Peijun Zhang

ORCID: 0000-0003-4524-874X
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About
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Research Areas
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Numerical methods in engineering
  • Hydraulic Fracturing and Reservoir Analysis
  • Nonlinear Dynamics and Pattern Formation
  • Model Reduction and Neural Networks
  • Reservoir Engineering and Simulation Methods
  • Oil and Gas Production Techniques
  • Differential Equations and Numerical Methods
  • Vibration and Dynamic Analysis
  • Optimization and Variational Analysis
  • Chaos control and synchronization
  • Evolution and Genetic Dynamics
  • Mathematical Biology Tumor Growth
  • Railway Engineering and Dynamics
  • Numerical methods for differential equations
  • stochastic dynamics and bifurcation
  • COVID-19 epidemiological studies
  • Recycling and utilization of industrial and municipal waste in materials production
  • Fluid Dynamics and Vibration Analysis
  • Nonlinear Differential Equations Analysis
  • Metal Alloys Wear and Properties
  • Hydrocarbon exploration and reservoir analysis
  • Structural Engineering and Vibration Analysis
  • Quantum chaos and dynamical systems
  • Fractional Differential Equations Solutions

Xijing University
2020-2024

Xi'an University of Architecture and Technology
2022-2024

Xi'an University of Technology
2022-2024

Xian Center for Disease Control and Prevention
2024

International Turkmen-Turkish University
2017-2024

Yanshan University
2022-2023

University of Siegen
2023

Wuhan Center for Disease Control and Prevention
2022

Beijing Urban Systems Engineering Research Center
2021

China National Petroleum Corporation (China)
2015-2017

In this paper, we make the first attempt to adopt boundary integrated neural networks (BINNs) for numerical solution of two-dimensional (2D) elastostatic and piezoelectric problems. The proposed BINNs combine artificial with exact integral equations (BIEs) effectively solve value problems based on corresponding partial differential (PDEs). BIEs are utilized localize all unknown physical quantities boundary, which approximated by using resolved via a training process. contrast many...

10.1016/j.ijmecsci.2024.109525 article EN cc-by International Journal of Mechanical Sciences 2024-07-06

In this paper, a 3D jerk chaotic system with hidden attractor was explored, and the dissipativity, equilibrium, stability of were investigated. The types, Lyapunov exponents, Poincare section under different parameters analyzed. Additionally, circuit carried out, good similarity between experimental results theoretical analysis testifies feasibility practicality original system. Furthermore, robust feedback controller designed based on finite‐time theory, which guarantees synchronization...

10.1155/2021/8865522 article EN cc-by Complexity 2021-01-01

10.1007/s00405-015-3572-2 article EN European Archives of Oto-Rhino-Laryngology 2015-02-23

The mechanisms of carbonate gas reservoirs were systematically studied with the Right Bank Field Amu Darya Gas Field, Turkmenistan, as an example. Water produced from has three sources, condensate water, engineering fluids and formation water. fluid physical property water-gas ratio (WGR) method for single component conditions chloridion conservation multi-components established to identify components contained in production fluids. A water diagnosing curve, which refers degree reserve...

10.1016/s1876-3804(17)30011-3 article EN cc-by-nc-nd Petroleum Exploration and Development 2017-02-01

10.1142/s0219455426500343 article EN International Journal of Structural Stability and Dynamics 2024-10-04

In several industries, the handling of fluid-filled micropipes is common. New-brand structures are increasingly being manufactured using advanced materials. This article tackles one crucial dynamic analyses that an micropipe encounters. The dynamics a graphene nanoplatelets-reinforced (GPL micropipe) under pulsating laminar flow for first time examined. Euler-Bernoulli beam model follows modified couple stress theory (MCST) and von-Karman's nonlinear strain to formulate problem. impression...

10.1080/15397734.2024.2414771 article EN Mechanics Based Design of Structures and Machines 2024-10-22

A new machine learning method-wavelet neutral network was introduced and some of its characteristics were discussed. Rough set WNN are combined to establish a rough set-based data pre-processing wavelet model. It effectively overcome the does not distinguish importance property samples slow defect in large number processing operations. After linearly scaling sets theory, that affect mid-long-term electric power load trained by tools WNN.

10.1109/etcs.2009.252 article EN 2009-01-01

10.1016/0022-247x(89)90177-7 article EN publisher-specific-oa Journal of Mathematical Analysis and Applications 1989-08-01

The Ojarly gas field, the major supplier of Project Phase Ⅱ Right Bank Amu Darya River, is just small but valuable like a golden bean, although it has good reservoir properties and high production capacity, occurrence continuous sharp decline pressure in well shows great difference from previous test program. In view this, an integrated analysis method was established for whole process to discover three main reasons causing abnormal pressure. First, formation energy dropped so fast that...

10.1016/j.ngib.2017.07.007 article EN cc-by-nc-nd Natural Gas Industry B 2017-01-01
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