Publications

FINITE ELEMENT MODELING OF CONCRETE-FILLED STAINLESS-CLAD BIMETALLIC STEEL SQUARE TUBES UNDER AXIAL COMPRESSION

As an advanced high-performance bimetallic steel, metallurgically bonded stainless-clad (SC) bimetallic steel has been increasingly used in engineering structures in recent years. Its combination use with concrete in composite structures is beneficial to not only the corrosion resistance and economy, but also to the loading capacity. However, at present, the numerical analysis model suitable for the SC bimetallic steel is still in the lack stage. In order to study the deformation and mechanical properties of concrete-filled stainless-clad bimetallic steel square tubular (CFBSST) stub columns under axial compression, two finite element (FE) models are established based on the FE software ABAQUS. The simulation results are compared and validated according to the experimental results. Finally, the advantages, disadvantages and application scope of each model are summarized to provide reference for subsequent research.

Modeling and Analyzing of Rolling Contact Behavior Between the Striped Roller and the Tow in Automated Fiber Placement

ABSTRACT The selection of roller types and feeding parameters is critical for the automated fiber placement. However, it has not been extensively explored. In this study, based on contact mechanics and incorporating Fourier series theory, a theoretical model was developed to describe the contact behavior between different striped rollers and the tow in the feeding mechanism. The validity of the model was verified using Laser‐Doppler Anemometry. In addition, a numerical algorithm was proposed to calculate the contact behavior between different striped rollers and the tow. Using this algorithm, the contact behavior under various process parameters was obtained, and the influence of stripe geometric features on the contact behavior was analyzed. The proposed model and algorithm provide theoretical support for the selection of roller types and the optimization of parameters in the feeding mechanism.

Impact of Block Morphology on Urban Thermal Environment with the Consideration of Spatial Heterogeneity

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Topology Optimization Design of a Heavy Truck Frame

Motor unit drive: a neural interface for real-time upper limb prosthetic control

Modern prosthetic limbs have made strident gains in recent years, incorporating terminal electromechanical devices that are capable of mimicking the human hand. However, access to these advanced control capabilities has been prevented by fundamental limitations of amplitude-based myoelectric neural interfaces, which have remained virtually unchanged for over four decades. Consequently, nearly 23% of adults and 32% of children with major traumatic or congenital upper-limb loss abandon regular use of their myoelectric prosthesis. To address this healthcare need, we have developed a noninvasive neural interface technology that maps natural motor unit increments of neural control and force into biomechanically informed signals for improved prosthetic control.Our technology, referred to as motor unit drive (MU Drive), utilizes real-time machine learning algorithms for directly measuring motor unit firings from surface electromyographic signals recorded from residual muscles of an amputated or congenitally missing limb. The extracted firings are transformed into biomechanically informed signals based on the force generating properties of individual motor units to provide a control source that represents the intended movement.We evaluated the characteristics of the MU Drive control signals and compared them to conventional amplitude-based myoelectric signals in healthy subjects as well as subjects with congenital or traumatic trans-radial limb-loss. Our analysis established a vital proof-of-concept: MU Drive provides a more responsive real-time signal with improved smoothness and more faithful replication of intended limb movement that overcomes the trade-off between performance and latency inherent to amplitude-based myoelectric methods.MU Drive is the first neural interface for prosthetic control that provides noninvasive real-time access to the natural motor control mechanisms of the human nervous system. This new neural interface holds promise for improving prosthetic function by achieving advanced control that better reflects the user intent. Beyond the immediate advantages in the field of prosthetics, MU Drive provides an innovative alternative for advancing the control of exoskeletons, assistive devices, and other robotic rehabilitation applications.

ELASTIC BUCKLING OF OUTSTAND STAINLESS-CLAD BIMETALLIC STEEL PLATES SUBJECTED TO UNIAXIAL COMPRESSION

The application of stainless-clad (SC) bimetallic steel in various conditions such as offshore and marine environment requires members designed in different cross-sectional shapes, which consist of both internal and outstand elements. To form a comprehensive understanding of buckling behaviour of the SC bimetallic steel members, the behaviour of outstand compression plates needs to be investigated. In this study, the theoretical elastic buckling stress of outstand SC bimetallic steel plates subjected to uniformly distributed uniaxial compression is derived. Considering the position of neutral surface, the energy method and Ritz formulation are used to solve the buckling stress. Adaptation of the first-order shear deformation plate theory (FSDT) is used to modify the solution, which is further compared with finite element analyses. The influence of different parameters such as cladding configuration, clad ratio, elastic modulus ratio, aspect ratio and width-to-thickness ratio on the elastic buckling behaviour of SC bimetallic plates is analysed. The simplified design formulae and design requirements are summarized to form a comprehensive design method.

Whole-profile-warming drives carbon loss linked to soil carbon stock

Abstract Global warming may significantly reduce soil organic carbon (SOC) storage and stability, particularly in subsoil layers, where carbon loss mechanisms remain poorly understood. By synthesizing data from global whole-profile warming experiments, we demonstrate that CO 2 emissions from the whole-profile are 1.3 times stimulated. The extent of SOC loss is largely determined by standing SOC stocks, highlighting its vulnerability to climate warming. Significant SOC loss (26.4%) occurs in forests, but not in alpine grasslands and wetlands, highlighting ecosystem-dependent responses to warming. The relative losses of subsoil SOC stocks in forests exhibited a significant positive correlation with soil depth (Qm = 4.4, p = 0.0357), and warming leads to a greater proportional loss of SOC in the subsoil (30.6%) compared to the topsoil (14.5%). These depth-dependent responses can be attributed to the combination of biotic factors (e.g., higher microbial biomass but lower C use efficiency) and abiotic factors (e.g., reduced water content). The imbalance between reduced carbon input and increased decomposition rates drives SOC loss from the subsoil, which must be accounted for to make accurate predictions of SOC dynamics in a warming world. Graphical Abstract

Impacts of Trichoderma harzianum LTR-2 on salt-tolerant physiological characteristics of peppermint (Mentha piperita L.)

Trichoderma spp. is a kind of multi-functional probiotics fungus that can stimulate crop growth and increase its capability against abiotic and biotic stresses. However,advanced and systematic global research is very limited in the areas of its plant salt tolerance increase and function mechanism. This paper addresses the impacts of Trichoderma harzianum LTR-2 on NaCl tolerant physiological characteristics of peppermint( Mentha piperita L.). Results show that LTR-2 can effectively alleviate growth inhibition and photosynthetic damage of peppermint under 200 mmol /L NaCl stress.The paper also investigates the physiological and biochemical basis of NaCl stress tolerance of LTR-2 inoculated peppermint. Results indicate that LTR-2 can increase antioxidant activity of peppermint and reduce ROS accumulation. It can also increase the activities of plasma membrane( PM) and tonoplast H+-ATPase and Na+/H+antiporter and then regulate salt absorption and distribution. These results provide experimental basis for the development and application of peppermint and LTR-2 in saline soil.

Research and realization on multi-robot parking mission strategy

Aiming at the complexity and unknown of the modern robot-team parking mission environment, we proposed the maximal obsidional uniform distribution principle, the first nearest parking-point was enclosed by another parking-point according to uniform distribution. Based on it, we used the "Hungary Method" to realize the shortest total path length parking strategy. It was to form a benefit matrix which was composed of each the outside path length of the inclosing circle from robots to parking points, and then the best assignment was obtained by using "Hungary Method". In this paper, it's also considered two parking assignment strategies, which were shortest system executing time strategy and scope of inclosing circle seeable view strategy. The experiment result is shown that the robot-team can complete the reconnaissance parking mission efficiently. Additionally, the real-time performance is also fine.

Four cases report on occupational chronic acrylamide poisoning

Research on Capacity Market Settlement Method Based on VCG Mechanism

An efficient method for simulating uni- and bi- directional spectrum-compatible ground motions using particle swarm optimization

Life cycle assessment of steel-glued laminated bamboo (GluBam) hybrid truss in China

Evaluating the carbon emission reduction effect of distributed energy system in 20 Years: Experience from Kitakyushu Science and Research Park, Japan

Simulation Testing Method for Distribution Network Control Based on Embedded Energy Management System and Matlab

The current distribution network hardware in the loop (HIL) simulation testing relies on specialized hardware, which is costly and requires a large workload of control strategy development. This paper proposes a simulation testing method for distribution network control based on embedded energy management system (EMS) and Matlab. Firstly, an embedded EMS architecture is designed, including communication layer, data layer, background service layer, and display layer. Secondly, control configuration is implemented based on the AOE network and automatic differentiation technology, which supports the simple implementation of distribution network control strategies through "building block". Based on technologies such as the Rust programming language, HTTP container, embedded database, asynchronous non-blocking communication, and WebAssembly, the EMS that can be deployed on embedded devices has been implemented. Thirdly, achieve HIL simulation testing through communication between the embedded EMS and Matlab simulation model. Finally, the effectiveness of the proposed method was verified through the orderly charging control experiment on charging piles in the distribution station area.

A Review on Round Bamboo Structural Applications and Perspectives

Estimating the characteristic strength values of unidirectional engineered bamboo laminates and cross-laminated bamboo panels

Use of Bamboo in Constructions