Jun‐Hua Zhu

ORCID: 0009-0002-4571-0498
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About
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Research Areas
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Ultrasonics and Acoustic Wave Propagation
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Infrastructure Maintenance and Monitoring
  • Advanced Sensor and Control Systems
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Algorithms and Applications
  • Power System Reliability and Maintenance
  • Bone Metabolism and Diseases
  • Advanced Computational Techniques and Applications
  • Selenium in Biological Systems
  • Railway Engineering and Dynamics
  • Thallium and Germanium Studies
  • Advanced Measurement and Detection Methods
  • Power System Optimization and Stability

University of Science and Technology Liaoning
2023-2024

Innovation Team (China)
2022

Zhengzhou University
2022

The optimal power flow (OPF) of system is to optimize the objective function such as generation cost by adjusting control variables on premise satisfying operation constraints and supply–demand balance. A mathematical distribution coyote optimization algorithm (MDCOA) proposed. Crossover added initialization process improve randomness diversity offspring. In order its search efficiency balance exploration exploitation, step size generated random numbers with seven distributions, including...

10.1016/j.aej.2023.02.023 article EN cc-by-nc-nd Alexandria Engineering Journal 2023-02-22

The moving vehicle loads on a bridge deck is one of the most important live bridges. They should be understood, monitored and controlled before design as well when open for traffic. A MOM-based algorithm (MOMA) proposed identifying timevarying from responses in this paper. It aims at an acceptable solution to ill-conditioning problem that often exists inverse force identification. are described combination whole basis functions, such orthogonal Legendre polynomials or Fourier series, further...

10.12989/sem.2008.29.2.135 article EN STRUCTURAL ENGINEERING AND MECHANICS 2008-05-30

A MOM-based algorithm (MOMA) has been developed for moving force identification from dynamic responses of bridge in the companion paper. This paper further evaluates and investigates properties MOMA by experiment laboratory. simply supported model a few vehicle models were designed constructed series experiments have then conducted identification. The bending moment acceleration at several measurement stations are simultaneously measured when moves across deck different speeds. In order to...

10.12989/sem.2008.29.2.155 article EN STRUCTURAL ENGINEERING AND MECHANICS 2008-05-30
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