国内外学习和工作经历

2020/12 — 至今：教授，博士生导师，永利欢乐娱人城，永利欢乐娱人城

2018/08 — 2020/11：博士后，能源与采矿工程系，美国宾州州立大学

2013/07 — 2018/05：哲学博士，机械工程系，美国特拉华大学

2010/09 — 2013/06：工学硕士，工程热物理所，中科院大学

2006/09 — 2010/07：工学学士，能源与动力工程学院，西安交通大学

主讲课程

本科生：数学建模

研究生：高等流体力学、湍动力学、独立专题研究

研究领域

流体力学、计算流体力学方法及应用、气-固、液-固两相湍流数值模拟方法及机理、多孔介质多相渗流、格子Boltzmann方法

欢迎具有流体力学、工程热物理、应用数学等专业背景的同学报考。

承担科研项目情况

科研项目

2022.01-2024.12，国家自然科学基金青年项目 12102232 主持

2022.01-2024.12，山东省自然科学基金青年项目 ZR2021QA010  主持

2022.01-2024.12，山东省优秀青年科学基金 2022HWYQ-023  主持

2023.01-2026.12，国家自然科学基金联合基金重点项目U2241269   课题主持

2020.12-2025.12，永利欢乐娱人城齐鲁青年学者计划     主持

2012.07-2017.08，美国国家科学基金（NSF），CBET-1235974  主研

2012.10-2017.09，美国国家科学基金（NSF），AGS-1139743  主研

2015.06-2018.12，美国国家科学基金（NSF），CNS1513031  主研

期刊论文

2023

[37] C. Peng*, L.-P. Wang, 2023, Mechanisms and models of particle drag enhancements in turbulent environments, Journal of Fluid Mechanics, 959, A30.

[36] M. Soomro*, L.F. Ayala, C. Peng, O.M. Ayala, 2023, Fugacity-based lattice Boltzmann method for multicomponent multiphase systems. Physical Review E, 107, 015304.

2022

[35] J. Shen, C. Peng, J. Wu, K.L. Chong, Z. Lu*, L.-P. Wang, 2022 Turbulence modulation by finite-size particles of different diameters and particle–fluid density ratios in homogeneous isotropic turbulence. Journal of Turbulence 23 (8), 433–453.

[34] Z. Dong, L.-P. Wang*, C. Peng, T. Chen, 2022, 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: 093608.

[33] Z. Wang*, M. Soomro, C. Peng, L.F. Ayala, O.M. Ayala, 2022, Two pressure boundary conditions for multi-component multiphase flow simulations using the pseudo-potential lattice Boltzmann model. Computers & Fluids, 248: 105672.

2021

[32] C. Peng*, L. Ayala, O. Ayala, 2021, Fluid-wall interactions in pseudopotential lattice Boltzmann models, Physical Review E, 104: 035301.

[31] L.Q. Hu, Z.Q. Dong, C. Peng*, L.P. Wang*, 2021, Direct Numerical Simulation of Sediment Transport in Turbulent Open Channel Flow Using the Lattice Boltzmann Method, Fluids, 6: 217. (Editor’s pick)

[30] B. Yang, C Peng*, G.C. Wang, L.P. Wang, 2021, A direct numerical simulation study of flow modulation and turbulent sedimentation in particle-laden downward channel flows. Physics of Fluids, 33, 093306.

[29] J. Shen, Z.M. Lu*, C. Peng, L.P. Wang, 2021, Influence of particle-fluid density ratio on the dynamics of finite size particle in homogeneous isotropic turbulent flows, Physical Review E, 104, 025109.

[28] C. Peng*, L. Ayala, O. Ayala, 2021, A thermodynamically consistent pseudo-potential lattice Boltzmann model for multi-component, multiphase miscible mixtures, Journal of Computational Physics, 429: 110018.

2020

[27] C. Peng*, O. Ayala, L.P. Wang, 2020, Flow modulation by a few fixed spherical particles in a turbulent channel flow, Journal Fluid Mechanics, 884: A15.

[26] C. Peng*, L.P. Wang, 2020, Force-amplified, single-sided diffused-interface immersed boundary kernel for correct local velocity gradient computation and accurate no-slip boundary enforcement, Physical Review E, 101: 053305.

[25] C. Peng*, L. Ayala, Z. Wang, O. Ayala, 2020, Attainment of rigorous thermodynamic consistency in single-component pseudo-potential lattice Boltzmann models via a customized equation of state, Physical Review E, 101: 063309.

[24] G.C. Wang, F. Yang, K. Wu, Y. Ma, C. Peng, T. Liu, L.P. Wang*, 2020, Estimation of the dissipation rate of turbulent kinetic energy: A review, Chemical Engineering Science, 229: 116133.

2019

[23] C. Peng, O.M. Ayala, L.P. Wang*, 2019, A direct numerical investigation of two-way interactions in a particle-laden turbulent channel flow, Journal of Fluid Mechanics, 875: 1096-1144.

[22] C. Peng*, L.P. Wang, 2019, Direct numerical simulations of turbulent pipe flow laden with finite-size neutrally-buoyant particles at low flow Reynolds number, Acta Mechanica, 230: 517-539.

[21] C. Peng, Z. Guo, L.P. Wang*, 2019, A lattice-BGK model for the Navier-Stokes equations based on a rectangular grid, Computers and Mathematics with Applications, 78: 1076-1094.

[20] C. Peng*, O.M. Ayala, L.P. Wang, 2019, A comparative study of immersed boundary method and interpolated bounce-back scheme in no-slip boundary treatment in the lattice Boltzmann method: Part I, laminar flows, Computers and Fluids, 192: 104233。

[19] C. Peng*, O.M. Ayala, L.P. Wang, 2019, A comparative study of immersed boundary method and interpolated bounce-back scheme in no-slip boundary treatment in the lattice Boltzmann method: Part II, turbulent flows, Computers and Fluids, 192: 104251.

[18] C. Peng*, L.F. Ayala, O.M. Ayala, L.P. Wang, 2019, Isotropy and spurious currents in pseudo-potential multiphase lattice Boltzmann models, Computers and Fluids, 191: 104257.

[17] G.C. Wang, D.D. Wan, C. Peng, K. Liu, L.P. Wang*, 2019, LBM study of aggregation of mono-sized spherical particles in homogeneous isotropic turbulence, Chemical Engineering Science, 201: 201-211.

[16] L.P. Wang*, H. Min, C. Peng, N. Geneva, Z. Guo, 2019, A lattice-Boltzmann scheme of the Navier-Stokes equations on a 3D cuboid lattice, Computers and Mathematics with Applications, 78: 1053-1075.

[15] H. Min, C. Peng, Z. Guo, L.P. Wang*, 2019, An inverse design analysis of non-uniform forcing in MRT lattice Boltzmann schemes on square and rectangular lattice grids, Computers and Mathematics with Applications, 78: 1095-1114.

[14] J.C. Brändle de Motta*, P. Costa, J.J. Derksen, C. Peng, L.P. Wang, W.-P. Breugem, J.L. Estivalezes, S. Vincent, E. Climent, P. Fede, P. Barbaresco, N. Renon, 2019, Assessment of numerical methods for fully resolved simulations of particle-laden turbulent flows, Computers and Fluids, 179: 1-14.

2018

[13] C. Peng, N. Geneva, Z. Guo, L.P. Wang*, 2018, Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method, Journal of Computational Physics, 357: 16-42.

2017及之前

[12] C. Peng*, N. Geneva, Z. Guo, L.P. Wang, 2017, Issues associated with Galilean invariance on a moving solid boundary in the lattice Boltzmann method, Physical Review E, 95: 013301.

[11] C. Peng*, Z. Guo, L.P. Wang, 2017, A lattice Boltzmann model capable of mesoscopic vorticity computation, Physical Review E, 96: 053304.

[10] Z. Zhang*, C. Peng, J. Xu, 2017, A molecular collision operator of adjustable direction for the discrete velocity direction model, Physica A, 483: 25-35.

[9] N. Geneva, C. Peng, X. Li, L.P. Wang*, 2017, An efficient scalable implementation of interface-resolved direct numerical simulation of turbulent particle-laden channel flow, Parallel Computing, 67: 20-37.

[8] C. Peng, Y. Teng, B. Hwang, Z. Guo, L.P. Wang*, 2016, Implementation issues and benchmarking of moving rigid particle simulations in a viscous flow, Computers and Mathematics with Applications, 72: 349-374.

[7] C. Peng, H. Min, Z. Guo, L.P. Wang*, 2016, A hydrodynamically-consistent MRT lattice Boltzmann model on a 2D rectangular grid, Journal of Computational Physics, 326: 893-912.

[6] L.P. Wang*, C. Peng, Z. Guo, Z. Yu, 2016, Lattice Boltzmann simulation of particle-laden turbulent channel flow, Computers and Fluids, 124: 226-236.

[5] L.P. Wang*, C. Peng, Z. Guo, Z. Yu, 2016, Flow modulation by finite-size neutrally buoyant particles in a turbulent channel flow, ASME Journal of Fluid Engineering, 128: 041306.

[4] Y. Zong, C. Peng, Z. Guo, L.P. Wang*, 2016, Designing correct fluid hydrodynamics on a rectangular grid using MRT lattice Boltzmann approach, Computers and Mathematics with Applications, 72: 288-310.

[3] S.Y. Chen*, C. Peng, Y. Teng, L.P. Wang, 2016, Improving lattice Boltzmann simulation of moving particles in a viscous flow using local grid refinement, Computers and Fluids, 136: 228-246.

[2] L.P. Wang*, O. Castro, O. Ayala, H. Gao, C. Peng, 2016, Study of local turbulence profiles relative to the particle surface in particle-laden turbulent flows, ASME Journal of Fluid Engineering, 128: 041307.

[1] Z. Zhang, C. Peng, J. Xu, 2013, H theorem and sufficient conditions for the discrete velocity direction model, Modern Physics Letter B, 27(1): 135007.

邀请报告

[1] C. Peng, L.P. Wang, Applications of the lattice Boltzmann method in studying particle-laden turbulent flows, ICMMES-CSRC Award presentation, 16th ICMMES, Edinburgh, Scotland, July 22 - 26, 2019.

[2] 彭程，颗粒槽道湍流的湍动能平衡研究， 第24期流体力学青年学术沙龙，2021年4月24日。

[3] 彭程，基于格子Boltzmann方法的颗粒湍流研究，上海交通大学，机械与动力工程学院，2021年6月1日。

[4] C. Peng, Applications of the lattice Boltzmann method in studying particle-laden turbulent flows, 13^th Engineering Workshop between Shandong University and Kumamoto University, Jinan, Shandong, Dec. 10, 2021.

[5] C. Peng, Applications of the Lattice Boltzmann Method in Studying Turbulent Flows Laden with Finite-size Particles, CFSM Seminar, Clemson University, Dec. 21, 2022.

获得荣誉

2019  ICMMES-CSRC Award, 16th ICMMES （第16届国际介观尺度方法会议）

2016-2017  美国特拉华大学优秀博士奖学金

2015  美国国家科学基金委旅行奖, 12th ICMMES

2014  美国国家科学基金委旅行奖, 11th ICMMES

2009  首届“中国平安杯”全国老员工创业大赛全国总冠军

联系方式

地址：山东省济南市经十路17923号 永利欢乐娱人城

邮编：250061
电子邮箱：pengcheng@sdu.edu.cn （preferred）