Computer-Aided
Engineering
Research Project Abstracts: 2006-
2007
Non-Residential Solid Waste Management Life-Cycle Inventory Model
M.A. Barlaz and S.R. Ranjithan
Delaware Solid Waste Authority
07/06 to 06/08
The objective of this project is to assess the environmental performance of
alternatives for the management of commercial and industrial waste generated
in the State of Delaware. The initial focus is on the recycling of asphalt pavement,
construction and demolition waste, and food waste generated in commercial sources.
Process flow diagrams for recycling alternatives for each waste serve as a starting
point for life-cycle analysis.
Application of Municipal Solid Waste Decision Support Tool to Wake County,
North Carolina
M.A. Barlaz and S.R. Ranjithan
US EPA
01/05 to 06/07
This project will conduct an integrated solid waste management study for Wake
County, NC. Working in coordination with the county solid waste staff, this
study will be conducted to obtain as much site-specific data as possible for
input to NCSU's SWM-LCI (Solid Waste Management Life Cycle Inventory) model.
This information will be processed for input data and strategy development to
represent Wake County in the SWM-LCI model. This will take advantage of the
existing model's flexibility to represent a site-specific scenario.
Efficient Computational Methods for Accurate Simulation of Wave Propagation
M.N. Guddati
National Science Foundation
01/01 to 09/06
Wave propagation is encountered in countless problems of practical importance
such as nondestructive evaluation, earthquake engineering, seismology, and medical
imaging. In spite of its immense importance and extensive research performed,
the current approaches to modeling of wave phenomenon still suffer from several
shortcomings related to computational efficiency and accuracy. This project
is aimed at devising new and efficient modeling techniques that would result
in highly accurate solutions with relatively low computational cost. Most recent
results from this research are related to dispersion reducing finite element
methods and absorbing boundaries.
Strategies for Atomistic-Continuum Coupling in the Simulation of Dynamic
Fracture
M.N. Guddati and P.K. Nukala (ORNL)
Unsponsored
02/05 to present
Detailed simulation of dynamic fracture can be performed by modeling the crack
tip region using molecular dynamics, while modeling the rest of the domain as
a continuum analyzed by finite element methods. When the two simulation domains
are coupled in a conventional manner, there tends to be spurious heat-up (due
to energy trapping) at the crack-tip region resulting from the disparity in
length scales combined with the discretization errors. In this project, we are
attempting to develop numerical algorithms that minimize the spurious energy
trapping, thus resulting in accurate simulation of the physical phenomenon.
Development of Traffic Data Input Resources for the Mechanistic-Emperical
Pavement Design Process
North Carolina Department of Transportation
Y.R. Kim, G. List, J. Stone, and W. Rasdorf
7/1/2007-6/30/2009
The Mechanistic-Empirical Pavement Design Guide for New and Rehabilitated Pavement
Structures uses nationally based data traffic inputs and recommends that state
DOTs develop their own site-specific and regional values. NCDOT recently completed
an implementation plan for adopting the MEPDG, and two of the critical implementation
recommendations addressed new data collection requirements for site-specific
truck classification counts, truck axle load spectra, regional average seasonal
adjustment factors, and forecasting methods for axle loads, as well as truck
class volumes. This research project addresses these NCDOT traffic data and
forecasting needs for implementing the MEPDG.
Calibration of Rutting Models for HMA Structural and Mix Design
R. Kim and M.N. Guddati
NCHRP 9-30A, Subcontract from Applied Research Associates, Inc.
11/05 to 10/08
The objective of this research effort is to recommend revisions to the HMA rut
depth prediction model in the mechanistic-empirical pavement design guide and
software developed in NCHRP Project 1-37A for consideration by the NCHRP Project
1-40 panel and the AASHTO Joint Task Force on Pavements. The recommended revisions
will be based on the calibration and validation of distress models with measured
materials properties and performance data from existing field and other full-scale
pavement sections that incorporate modified as well as unmodified asphalt binders.
Development of Multi-axial VEPCD-FEP++ and its Extension to Indirect Tension
Test
Y.R. Kim and M.N. Guddati
Federal Highway Administration
09/05 to 08/07
Over the past decade, the NCSU research team has been successful in developing
HMA models that can accurately capture various critical phenomena such as microcrack
induced damage, strain rate - temperature interdependence, and viscoplastic
flow that is critical for high temperature modeling; the resulting model is
termed the viscoelastoplastic continuum damage (VEPCD) model. The primary objectives
of this research are to (1) extend the VEPCD model to multiaxial state of stress;
(2) develop a three-dimensional finite element program with the multiaxial VEPCD
model; and (3) extend the principles used in the VEPCD modeling to the indirect
tension mode.
Development of the Asphalt Pavement Performance Prediction Methodology Based
on the Viscoelastoplastic Continuum Damage Theory
Y.R. Kim and M.N. Guddati
Korea Highway Corporation
10/04 to 12/06
The primary objectives of this research are (1) standardization of test and
analysis methods for the determination of viscoelastic properties and performance
of asphalt mixtures; (2) development of the multiaxial viscoelastoplastic continuum
damage (VEPCD) models using the indirect tension test and triaxial permanent
deformation test; (3) development of the VEPCD finite element program (VEPCD-FEP++);
(4) calibration of the VECPD-FEP++ using the data measured from the KHC Test
Road pavements; (5) development of transfer functions for the 33 asphalt pavements
in the Test Road; and (6) development of a user-friendly graphic interface for
pre- and post-processing of the VEPCD-FEP++.
PERI: Performance Engineering Research Institute: Application Engagement
G. Mahinthakumar
UT Battelle LLC
04/07 to 09/11 (renewed annually)
This project is part of a larger scale effort funded by DOE through the SciDAC
(Scientific Discovery through Advanced Computing) program. The overall goal
of the project is to develop and maintain an enabling technology center in the
area of high-end computer performance called performance engineering research
institute (PERI). NCSU component of this project will focus on performance analysis,
performance modeling, and performance optimization of SciDAC groundwater application
codes.
DDDAS-TMRP (Collaborative Research): An Adaptive Cyberinfrastructure for
Threat Management in Urban Water Distribution Systems
G. Mahinthakumar, E.D. Brill, R. Ranjithan (Co-PI's, NCSU), J. Uber (PI,
University of Cincinnati); Gregor Von Laszewski (PI, University of Chicago);
and K. Harrison, (PI, University of South Carolina)
National Science Foundation (Dynamic Data Driven Application Systems Program)
01/06 to 12/08
The goal of this multidisciplinary research is to develop a cyberinfrastructure
system for water distribution system threat management that will both adapt
to and control changing needs in data, models, computer resources and management
choices facilitated by a dynamic workflow design. Using virtual simulation and
a field study, this cyberinfrastructure will be tested on illustrative scenarios
for adaptive management of contamination events in water distribution systems.
High-end Computing in Environmental Engineering with Application to Subsurface
Characterization
G. Mahinthakumar
National Science Foundation (Career)
07/03 to 06/08
Accurate characterization of the subsurface is an important element in the development
of reliable and efficient groundwater management practices. Accurate and reliable
estimation of hydraulic conductivity distribution, contaminant distribution,
and/or contaminant source release history is necessary for problems such as
estimating groundwater yields, design of efficient cleanup strategies, and identifying
responsible parties in a contamination incident. This requires solution of an
inverse problem because direct measurement of detailed subsurface properties
is not feasible. Inverse problems are difficult to solve and are computationally
demanding. This multidisciplinary NSF Career project will investigate novel
computational strategies for the efficient solution of large-scale inverse problems
in subsurface characterization.
ITR: A Prototype to Support Near Real-Time Environmental Characterization
G. Mahinthakumar, R. Ranjithan, and Nick Karonis (Northern Illinois University)
National Science Foundation
09/03 to 08/06
The overall goal of this project is to investigate formal computational approaches
that can readily harness grid computing for the efficient solution of environmental
characterization problems. To this end, we will develop a grid-enabled software
framework. Two alternative paradigms, one based on the grid-enabled version
of MPI (Message Passing Interface), and the other based on Java will be explored.
The framework will be applied to groundwater and surface water problems, both
of which are of prime societal importance.
GRS Supplement to ITR to Increase Minority Participation
G. Mahinthakumar and R. Ranjithan
National Science Foundation (Graduate Research Supplement program)
09/05 to 08/06
This graduate research supplement supports an African American environmental
engineering PhD student to conduct research in parallel simulation-optimization
techniques and to carry out teaching activities leading to an academic career.
Development of a Design Tool for Planning Aqueous Amendment Injection Systems
R.C. Borden (NCSU), G. Mahinthakumar (NCSU), T.J. Simpkin (CH2M HILL), and
C. Zawtocki (Solutions-IES)
DOE, Environmental Security Technology Certification Program
03/06 to 12/08
The overall objective of this project is to develop a set of tools to assist
design engineers in developing effective, reasonably efficient systems for distributing
aqueous amendments for in situ treatment of groundwater contaminants. At this
time, the primary applications for the tools will be for design of in situ chemical
oxidation systems using permanganate and in situ anaerobic bioremediation systems
using soluble substrates and emulsified oil. However, as technology evolves,
this general approach should be applicable to distribution of other aqueous
amendments.
Modeling the Impact and Blast Performance of Fiber Reinforced Concrete
V.C. Matzen and Abhinav Gupta
Idaho National Laboratory
2006 to 2009
This study is aimed at providing an experiment-based application for the blast/impact
software investigation to be carried out at INL. An active research collaboration
between INL and the Center for Nuclear Power Plant Structures, Equipment and
Piping at NCSU is proposed. The collaboration will provide NCSU personnel an
access to the advanced finite element software available at INL to model the
structural performance of FRC. Simple experiments on FRC structural members
will be conducted at NCSU for reconciliation of analytical and experimental
results. The purpose would be to help in the development of new FRC material
to withstand impact and blast loads.
GIS-Based Research of Natural and Anthropogenic Terrain Change Impacts on
Water and Sediment Transport in Different Environments
H. Mitasova and M. Overton
Army Research Office
07/04 to 06/07
The proposed research will focus on the acquisition of new knowledge about the
interactions between natural processes and anthropogenic activities that can
be used to improve current understanding of terrain change impact on landscape
processes. The objectives are to investigate these interactions within three
fundamentally different environments affected by different development activity:
a coastal barrier island environment, a montane tropical watershed, and a piedmont
landscape that includes a military installation. The research will be directed
toward the development and analysis of methods for GIS-based modeling of topography,
its structure and evolution and innovative numerical landscape erosion and evolution
modeling techniques.
Life Cycle Inventory and Impact Analysis Framework for Nonroad Construction
Vehicles and Equipment Based Upon In-Use Measurements
H.C. Frey and W.J. Rasdorf
National Science Foundation
08/03 to 08/07
This project represents the initial step toward development of a probabilistic
life cycle inventory and impact analysis framework for nonroad construction
vehicles and equipment. The objectives are to (1) characterize second-by-second
in-use emissions and energy use of nonroad construction vehicles and equipment,
including emissions of NOx, CO, hydrocarbons (HC), CO2, and particulate matter
(PM), including real time sensing and monitoring where needed to fill data gaps;
(2) develop a life cycle inventory of conventional nonroad construction vehicles
and equipment; and (3) identify and recommend methods for reducing energy use,
emissions, and impacts.
Development of Traffic Data Input Resources for the Mechanistic-Emperical
Pavement Design Process
R. Kim, G.List, J. Stone, and W. Rasdorf
North Carolina Department of Transportation
07/07 to 06/09
The Mechanistic-Empirical Pavement Design Guide for New and Rehabilitated Pavement
Structures uses nationally based data traffic inputs and recommends that state
DOTs develop their own site-specific and regional values. NCDOT recently completed
an implementation plan for adopting the MEPDG, and two of the critical implementation
recommendations addressed new data collection requirements for site-specific
truck classification counts, truck axle load spectra, regional average seasonal
adjustment factors, and forecasting methods for axle loads, as well as truck
class volumes. This research project addresses these NCDOT traffic data and
forecasting needs for implementing the MEPDG.
Fuzzy Neural Network Models for Geotechnical Problems
M. Shamimur Rahman
NC Department of Transportation
07/04 to 06/07
Recently an alternative approach to modeling has emerged under the rubric of
'soft computing' with 'neural network' and 'fuzzy logic' as its main constituents.
The general nature of geotechnical problems and the consequent role engineering
judgments play in their treatment, make them ideally amenable to modeling through
these emerging methods of modeling. The main objective of the proposed research
is to: (i) develop a general framework and a computational toolbox for development
of fuzzy neural network models to geotechnical problems, and (ii) to develop
fuzzy neural network model for a variety of geotechnical problems of interest
to NCDOT: (a) hammer approval, and (b) settlement prediction.
Pavement Marking Performance Analysis
J.E. Hummer and W. Rasdorf
NC Department of Transportation
7/07 to 06/09
With an investment of $1 million after five years of data collection, the NCDOT
requested that NCSU develop a pavement markings research plan in order to analyze
relationships between pavement marking retroreflectivity values and variables
such as marking color, marking age, pavement surface, and AADT. Understanding
retroreflectivity performance over time is important to establishing a pavement
marking strategy that maximizes the material's service life and minimizes the
replacement of pavement markings that still have sufficient retroreflectivity.
Furthermore, this understanding will enable the NCDOT to implement management
strategies that achieve the Federal standards for minimum pavement marking retroreflectivity.
Sign Deterioration Analysis Layout Plan
J.E. Hummer and W. Rasdorf
NC Department of Transportation
08/01/06 to 08/15/06
There is a need to better understand how the retroreflectivity of sign sheeting
degrades over time in the field so that the NCDOT can better manage their sign
assets. One way of obtaining this understanding is to establish a sign farm.
While field measurement of in-place signs affords valuable data, there are uncontrollable
factors that are faced when using only in-place signs (vandalism, natural damage,
etc.). This project established a methodology and design for a sign farm in
which a wide range of factors of interest can be fully controlled and measured.
These include sign color, type, orientation, height, etc.
Real World Duty Cycles and Utilization for Construction Equipment in NC
H.C. Frey and W.J. Rasdorf
NC Department of Transportation
07/05 to 06/07
Construction vehicles contribute substantially to statewide emissions. Thirty-two
NC counties are partially or fully designated as non attainment under new air
quality standards for ozone. Therefore there is a need to more accurately quantify
the emissions from construction vehicles and seek opportunities to manage or
reduce emissions. The goal of this study is to assess construction equipment
types and uses, plan a field study, measure emissions and collect data, analyze
the data and develop typical cycles, and demonstrate methods for estimating
emissions for construction equipment.
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