Kai Li

ORCID: 0000-0002-0106-0617
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About
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Research Areas
  • Structural Behavior of Reinforced Concrete
  • Traffic Prediction and Management Techniques
  • Traffic control and management
  • Structural Response to Dynamic Loads
  • Concrete and Cement Materials Research
  • Human Mobility and Location-Based Analysis
  • Building Energy and Comfort Optimization
  • Concrete Corrosion and Durability
  • Urban Heat Island Mitigation
  • Structural Load-Bearing Analysis
  • Innovative concrete reinforcement materials
  • Recycling and utilization of industrial and municipal waste in materials production
  • Geotechnical and construction materials studies
  • Geotechnical Engineering and Soil Stabilization
  • Wind and Air Flow Studies
  • Transportation Planning and Optimization
  • Advanced ceramic materials synthesis
  • Building materials and conservation
  • Agricultural Engineering and Mechanization
  • Membrane Separation Technologies
  • Forest Biomass Utilization and Management
  • Anaerobic Digestion and Biogas Production
  • Hygrothermal properties of building materials
  • Innovations in Concrete and Construction Materials
  • Granular flow and fluidized beds

Shanxi Agricultural University
2024

China Communications Construction Company (China)
2023

Jingdezhen Ceramic Institute
2023

China Light Industry Press (China)
2023

Beijing University of Civil Engineering and Architecture
2022

Xi'an University of Technology
2022

Sichuan Highway Design and Research Institute
2020

Suihua University
2020

Institute of Microbiology
2015

Institute of Mechanics
2015

Forecasting future traffic flows from previous ones is a challenging problem because of their complex and dynamic nature spatio-temporal structures. Most existing graph-based CNNs attempt to capture the static relations while largely neglecting dynamics underlying sequential data. In this article, we present (DST-GCNNs) by learning expressive features represent structures predict surveillance video particular, DST-GCNN two stream network. flow prediction stream, novel convolutional layer...

10.1109/access.2020.3027375 article EN cc-by IEEE Access 2020-01-01

Forecasting future traffic flows from previous ones is a challenging problem because of their complex and dynamic nature spatio-temporal structures. Most existing graph-based CNNs attempt to capture the static relations while largely neglecting dynamics underlying sequential data. In this paper, we present (DST-GCNNs) by learning expressive features represent structures predict surveillance video particular, DST-GCNN two stream network. flow prediction stream, novel convolutional layer...

10.48550/arxiv.1812.02019 preprint EN other-oa arXiv (Cornell University) 2018-01-01

10.1016/j.ijheatmasstransfer.2015.06.029 article EN International Journal of Heat and Mass Transfer 2015-07-04

To address the issue of header loss in millet combine harvesters, a double-chain harvester was designed based on principles contact mechanics and tribology. Key component parameters were determined, with divider length width measuring 0.56 m 0.30 m, respectively. The angle 40°, spiral also 40°. A prototype manufactured, field performance tests conducted. results showed that total rate lower than single-chain under various combinations height harvesting speed. lowest rate, 3.12%, occurred...

10.3390/machines12090636 article EN cc-by Machines 2024-09-11

The objective of this study was to experimentally analyze the effect size on eccentric compression performance damaged square Reinforced concrete (RC) columns reinforced with Carbon Fiber Plastic (CFRP) in a bid improve rationality design CFRP-reinforced large members. In experiment, 18 RC proportional sizes were prepared, and principle changes strictly controlled. effects size, eccentricity, pre-damage, number CFRP layers considered bearing capacity, lateral deflection, rebar strain,...

10.1177/13694332221123661 article EN Advances in Structural Engineering 2022-08-28

To investigate further the bearing capacity of flexural members GFRP(Glass Fiber Reinforced Polymer)SR(steel-reinforced concrete) under symmetric monotonic loading, a full range nonlinear analysis is made. Flexural computing program GFRP-Reinforced structures put out, according to structure reinforcing theory and correlative rules through finite ribbon method based on flat section assumption. The moment-curvature relative curves influence fiber winding angle pipe wall thickness...

10.4028/www.scientific.net/amm.71-78.1053 article EN Applied Mechanics and Materials 2011-07-01

Abstract Mechanical properties of porcelain based on feldspar as a matrix with SiC particles reinforcing phase were studied in terms the effects content, firing temperature, and holding time. A maximum flexural strength 122 ± 4 MPa was achieved for sample 8 wt% content treated at 1260°C 30 min, which is 90.6% high than that unmodified (64 5 MPa). The fracture toughness elastic modulus former 1.71 · m 1/2 89.975 GPa, respectively. Because thermal expansion coefficient (4.40 × 10 −6 /°C)...

10.1111/ijac.14634 article EN International Journal of Applied Ceramic Technology 2023-12-18

In order to facilitate the actual design of project, we study force performance FRP tube steel-reinforced concrete columns under axial load. By five steel reinforced structures compression, explore damage characteristics and combination column, parameters on column such as wall thickness, fiber winding angle loading mode etc. The capacity increases with larger thickness; smaller angle; loaded in different ways lead capacities. Using superposition method Study deduce a more reasonable...

10.4028/www.scientific.net/amr.482-484.1605 article EN Advanced materials research 2012-02-01

In this research, we present an algorithm-optimized car-following model to describe the overall effect on Chengdu ring expressway (National Expressway G4202) in China from May October, 2019, based dynamic data observed our intelligent transportation system. To validate feasibility of model, stability analysis is performed obtain critical condition local traffic system, and numerical simulation also carried out illustrate that uncertainty accelerated velocity individual vehicles can influence...

10.1145/3404687.3404688 article EN 2020-05-28
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