Haitao Wang

ORCID: 0000-0002-0983-1471
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About
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Research Areas
  • Structural Behavior of Reinforced Concrete
  • Structural Load-Bearing Analysis
  • Concrete Corrosion and Durability
  • Innovative concrete reinforcement materials
  • Building Energy and Comfort Optimization
  • Structural Response to Dynamic Loads
  • Fault Detection and Control Systems
  • Fire effects on concrete materials
  • Urban Heat Island Mitigation
  • Solar Energy Systems and Technologies
  • Advanced Algorithms and Applications
  • Advanced Sensor and Control Systems
  • High-Velocity Impact and Material Behavior
  • Advanced Statistical Process Monitoring
  • Risk and Safety Analysis
  • Probabilistic and Robust Engineering Design
  • Refrigeration and Air Conditioning Technologies
  • Wind and Air Flow Studies
  • Toxoplasma gondii Research Studies
  • Advanced Decision-Making Techniques
  • Mechanical Behavior of Composites
  • Environmental Impact and Sustainability
  • Parasitic Infections and Diagnostics
  • Industrial Technology and Control Systems
  • Simulation and Modeling Applications

Henan University of Technology
2012-2025

Qingdao Agricultural University
2024-2025

Nanjing Audit University
2021-2025

Chuzhou University
2024

Hohai University
2017-2024

Academy of State Administration of Grain
2023-2024

Guilin University of Electronic Technology
2021-2024

Hunan University
2011-2022

Dalian Maritime University
2022

Zhejiang Lab
2021

10.1016/j.compstruct.2017.10.033 article EN Composite Structures 2017-10-14

The bond between carbon-fiber-reinforced polymer (CFRP) and steel is crucial for strengthening of structures using CFRP materials. However, existing studies on this issue are still limited. To better understand the behavior CFRP-to-steel bonded interfaces, paper reports an experimental study plate-to-steel joints with a nonlinear adhesive by single-shear testing method. three-dimensional digital image correlation (3D-DIC) technique was used to measure displacements strains specimens. effects...

10.1061/(asce)cc.1943-5614.0000701 article EN Journal of Composites for Construction 2016-05-10

Using carbon-fiber-reinforced polymer (CFRP) materials can extend the fatigue life of damaged steel structures. However, several issues still need to be studied. In this paper, experimental and numerical studies were conducted on behavior cracked plates strengthened with CFRP materials. A total 10 specimens designed, including six central-cracked four edge-cracked specimens. The repair effectiveness different systems configurations compared under equivalent tensile stiffness. test results...

10.1061/(asce)cc.1943-5614.0000647 article EN Journal of Composites for Construction 2015-11-30

Carbon fiber–reinforced polymer (CFRP) systems have been widely used to strengthen concrete structures. To further study the flexural strengthening of beams with prestressed CFRP plates, tests large-scale reinforced were performed, and a tensioning anchorage system suitable for engineering applications was in this study. The effects prestressing level, amount, type, bonding position plate on behavior investigated. test results showed that cracking load, yielding ultimate load all...

10.1061/(asce)cc.1943-5614.0001267 article EN Journal of Composites for Construction 2022-10-05

This paper presents a theoretical and numerical study on the stress intensity factors for double-edged cracked steel plates strengthened with fiber reinforced polymer (FRP) plates. Based factor solution infinite center-cracked FRP plates, expressions of were proposed by introducing two correction factors: β f. A finite element (FE) simulation was carried out to calculate plate specimens. Numerous combinations specimen width, crack length, thickness Young's modulus, adhesive thickness, shear...

10.3390/s18072356 article EN cc-by Sensors 2018-07-20

Wireless sensor network (WSN) are usually restricted by assembled batteries which difficult to recharge, therefore saving energy is crucial for WSN. For increasing the survival time of network, an efficient intelligent data fusion algorithm named GAPSOBP put forward integrating BP neural genetic and particle swarm optimization reasonably. In GAPSOBP, wireless sensors analogy neurons in network. Data collected extracted then combined with clustering routing fuse extra data, thus reducing...

10.1016/j.procs.2021.02.079 article EN Procedia Computer Science 2021-01-01
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