Bin Xu

ORCID: 0000-0003-4100-2697
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About
Contact & Profiles
Research Areas
  • Topology Optimization in Engineering
  • Composite Structure Analysis and Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Aeroelasticity and Vibration Control
  • Structural Analysis and Optimization
  • Structural Engineering and Vibration Analysis
  • Manufacturing Process and Optimization
  • Lightning and Electromagnetic Phenomena
  • Structural Load-Bearing Analysis
  • Composite Material Mechanics
  • Gas Dynamics and Kinetic Theory
  • Structural Health Monitoring Techniques
  • Fire effects on concrete materials
  • Mechanical Behavior of Composites
  • Computational Fluid Dynamics and Aerodynamics
  • High-Velocity Impact and Material Behavior
  • Vacuum and Plasma Arcs
  • Innovations in Concrete and Construction Materials
  • Fire dynamics and safety research
  • Electrical Fault Detection and Protection
  • Structural Response to Dynamic Loads
  • Mechanical Engineering and Vibrations Research
  • Smart Materials for Construction
  • Fluid Dynamics and Turbulent Flows
  • Metallurgy and Material Forming

Northwestern Polytechnical University
2015-2024

China University of Mining and Technology
2024

Microbiology Institute of Shaanxi
2021-2022

Technical University of Darmstadt
2021

Nanchang Institute of Technology
2015-2021

China General Nuclear Power Corporation (China)
2017

Nanjing University of Science and Technology
2016

Baogang Group (China)
2011-2012

University of Science and Technology
2011

Korea University of Science and Technology
2011

In this brief, a novel adaptive-critic-based neural network (NN) controller is investigated for nonlinear pure-feedback systems. The design based on the transformed predictor form, and actor-critic NN control architecture includes two NNs, whereas critic used to approximate strategic utility function, action employed minimize both function tracking error. A deterministic learning technique has been guarantee that partial persistent excitation condition of internal states satisfied during...

10.1109/tnnls.2013.2292704 article EN IEEE Transactions on Neural Networks and Learning Systems 2014-01-31

The beam structure constitutes a vital element in construction and bridge engineering. Static damage detection technology provides method for identifying potential by measuring static displacements, with the advantage of being easy to implement. In this work, two-stage is proposed determine location severity structures. first stage identifies based on displacement difference curves under loading before after occurs. second employs an artificial neural network damage. has been validated both...

10.3390/coatings15030289 article EN Coatings 2025-03-01

A method for the topology optimization on natural frequency of continuum structures with casting constraints is proposed. The objective to maximize vibrating subject constraints. When frequencies considered are maximized using solid isotropic material penalization (SIMP) model, artificial localized modes may occur in areas where elements assigned lower density values. In this article, performed by bi-directional evolutionary structural (BESO) method. effects different locations concentrated...

10.1080/0305215x.2018.1506771 article EN Engineering Optimization 2018-09-25
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