Xiaotong Sun

ORCID: 0000-0002-8394-3535
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About
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Research Areas
  • Infrastructure Maintenance and Monitoring
  • Structural Health Monitoring Techniques
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Corrosion Behavior and Inhibition
  • Laser Material Processing Techniques
  • Conducting polymers and applications
  • Advanced Sensor and Energy Harvesting Materials
  • Concrete Corrosion and Durability
  • Innovative concrete reinforcement materials
  • Electrochemical sensors and biosensors
  • Calcium Carbonate Crystallization and Inhibition
  • Wave and Wind Energy Systems
  • Gas Sensing Nanomaterials and Sensors
  • Advanced Aircraft Design and Technologies
  • Structural Behavior of Reinforced Concrete
  • Advanced machining processes and optimization
  • Reliability and Maintenance Optimization
  • Non-Destructive Testing Techniques
  • Computational Fluid Dynamics and Aerodynamics
  • Analytical Chemistry and Sensors
  • Bacterial biofilms and quorum sensing
  • Chromium effects and bioremediation
  • Graphene and Nanomaterials Applications
  • Planarian Biology and Electrostimulation
  • Turbomachinery Performance and Optimization

Hefei University of Technology
2021-2024

Beijing Institute of Technology
2024

Liaoning Normal University
2024

China Three Gorges University
2020-2023

Jilin Agricultural University
2023

Dalian University of Technology
2004-2022

The University of Western Australia
2022

Yantai Institute of Coastal Zone Research
2021

Chinese Academy of Sciences
2021

Yantai University
2021

Physical experiments are carried out in the wave flume to investigate effects of transient fronts acting on multiple floating bodies. Two identical barges considered with one being allowed sway freely and other fixed. A time-frequency analysis method based improved empirical mode decomposition Hilbert–Huang transform is developed help analyze localized characteristics non-stationary corresponding barge responses. series problems particular concern investigated systematically, rich results...

10.1063/5.0061707 article EN Physics of Fluids 2021-10-01

In this study, the results of an experimental investigation on flexural behavior composite specimens are presented, with objective to simulate performance Polyester Polyurethane Concrete (PPUC)-steel bridge deck structures different pavement layer thicknesses. Four groups paving thicknesses 20, 30, 40, and 50 mm prepared, which subjected four-point bending tests positive negative moment loading, obtain failure mode, crack distribution, load-deflection relationship, load-strain relationship....

10.1016/j.cscm.2023.e01915 article EN cc-by-nc-nd Case Studies in Construction Materials 2023-02-03

Physical experiments are conducted in a wave flume to investigate the hydrodynamic behavior of liquid-tank barge floating near an identical barge. The two barges arranged side-by-side and subjected action beam waves. is equipped with liquid tanks encounters waves before second Systematic investigations on effects tanks, mooring constraints, arrangement configurations provide rich findings physics fluids. Mathematical solutions also derived interpret underlying mechanism behind experimental...

10.1063/5.0089127 article EN Physics of Fluids 2022-04-01

The focus on the toxicity of nickel (Ni(II)) in animal and human cells has increased recently. Ni(II) contamination hazards to animals humans can be reduced by bioremediation methods. However, one limitation bacteria soil remediation is that they cannot survive moderate heavy Ni(II)-contaminated environments. Therefore, response mechanism Comamonas testosteroni ZG2 which ability high-concentration environment must elucidated. results demonstrated strain at 350 mg/L concentration Ni(II), but...

10.1016/j.ecoenv.2023.115244 article EN cc-by-nc-nd Ecotoxicology and Environmental Safety 2023-07-11

Dynamic displacement is an important indicator for bridge safety estimation but difficult to measure due economic or technological limitations. responses of a passing vehicle include the dynamic response information. This study proposes framework utilizing artificial neural networks efficiently and accurately predict displacements from vehicle. The input output are acceleration responses, respectively. implemented consists convolutional network (CNN) gated recurrent units (GRU). CNN adept at...

10.1155/2024/6954442 article EN cc-by Structural Control and Health Monitoring 2024-01-01

As the accuracy in sensors and powerful controller keep improving, there is more room for developing perception of road environment operation complex traffic conditions Connected Automated Vehicles. In this paper, we propose a control strategy with identification to minimize cost but achieve effect expensive Multiline Lidar. We use computer vision deep learning train existing data sets paper. More specifically, efficient neural network trained German Traffic Sign Recognition Benchmark KITTI...

10.1109/icrms.2018.00040 article EN 2018-10-01

Noncontact measurement techniques in structural dynamics field have progressed significantly the past few decades. Vision-based are unique that they ability to achieve full-field and possess typical advantages associated with noncontact techniques. Recently, vision-based also been applied streaming of videos for dynamic displacement measurement. The most recent trends measurements include target tracing, digital image correlation, target-less approaches. There are, however, some shortcomings...

10.1155/2023/7904198 article EN cc-by Structural Control and Health Monitoring 2023-09-08

Traditional pavement materials used in the orthotropic steel bridge deck suffer from various distresses and thus reduce service life of bridge. Therefore, this study proposed a novel engineered material named polyester polyurethane concrete (PPUC) for pavement. Indoor laboratory experiments numerical comparison analysis were conducted to comprehensively assess feasibility PPUC as ordinary Portland cement (OPC), guss asphalt (GAC), mastic (SMAC) epoxy (EAC) references compared with PPUC....

10.3389/fmats.2022.1071316 article EN cc-by Frontiers in Materials 2022-12-09

This paper proposes the use of Gaussian Bayesian networks (GBNs) for damage detection steel truss bridges by using strain monitoring data. Based on proposed procedure, a three-layer GBN model is first constructed based load factors, structural deflections, and stress measurements bridges. More specifically, factors structures are defined as first-layer network nodes, deflections considered second-layer third-layer nodes built data elements. To achieve training model, finite element analysis...

10.3390/buildings12091463 article EN cc-by Buildings 2022-09-15

Vibration-based damage detection methods have inherent uncertainties due to the perturbation of measurement noise, modeling errors, and environmental changes, such as variations in temperature. However, other measured local information, including static strain deflection by structural health monitoring system, not been taken full advantage of. The integration global information has potential lead more accurate detection. This paper proposes a method for integrating based on Bayesian theory....

10.1260/1369-4332.18.4.543 article EN Advances in Structural Engineering 2015-03-12
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