彭程
教授
所属院部: 机械工程学院
访问次数:
基本信息
  • 教师拼音名称:
    Peng Cheng
  • 入职时间:
    2020-12-14
  • 所在单位:
    机械工程学院
  • 职务:
    教工
  • 学历:
    博士研究生毕业
  • 办公地点:
    山东大学千佛山校区8号楼416-2
  • 性别:
  • 联系方式:
    pengcheng@sdu.edu.cn
  • 学位:
    哲学博士学位
  • 在职信息:
    在职
  • 毕业院校:
    University of Delaware
  • 博士生导师
  • 硕士生导师
学科:
工程力学;
曾获荣誉:

2019-07-24    ICMMES CSRC Award, 16th ICMMES;
教育经历
  • 2006-9 — 2010-7
    西安交通大学
    能源动力系统及自动化
    工学学士
  • 2010-9 — 2013-7
    中国科学院大学
    工程热物理
    工学硕士学位
  • 2013-7 — 2018-5
    University of Delaware
    Mechanical Engineering
    哲学博士学位
工作经历
  • 2018-8 — 2020-11
    Penn State University
研究领域

流体物理:湍流,多相渗流,流固耦合,湍流和颗粒的相互作用等

计算流体力学:直接数值模拟,格子玻尔兹曼方法,浸入边界法等

科研成果
研究方向
论文

1.  彭程. Mechanisms and models of particle drag enhancements in turbulent environments.  JOURNAL OF FLUID MECHANICS,  2023. 

2.  Yang, Bo. A direct numerical simulation study of flow modulation and turbulent sedimentation in particle-laden downward channel flows.  PHYSICS OF FLUIDS,  2021. 

3.  Shen, Jie. Influence of particle-fluid density ratio on the dynamics of finite-size particles in homogeneous isotropic turbulent flows.  PHYSICAL REVIEW E,  1, 2021. 

4.  彭程. Fluid-wall interactions in pseudopotential lattice Boltzmann models.  PHYSICAL REVIEW E,  1, 2021. 

5.  彭程. Preferential accumulation of finite-size particles in near-wall streaks.  JOURNAL OF FLUID MECHANICS,  980,  2024. 

6.  Zhang, Zehua. A highly-efficient locally encoded boundary scheme for lattice Boltzmann method on GPU.  COMPUTER PHYSICS COMMUNICATIONS Journal,  298,  2024. 

7.  Dong, Zhi-Qiang. A systematic study of hidden errors in the bounce-back scheme and their various effects in the lattice Boltzmann simulation of viscous flows.  PHYSICS OF FLUIDS,  34,  2022. 

8.  彭程. Lattice Boltzmann simulations of homogeneous shear turbulence laden with finite-size particles.  Computers & Mathematics with Applications,  154,  65-77, 2024. 

9.  Shen, Jie. The influence of particle density and diameter on the interactions between the finite-size particles and the turbulent channel flow.  《INTERNATIONAL JOURNAL OF MULTIPHASE FLOW》,  170,  2024. 

10.  Karzhaubayev, Kairzhan. An immersed boundary method-discrete unified gas kinetic scheme simulation of particle-laden turbulent channel flow on a nonuniform orthogonal mesh.  INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS,  2023. 

11.  Wang, Zhicheng. Two pressure boundary conditions for multi-component multiphase flow simulations using the pseudo-potential lattice Boltzmann model.  Computers and Fluids,  248,  2022. 

12.  Soomro, Muzammil. Fugacity-based lattice Boltzmann method for multicomponent multiphase systems.  Physical Review E,  107,  2023. 

13.  彭程. Direct numerical simulation of homogeneous shear turbulence subject to a shear periodic boundary with the lattice Boltzmann method.  Computers & Mathematics with Applications,  146,  192-199, 2023. 

14.  彭程. Parameterization of turbulence modulation by finite-size solid particles in forced homogeneous isotropic turbulence.  JOURNAL OF FLUID MECHANICS,  963,  2023. 

15.  彭程. Mechanisms and models of particle drag enhancements in turbulent environments.  JOURNAL OF FLUID MECHANICS,  959,  2023. 

16.  Yang, Bo. A direct numerical simulation study of flow modulation and turbulent sedimentation in particle-laden downward channel flows.  PHYSICS OF FLUIDS,  33,  2021. 

17.  Shen, Jie. Influence of particle-fluid density ratio on the dynamics of finite-size particles in homogeneous isotropic turbulent flows.  Physical Review E,  104,  025109, 2021. 

18.  彭程. Fluid-wall interactions in pseudopotential lattice Boltzmann models.  Physical Review E,  104,  035301, 2021. 

19.  Shen, Jie. Turbulence modulation by finite-size particles of different diameters and particle-fluid density ratios in homogeneous isotropic turbulence.  JOURNAL OF TURBULENCE,  23,  433-453, 2022. 

20.  Hu, Liangquan. Direct Numerical Simulation of Sediment Transport in Turbulent Open Channel Flow Using the Lattice Boltzmann Method.  6,  2020. 

21.  Estimation of the dissipation rate of turbulent kinetic energy: a review.  Chemical Engineering Science,  229,  116133, 2020. 

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