheme for the PD equation of motion is established using the time-domain finite element m...
Electroencephalography (EEG) is widely utilized for train driver state detection due to its high accuracy and low latency. However, existing methods for driver status detection rarely use the rich physiological information in EEG to improve detection performance. Moreover, there is currently a lack of EEG datasets for abnormal states of train drive...
There is emerging evidence that negative emotions can be leveraged to help construction workers recognize hazards, with fear being closely associated with avoidance behavior among negative emotions. Previous research has indicated that decision-making during a simulated crisis differs significantly from real crisis scenarios. In order to induce fea...
The recycling of resources is an important measure to achieve circular economy and sustainable development. In this paper, a sustainable filled structure was proposed and realized by combining recycled empty beverage cans with eco-friendly multi-cell fillers. Quasi-static axial compressions were carried out to characterize the energy absorption per...
3D occupancy perception holds a pivotal role in recent vision-centric autonomous driving systems by converting surround-view images into integrated geometric and semantic representations within dense 3D grids. Nevertheless, current models still encounter two main challenges: modeling depth accurately in the 2D-3D view transformation stage, and over...
A novel slit-resonator acoustic metastructure (SRAM) composed of Helmholtz resonators and porous materials is proposed to achieve a continuous perfect sound absorption at 200–3000 Hz. The Helmholtz resonator utilizes the resonance effect for low-frequency acoustic energy attenuation, and when its neck is small enough, it can be considered as an air...
Security inspection plays a crucial role in maintaining public safety, showcasing significant prospects in the automated and accurate identification of prohibited items in X-ray images. However, detection methods based on deep learning models rely on large-labeled datasets and can only achieve closed-set detection with a limited number of categorie...
Detecting driver fatigue is critical to ensuring road safety. Existing fatigue detection methods typically rely on traditional hand-picked features as inputs. However, these hand-picked features can hardly respond accurately to the driver’s fatigue state due to a certain degree of subjectivity and the extraction of these features requires a long ti...
The present work aimed to study the printability and tensile behaviors of ramie yarn-reinforced PLA-based composites fabricated by an in situ impregnated fused filament fabrication (FFF) process. The dimensional error analysis was conducted to evaluate the printability of biocomposites with different processing variations and continuous ramie yarns...
Water scarcity is driving the global adoption of recycled water as an eco-friendly and sustainable solution. Understanding the public’s implicit attitudes, which often diverge from explicit attitudes, is crucial before initiating recycled water programs. In this paper, we proposed a deep learning-based framework to assess the discrepancies between...
Combining LiDAR points and images for robust semantic segmentation has shown great potential. However, the heterogeneity between the two modalities (
e.g.
the density, the field of view) poses challenges in establishing a bijective mapping between each point and pixel. This modality alignment problem introduces new challenges in network design and...
Digital light processing (DLP) 3D printing technology has shown promising applications due to its capability of rapidly fabricating intricate structures with high resolution. However, achieving DLP printed parts with high print quality and robust mechanical properties remains a challenge. This study investigated the effects of crucial printing para...
Material anisotropy caused by crystal orientation is an essential factor affecting the mechanical and fracture properties of crystal materials. This paper proposes an improved ordinary state-based peridynamic (OSB-PD) model to study the effect of arbitrary crystal orientation on the granular fracture in cubic crystals. Based on the periodicity of t...
3D occupancy perception holds a pivotal role in recent vision-centric autonomous driving systems by converting surround-view images into integrated geometric and semantic representations within dense 3D grids. Nevertheless, current models still encounter two main challenges: modeling depth accurately in the 2D-3D view transformation stage, and over...
The increasing number of train–moose collision accidents threatens train running safety. This study investigated the bullet train–moose collision process and explored the effect of parameters on the dynamic responses. The multibody (MB) model was developed and validated against real–world collisions and the validated finite element model. A paramet...
Continuous fiber reinforced composites are widely used in thin‐walled structures due to their high specific strength and stiffness. In this work, continuous natural fiber was introduced into thin‐walled biocomposite structures via 3D printing technique to enhance energy absorbing properties and promote ecological compatibility. The effects of varyi...
This work reported a novel two-stage in-situ impregnation method for additively manufacturing dry fiber bundles reinforced polymer composites using a commercial dual-nozzle 3D printer. This process allowed simultaneous manufacturing of both continuous fiber prepreg filaments and continuous fiber reinforced polymer composites (CFRPCs). Initially, it...
The widespread adoption of aluminum alloy electric buses, known for their energy efficiency and eco-friendliness, faces a challenge due to the aluminum frame’s susceptibility to deformation compared to steel. This issue is further exacerbated by the stringent requirements imposed by the flammability and explosiveness of batteries, necessitating rob...
Background
The COVID-19 pandemic has significantly impacted the mental health of college students, prompting the need for universities to implement measures to mitigate these adverse effects. This study aims to assess the mental health status and mitigation measures of college students, identify the primary factors contributing to their mental heal...
Objective
Occupant impact safety is critical for train development. This paper proposes a systematic procedure for developing validated numerical occupant crash scenarios for high-speed trains by integrating experimental, computational, and inverse methods.
Methods
As the train interior is the most potentially injury-causing factor, the material p...
Bio-inspired thin-wall structures with excellent mechanical properties, high-energy absorption capabilities, and a desirable lightweight level have been extensively applied to the passive safety protection of transportation and aerospace. Collaboration matching and the selection of optional structures with different bionic principles considering th...
The present work aimed to examine the tensile and flexural behaviors of biocomposites reinforced with continuous plant fibers, utilizing a range of polylactic acid (PLA) matrix materials and varying fiber content. These biocomposites were fabricated using an in situ-impregnated fused filament fabrication (FFF) technique. The study incorporated thre...
Remote photoplethysmography (rPPG) technology is a non-contact physiological signal measurement method, characterized by non-invasiveness and ease of use. It has broad application potential in medical health, human factors engineering, and other fields. However, current rPPG technology is highly susceptible to variations in lighting conditions, hea...
3D printing continuous fiber reinforced composite (CFRC) has the advantages of manufacturing complex shapes and short production cycles. Due to the anisotropic mechanical properties of continuous fibers, the printing path of the fibers determines the properties of the printed CFRCs. In this paper, a series of novel cellular crossing paths were prop...
To protect high-speed trains in derailments, reinforced concrete (RC) derailment containment walls are often built beside the track. The resulting problem is that derailed trains hit the surrounding RC derailment containment wall. This paper aims to investigate high-speed train post-derailment impact responses and evaluate the crashworthiness and c...
Moose-vehicle collisions often cause broken glass, deformed roofs, and dented hoods, which makes the driving space invaded to a large extent and seriously threatens the life safety of occupants, and is an essential factor threatening traffic safety. However, there is currently a lack of moose numerical models that can be used to study moose-vehicle...
Experimental and simulation studies of the response of bonded‐repaired and scarf‐repaired carbon fiber‐reinforced polymer laminates under the low‐velocity impact (LVI) were carried out. The center‐ and eccentric‐repaired laminates were prepared for experiments. The experimental results verify the validity of the finite element model in terms of the...
In this study, a novel modular multicell structure was proposed to achieve tunable energy absorption characteristics. Dovetail grooves and protrusions were designed on square thin-walled tubes as interfaces to realize the modular assembly. The quasi-static compression experimental results showed that single thin-walled tubes made of thermoplastic p...
The fiber-filled polymer composite is one of the best materials which provides a symmetrical superior strength and stiffness to structures. With the strengthening of people’s environmental protection and resource reuse consciousness, the development of renewable materials, especially natural fiber-filled polymer composites, is receiving great atten...
Analysis of pedestrians’ head and lower limb injuries at the tissue level is lacking in studies of tram–pedestrian collisions. The purpose of this paper therefore to investigate the impact response process and severity of pedestrians’ injuries in tram–pedestrian collisions, using the Total Human Model for Safety (THUMS) pedestrian human body model...
In recent years, non-contact physiological signal monitoring based on facial video has garnered significant attention due to its convenience and low cost. Unlike traditional methods for physiological signal monitoring, which necessitate complex equipment and stringent monitoring conditions, remote photoplethysmography (rPPG) technology relies solel...
Fracture toughness is a critical parameter in the evaluation of a component's structural integrity and damage tolerance. For 3D‐printed continuous fiber reinforced composites (CFRCs) based on the fused deposition modeling (FDM) technique, the fracture behavior differed from that of composites manufactured by traditional processes due to the presenc...
The main goal of this study was to investigate the effect of heat treatment on the microstructural and interlayer mechanical properties of 3D printed continuous carbon fiber‐reinforced composites (CCFRCs). The influence of raster orientations on the interlayer properties of composites was systematically studied by the floating roller peel test. The...
The application of continuous natural fibers as reinforcement in composite thin-walled structures offers a feasible approach to achieve light weight and high strength while remaining environmentally friendly. In addition, additive manufacturing technology provides a favorable process foundation for its realization. In this study, the printability a...
Passenger thermal comfort in high-speed train (HST) carriages presents unique challenges due to factors such as extensive operational areas, longer travel durations, larger spaces, and higher passenger capacities. This study aims to propose a new prediction model to better understand and address thermal comfort in HST carriages. The proposed predic...
With the growing prominence of environmental conservation awareness, there has been a notable surge in the exploration of renewable materials, particularly in the realm of natural fiber reinforced polymer composites. This heightened focus is underscored by the recent advancements in additive manufacturing techniques dedicated to continuous natural...
To study the perforation performance of CFRP laminates for rail vehicles under high-velocity impact from foreign objects, impact tests on CFRP laminates at a velocity of 163 m/s were carried out, and a corresponding finite element model was established using ABAQUS and verified. The user-defined material subroutine combined the material strain rate...
Continuous fiber reinforced polymer composites are widely used in load-bearing components and energy absorbers owing to their high specific strength and high specific modulus. The path planning of continuous fiber is closely related to its structural defects and mechanical properties. In this work, continuous fiber reinforced polymer honeycomb stru...
Green product design, i.e., design that harmonizes with the environment, is a crucial component for addressing environmental considerations in the earliest stages of the product life cycle, e.g., new energy vehicles (NEVs), that minimize negative environmental impacts. The designs can encompass material selection, resource use, production requireme...
This paper offered a novel approach for self-monitoring manufacturing damage in 3D printed continuous carbon fiber reinforced composites (CFRCs). The proposed method utilized the Kelvin Four-terminal sensing technique to measure the electrical resistance of continuous carbon fiber bundles within the composites. By employing this measurement approac...
In recent years, innovations in 3D/4D printing techniques for continuous fiber-reinforced polymer composites (CFRPCs) have opened new perspectives for the integrated design and manufacture of composites with customized functions. This paper reviews the current state of 3D/4D printed functional composites, including the materials, shape memory/chang...
With the development of the economy, urban road transportation has been continuously improved, and the number of motor vehicles has also increased significantly, leading to serious energy consumption issues. As critical nodes in the urban road transportation network, intersections have become a focal point of research on vehicle energy consumption....
Purpose
In order to investigate the vibration reduction properties of a three-dimensional elastic metastructure with spherical cavities at low frequencies.
Design/methodology/approach
The bandgap characteristics of a three-dimensional elastic metastructure with spherical cavities are studied based on analytical and numerical approaches.
Findings...
In this paper, a novel 3D printed continuous ramie fiber reinforced variable stiffness biocomposite honeycomb cellular structure (CF-VSHS) was reported. Based on the printing path planning of CF-VSHSs, variable stiffness (VS) cellular structures filled with cells of various dimensions were prepared by employing a detachable and recyclable support-a...
This work aimed to investigate the compressive and shape recovery performance of the 3D printed shape-memory corrugated tubes (SMCTs). The structures were manufactured by fused deposition modeling technique and made from the shape memory polymer. The effects of corrugation number and amplitude on crushing and shape recovery behaviors were studied b...
Introduction
Prolonged exposure of train drivers to thermal discomfort can lead to occupational safety and health (OSH) risks, causing physical and mental injuries. Traditional method of treating human skin as a wall surface fail to observe accurate skin temperature changes or obtain human thermal comfort that adapts to the thermal environment.
Me...
Inspired by the advantages of the grille structures, an innovative two-dimensional (2D) windmill-like elastic metamaterials (EMs) based on multiple resonators is presented for obtaining ultrawide bandgaps at a relatively low frequency. The dispersion relations and the mechanism of bandgap formation are investigated using an analytical model of wind...
Collisions between trains and moose that cross a track are common occurrences according to rail accident statistics. A moose lying on a track after a crash may increase the risk of train derailment. In addition, a moose thrown into the air during a collision may also hit and damage the pantograph, which prevents a train from running. This paper dev...
The 3D printed composite material selection is of great interest due to its extensive application prospect and can be considered as a challenging multiple-criteria decision making (MCDM) issue. The hesitation and uncertainty of experts are difficult to measure, and the high degree of interaction among criteria is often overlooked in the decision pr...
Bio-inspired cellular structures provide excellent elements and design concepts for designing thin-walled energy-absorbing structures of vehicles, trains and aircrafts, due to their special structural characteristics and excellent mechanical properties. This study conducts a literature review of bio-inspired cellular energy-absorbing structures wit...
Rail vehicles offer the characteristics of large carrying capacity and high running speed. Train accidents usually result in substantial personal casualties and economic losses. Energy-absorbing structures can efficiently and quickly absorb and disperse the energy generated during collisions. In this paper, the performances with different cross-sec...
Vehicle front-end structure has the characteristic of symmetry. The damage of occupants in the crash process is determined by the combined effect of the front-end structure and the restraint system of the vehicle. In this paper, the coupling relationship and an optimized method for the vehicle front-end structure and restraint system are studied ba...
As a core indicator of the railway service industry, the comfort of the railway passengers is an important aspect to measure the advancement of railway technology. The accurate evaluation of railway passenger comfort has received much attention from academia and industry. The EEG-based comfort evaluation method has been hailed as the gold standard...
Vibration contributes large increases in railway passenger discomfort during long-term sitting. Discomfort caused by vibration may differ in different operation conditions. This paper conducted field measurements to investigate the interrelationships between the three. Participants completed a 240-min train journey with their whole-body vibration,...
The mechanical properties of hybrid continuous carbon and Kevlar fibers reinforced polyamide (PA)‐based composites manufactured by the fused deposition modeling (FDM) technique were investigated in this paper. The effects of fiber raster orientations, fiber layer locations, and stacking sequences were studied by the quasi‐static indentation (QSI) t...