Recent Developments in Distinct Element Methods in the Civil Engineering Graduate Education and Research
Zhanping You, P.E., Ph.D.
Abstract
Background
Objective of the Course and Activities
Identification of Concepts in Course Study
Application of DEM in Course Work
Homework and Research Projects
Advanced Topics
Application in Graduate Student Projects: An International Review
Summary
Department of Civil and Environmental Engineering
Michigan Technological University
1400 Townsend Drive, Houghton, Michigan, 49931 - 1295
zyou@mtu.edu
In this paper, the recent developments and experiences of the Distinct (or
Discrete) Element Method (DEM) in Civil Engineering Education are summarized.
The DEM provided an economical approach in many complicated Civil Engineering
problems. The author of this paper was among the researchers who applied DEM in
civil engineering research; therefore a course in the application of DEM was
designed and offered. The course is unique because this is one of the few
courses in the nation and DEM is an emerging technology in numerical methods.
This course is also innovative due to the extensive faculty-students interaction
during the lectures, computer lab work, and student projects. In addition, the
DEM application in student research projects has been very successful in the
past few years. The DEM was applied in soil compaction, aggregate compaction,
and asphalt mixture modeling simulation. The research work at other universities
was reviewed and summarized. In order to introduce the advances of the DEM to
the graduate curriculum, some materials such as soil, sand, and asphalt mixture
materials were introduced to students to better understand the DEM. The DEM
simulation approach saved time in experimental testing and improved graduate
students’ research ability.
The author of this paper applied DEM in research (Buttlar et al. 2004; Buttlar
and You 2001; Dai and You 2006; You and Buttlar 2002; You and Buttlar 2004; You
and Buttlar 2005; You and Buttlar 2006; You and Dai 2006b) in the past and
therefore the author planned a course in graduate student education. The DEM was
introduced to students as a numerical analysis method. In the course work,
students were taught the application of DEM. The course was offered to graduate
students at Texas A&M University – Kingsville (TAMUK) in summers of 2004 and
2005. Due to the increasing demand of the DEM in engineering application and
research, it is very critical to have a course on this area. In many
universities, it is impossible to find a faculty member in the teaching of this
advanced method. There are not many other universities offered the similar
course. At University of Pittsburgh, the application of the DEM as a computer
aid in a geotechnical program was attempted (Lobo-Guerrrero and Vallejo 2006),
where the simulation of a standard laboratory test and different cavities inside
a rock mass were introduced to students.
The objective was to teach students numerical analysis methods-focusing on DEM.
In order to introduce the advances of the DEM to the graduate curriculum, some
materials such as soil, sand, and asphalt mixture materials were introduced to
students. Students would also be able to use the image processing software in
the advanced material study. In order to help students learn more effectively, a
number of research projects have been reviewed including the work by Kolb (Kolb
1984), Magin and Reizes (Magin and Reizes 1990), Mosterman et al. (Mosterman et
al. 1994), Penumadu et al.(Penumadu et al. 2000), among others. The class topics
include:
Topic 1: introduction
Topic 2: numerical methods in civil/geotechnical engineering
Topic 3: introduction to DEM
Topic 4: geotechnical engineering image processing technique in civil
infrastructure (image processing technique for particulate materials)
Topic 5: DEM analysis/simulation and application, including general
formulation of DEM, average stress tensor force displacement law, law of motion,
boundary and initial conditions, time step, differential density scaling,
damping, etc.(Itasca Consulting Group 2004)
Topic 6: contact constitutive models (a stiffness model, a slip model, and
a bonding model; and simple viscoelastic model, simple ductile model,
displacement-softening model, user-defined contact constitutive models)
Topic 7: advanced implementation issues: cohesive strength adhesive
strength, micro-properties
Topic 8: DEM analysis: biaxial and Brazilian test as well as other
simulations
Topic 9: particulate materials modeling application
Topic 10: asphalt mixture examples
Topic 11: geotechnical engineering application
Topic 12: students’ presentation of numerical methods in civil/geotechnical
engineering application (research projects) and final exam
In this class, the numerical methods such as calculus and fundamentals,
solution of nonlinear equations, interpolation and polynomial approximation,
curve fitting, numerical differentiation, numerical integration, solution of
differential equations, solution of partial differential equations, eigenvalues
and eigenvectors, and numerical optimization were not introduced to students
since graduate students should already have the background. In order to provide
background information of different numerical methods, finite difference methods
(FDM), finite element methods (FEM), boundary element methods (BEM), and DEM
were briefly discussed. Then the DEM was studied in the remainder of the
semester. The DEM is quite a different approach compared to other numerical
methods. There are a number of applications of particle physics involving large
discontinuous deformations of the particulate media. Some of the examples may
include: asphalt concrete and Portland cement concrete manufacturing, aggregate
producing, grain transportation, and others. In asphalt mixture, each aggregate
is a piece of particulate material and the particulate medium may deform as a
solid, flow as a fluid, or behave as individual particles (Itasca Consulting
Group 2004). All of these “phases” may play important roles in the analysis, yet
at present there is no model available to account for these different
characteristics of the particulate material behavior. In order to describe the
particulate mechanics problems, a model which simulates the material as a
collection of individual particles that interact only at inter-particle contact
points are referred as distinct (or discrete) element method (DEM).
Class demonstrations included different packing methods for granular
materials and DEM coding as well as the simulations. Students liked to see
different packing techniques by programming. The Brazilian test, similar to an
indirect tensile test (Ullidtz 2001) in hot mix asphalt was introduced to
students to evaluate the compressive and tensile stresses in a specimen as well
as the tensile strength of the specimen. Some other DEM simulations such as
tip-loaded cantilever beam, collisions with a particle assembly, biaxial test,
core flow versus mass flow hopper, dynamics of a beam-column structure, granular
flow from a hopper, mine block-caving process, and rockfall (Itasca Consulting
Group 2004) were introduced to students using the advanced multi-media facility
in the classroom. Students were able to conduct the same simulation in class.
Therefore, they were able to repeat the modeling and simulation procedures.
Students were also asked to do similar simulations by changing some boundary
conditions or other parameters in the codes.
Students learned by practice. The assignments included different basic
modeling concepts. For example, in the DEM, students were asked to conduct a
very simple simulation of a two-particle system model (i.e., two elements in
series), in which they used a stiffness model, a slip model, and a bonding
model, respectively. Simple verification problems were assigned to students to
learn the programming technique including particle and geometry generation,
contact laws, and displacement and contact force monitoring. Elements may have
different shapes of elements such as circular, disk, oval, spherical, or even
irregular elements. In this class, only circular elements were used (You and
Buttlar 2006; You and Dai 2007). One of the simple assignments to students was
to simulate asphalt mixture compaction. Students needed to generate the boundary
geometries (walls) and specific gradation of aggregate particles (a typical
coarse aggregate gradation of a type of asphalt mixture). Then a compaction
procedure will be applied. Students monitored the contact force generated in the
particle-particle contacts. The dark lines indicate the compressive contact
force, where the thickness of the line indicates the magnitude of the contact
force. Mini-research projects were assigned to students. The assignments
required students use DEM to conduct the following tasks: compaction simulation
of sand particles, coarse aggregate sieving simulation, a mix of different soil
compaction and some other complicated engineering problems.
Advanced topics introduced to students included the most recent modeling
technique using DEM (Itasca Consulting Group 2004; You 2003; You and Buttlar
2005; You et al. 2006). For example, cohesive strength and adhesive strength in
cohesive material such as asphalt mixture were explained in detail so that
students had a better chance to understand the micro-properties of the material.
The micro-properties and macro-properties of the material were illustrated to
students by using the example from recent research work (You 2003). A clustered
DEM approach, or so-called microfabric discrete element modeling (MDEM), was
introduced to students to analyze asphalt mixture microstructure. For example,
the elements of a piece of asphalt mixture, where various material phases (e.g.,
aggregates, mastic) were modeled with bonded clusters of elements. Particularly,
the DEM was first applied in the asphalt mixture microstructure using a number
of elements to represent the aggregate and mastic, where the mastic was assumed
to be a combination of asphalt and aggregate finer than 2.36 mm.
Research studies with DEM have appeared in a number of universities. Table
1 shows a list of the authors and institutions which have used DEM in the study
of asphalt mixtures. Many researchers have used DEM in this area as well. The
author has introduced the application of the DEM in graduate student projects at
Texas A&M University –Kingsville (TAMUK) and Michigan Technological University
(MTU) (You and Dai 2006a). In Texas, five graduate students completed their
master degree research projects using the DEM and finite element modeling
simulation. In addition, several student papers have been prepared for
publication. Two Ph.D. students and two postdoctoral researchers at MTU are
currently conducting further research to develop the DEM in asphalt mixtures so
that a friendly user interface and functional predictive tool can be available.
As part of the learning outcome, some students were able to modify the models to
conduct an asphalt mixture beam loading study by trimming the specimen to a beam
shape and an asphalt pavement permanent deformation study by applying a
viscoelastic contact model. Some students were able to use the DEM technique to
conduct water contaminant study and sediment study at the TAMUK campus. Using
the models developed in the class, students were able to utilize the virtual
laboratory simulation (DEM), by preparing the input parameters measured from the
laboratory (Dai and You 2006; You 2003; You and Buttlar 2005). Students were
able to compare the lab measurements and the DEM prediction of the mixture
complex modulus across a range of test temperatures and loading frequencies. It
is found that the students trained in this class were able to understand the
basic engineering experiments.
Author(s)
Study
Institutions
Rothenburg, L.
Bogobowicz, A
Hass, R. (Rothenburg et al. 1992)Micromechanical Modelling of
Asphalt Concrete in Connection with Pavement
Rutting Problems
University of Waterloo,
Canada
Chang and Meegoda (Chang and
Meegoda 1997; Chang and Meegoda 1999)
DEM application on asphalt
mixture with a modified code
New Jersey Institute of
Technology
Buttlar and You (Buttlar and
You 2001), You (You 2003)
Development of a
Micromechanical Modeling Approach to Predict
Asphalt Mixture Stiffness Using Discrete Element
Method
University of
Illinois-Urbana-Champaign
Abbas and others (Abbas et
al. 2005; Abbas 2004)
Simulation of The
Micromechanical Behavior of Asphalt Mixtures
Using the Discrete Element Method
Washington State University
and Texas A&M University
Fu (Fu 2005)
Experimental Quantification
and DEM Simulation of Micro-Macro Behaviors of
Granular Materials Using X-ray Tomography
Imaging
Louisiana State University
and Agricultural and Mechanical College
Collop and others (Collop et
al. 2004; Collop et al. 2006)
Modelling dilation in an
idealised asphalt mixture using discrete element
modelling
University of Nottingha, UK
You and Buttlar (You and
Buttlar 2002; You and Buttlar 2004; You and
Buttlar 2005; You and Buttlar 2006)
Stiffness Prediction of Hot
Mixture Asphalt (HMA) Based upon Microfabric
Discrete Element Modeling (MDEM)
Michigan Technological
University and University of
Illinois-Urbana-Champaign
Dai and You (Dai and You
2007)
Prediction of Creep
Stiffness of Asphalt Mixture by comparing DEM
and FEM
Michigan Technological
University
In this paper, the author presented a Distinct (Discrete) Element Method (DEM)
course offered for graduate students. In the course work, students were taught
the theory and application of DEM. The course served a variety of functions in
the curriculum. First, students learned an advanced numerical analysis
technique, which covered basic knowledge in DEM for engineering purposes. The
second function was to introduce the students to a wide range of issues common
to all disciplines of engineering, including basic engineering problem solving
methods, computer operations, computer programming, presentation, and writing
reports. The third function of this course was to introduce research concepts
such as the micromechanical modeling approach in DEM to students at a high
academic level. The course provided students’ working knowledge and practical
skills in DEM theory and application, with a specific focus on aggregate-asphalt
mixture simulation and analysis. Students learned to use DEM in engineering
analysis and simulation. This course offered students a very solid background in
basic concepts and interesting research topics.