dr. H. Cheng (Hongyang)

Assistant Professor

About Me

Dr. Hongyang Cheng is Assistant Professor of Geomechanics at the University of Twente. He obtained his PhD on "multi-scale characterization of geosynthetic-reinforced soils" at Hiroshima University in 2016. He subsequently joined the Multi-Scale Mechanics group of the University of Twente and worked on "wave propagation in granular media" and "concurrent multi-scale modeling" until 2020. For his PhD work, he received the best student paper award at the DEM7 conference and a top downloaded paper award from Granular Matter. Dr. Cheng has been giving invited lectures at the University of Pisa, Okayama University and the Japanese Geotechnical Society, and was the organizer and chair of the symposium “Open-Source Development” of the DEM8 conference in 2019.  Dr. Cheng is currently guest-editing a special issue of Computers and Geotechnics "DEM for Geotechnics".


Engineering & Materials Science
Finite Difference Method
Granular Materials
Wave Propagation
Earth & Environmental Sciences
Discrete Element Method


Dr. Cheng has worked extensively on the multi-scale and constitutive modeling of heterogeneous soils (e.g., GRS), Bayesian parameter estimation, and 3D micro-CT image analysis. His research aims to understand the physical processes where the micro-mechanics is important and relevant length/time scales are not well defined. To this end, he develops multi-scale modeling and Bayesian inference tools to bridge geomechanical models at micro and macro scales. His most recent work involves developing a computational framework for concurrent multi-model simulations of granular matter, in all physical states. 

Dr. Cheng has developed and coupled several open-source software packages, including YADEMercuryDPMOomphLib, and LB3D, for solving geotechnics and geophysics problems, such as soil-geosynthetics interaction (FEM-DEM) and wave propagation in granular media (LBM-DEM). He has developed a Bayesian calibration software "GrainLearning" which has many users in the industry and academia. Dr. Cheng is the main developer of the coupled MercuryDPM-OomphLib code, with a vision to implement a unified multi-scale framework for modeling solid/fluid-like behavior of granular materials, incorporating state-of-the-art​ open-source codes from soil mechanics, fluid mechanics, and beyond.


Cheng, H. , Magnanimo, V., Shuku, T. , Luding, S. , & Weinhart, T. (2021). Bayesian Uncertainty Quantification for Geomechanical Models at Micro and Macro Scales. In M. Barla, A. Di Donna, & D. Sterpi (Eds.), Challenges and Innovations in Geomechanics: Proceedings of the 16th International Conference of IACMAG - Volume 1 (pp. 837-845). (Lecture Notes in Civil Engineering; Vol. 125). Springer. https://doi.org/10.1007/978-3-030-64514-4_90
Weinhart, T., Orefice, L. , Post, M. , van Schrojenstein Lantman, M. P. , Denissen, I. F. C. , Tunuguntla, D. R., Tsang, J. M. F. , Cheng, H. , Shaheen, M. Y. , Shi, H., Rapino, P., Grannonio, E., Losacco, N., Barbosa, J., Jing, L. , Alvarez Naranjo, J. E. , Roy, S. , den Otter, W. K. , & Thornton, A. R. (2020). Fast, flexible particle simulations — An introduction to MercuryDPM. Computer physics communications, 249, [107129]. https://doi.org/10.1016/j.cpc.2019.107129

UT Research Information System

Google Scholar Link


In the Thermal and Fluid Engineering Department, Dr. Cheng coordinated and gave lectures in three 5EC MSc courses, in which he taught the dynamics of particle-fluid systems in Multiphase Flows, soil elastoplasticity in Granular Matter, and image analysis in Advanced Programming in Engineering.

191158500 - APiE

201400194 - Granular Matter

201400300 - Multiphase Flows

In the Civil Engineering Department, he teaches an MSc course GeoRisk Management (5EC). Students learn how to use probability theory and stochastic modeling to integrate numerical models (e.g., FEM) and observation data within a probabilistic framework for risk assessment. This multidisciplinary course covers several topics, including geomechanics, flow in porous media, finite element method, and stochastic modeling. Students practice the knowledge learned in the lectures via the final project "Dyke Risk'', by implementing a small Matlab soler for probability-based dike stability assessment.

Affiliated Study Programmes



Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20)
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst Complex
P.O. Box 217
7500 AE Enschede
The Netherlands