Qingli
Dai, Ph.D.
Assistant Professor
Department of
Civil and Environmental Engineering
Michigan Technological University
Office: Dow 862
Phone: 906-487-2620
Email: qingdai@mtu.edu
RESEARCH
INTERESTS
1.
Computational
analysis for material research: multiscale modeling,
finite element analysis, discrete element analysis, Multiphysical
modeling, fracture-healing simulation and molecular dynamics
2.
Properties
and performance of asphalt mixtures
3.
Microstructure,
property and durability of concrete
4.
Self-healing
construction materials, alternative and emerging materials
5.
Active
material actuation, structural vibration reduction
6.
Acoustic
and ultrasonic sensing and measurement, X-ray and neutron scattering charaterization
Research
Group
Current Ph.D. Students:
Xiao Sun (to
graduate in 2016)
Zigeng Wang (to graduate in 2015)
Shuaicheng Guo (to graduate in Dec
2017)
Graduated graduate Students:
Ryan Lemmens, PhD, graduated fall 2014
Kenny Ng, PhD,
graduated fall 2012
Jun Zhou, M.S.,
graduated in spring, 2011
Xiao Sun, M.S.,
graduated in spring, 2014
Current
Undergraduate Students:
Jacob Kurtz, spring 2015
Wanbing Bai, spring 2015
Autumn Storteboom,
fall 2014 & spring 2015
Derek
Waldorf, summer & fall 2014
We like to
invite the Graduate research assistants
to join our research group. My current
research interests are computational modeling of infrastructure materials such
as asphalt mixtures and concrete, self-healing materials, fracture or damage
mechanism, chemo-physical properties, and advanced experimental techniques, as
well as smart-material actuator design and wind-structure interactions. My goal is to develop integrated numerical
and experimental techniques for sustainable infrastructure applications. Sound
experimental and computational mechanics background is preferred. Please send
your C.V. and transcripts to me
(qingdai@mtu.edu) if interested. You also need apply Ph.D. program in Civil
Engineering at MTU.
We also like to
welcome the visiting scholars to
join our research group. The research background in various topics related to
materials, structures, sensing and computation can fit into our on-going
research activities.
SELECTED
REFEREED JOURNAL PUBLICATIONS
Year 2015
Sun,
X., Zhang, B., Dai, Q. and Yu, X. (2015) “Investigation of Internal Curing
Effects on Microstructure and Permeability of Interface Transition Zones in
Cement Mortar with SEM Imaging, Transport Simulation and Hydration Modeling
Techniques”, Journal of Construction and Building Materials, Elsevier, Volume
76, Pages 366–379.
Yang,
X., Dai, Q., You, Z., Wang, Z. “Integrated Experimental-Numerical Approach for
Estimating Asphalt Mixture Induction Healing Level through Discrete Element
Modeling of a Single-Edge Notched Beam Test”, ASCE's Journal of Materials in
Civil Engineering, in press.
Year 2014
Lemmens, R. J., Dai, Q., Meng, D.D. (2014), “Side-Groove Influenced Parameters for
Determining Fracture Toughness of Self-Healing Composites Using a Tapered
Double Cantilever Beam Specimen”, Journal of Theoretical and Applied Fracture
Mechanics, Elsevier, Volume 74, December 2014, Pages 23–29
Sun,
X., Dai, Q. and Ng, K. (2014) “Computational Investigation of Pore Permeability
and Connectivity from Transmission X-Ray Microscope Images of a Cement Paste
Specimen", Journal of Construction and Building Materials, Elsevier,
volume 68, 15, October 2014, pages 240-251.
Dai,
Q. and Ng, K. (2014). “2D cohesive zone modeling of crack development in cementitious digital samples with microstructure
characterization”, Journal of Construction and Building Materials, Elsevier,
Volume 54, 15, March 2014, Pages 584–595.
Ng,
K. and Dai, Q. (2014) “Numerical Investigation of Internal Frost Damage of
Digital Cement Paste Samples with Cohesive Zone Modeling and SEM Microstructure
Characterization", Journal of Construction and Building Materials,
Elsevier, 50(15), 266–275.
Yang
X., You, Z, Dai, Q., Mills-Beale, J. (2014) “Mechanical performance of asphalt
mixtures modified by bio-oils derived from waste wood resources”, Construction
and Building Materials, Elsevier, 51(31), 424-431
Dai,
Q. and Ng, K. (2014). “Transmission X-Ray Microscope Nanoscale Characterization
and 3D Micromechanical Modeling of Internal Frost Damage in Cement Paste.” the
Special Issue on: Mechanics of Nanocomposites and
Nanostructures, ASCE Journal of Nanomechanics and
Micromechanics, 4(1).
Ng,
K., Sun, Y., Dai, Q., and Yu, X. (2014) "Investigation of Internal Frost
Damage in Cementitious Materials with Micromechanics
Analysis, SEM Imaging and Ultrasonic Wave Scattering Techniques,” Journal of
Construction and Building Materials, Elsevier, 50(15), 478–485.
Year 2013
Dai,
Q., Wang, Z. and Mohd Hasan, M. (2013) “Investigation
of Induction Healing Effects on Electrically Conductive Asphalt Mastic and
Asphalt Concrete Beam through Fracture-Healing Tests,” Journal of Construction
and Building Materials, Elsevier, 49, 729–737
Yang,
X. You, Z., Dai, Q. (2013) “Performance Evaluation of Asphalt Binder Modified
by Bio-oil Generated from Waste Wood Resources.” International Journal of
Pavement Research & Technology, 6(4).
Dai,
Q., Ng, K., Liu, Y., and Yu, X. (2013) "Investigation of Internal Frost
Damage in Concrete with Thermodynamic Analysis, Micro-Damage Modeling and
Time-Domain Reflectometry Sensor Measurements." Journal of Materials in
Civil Engineering, ASCE, 25(9), 1248–1259. doi: 10.1061/(ASCE)MT.1943-5533.0000761.
Year 2012
Dai,
Q. and Ng, K. (2012) “Investigation of Electromechanical Properties of
Piezoelectric Structural Fiber Composites with Micromechanics Analysis and
Finite Element Modeling”, Mechanics of Materials, Elsevier, 53, 29–46.
http://dx.doi.org/10.1016/j.mechmat.2012.04.014.
Dai,
Q., Ng, K., Zhou, J., Kreiger, E.L. and Ahlborn, T. M. (2012), “Damage Investigation of Single-Edge
Notched Beam Tests with Normal Strength Concrete and Ultra High Performance
Concrete Specimens using Acoustic Emission Techniques,” Construction and
Building Materials, Elsevier, 31, 231-242.
Ng,
K. and Dai, Q. (2012), “Tailored Extended Finite-Element Model for Predicting
Crack Propagation and Fracture Properties within Idealized and Digital Cementitious Material Samples,” Journal of Engineering
Mechanics, ASCE, 138 (1), 89-100, http://ascelibrary.org/emo/resource/1/jenmdt/v138/i1/p89_s1
Year 2011
Ng,
K. and Dai, Q. (2011), “Investigation of Micro-Crack Behavior of Infrastructure
Materials with EXtended Finite Element Method and
Image Analysis,” Journal of Materials in Civil Engineering, ASCE, Vol. 23 (12),
1662-1671.
Dai,
Q., Yu, X., Ng, K. and Liu, Z. (2011), “Development of Micromechanics Models
and Innovative Sensor Technologies to Evaluate Internal-Frost Damage of
Concrete,” Journal of the Transportation Research Board, National Academies,
No. 2240, 50-58.
Dai,
Q. (2011), “A Three-Dimensional Micromechanical Finite Element Network Model
for Damage-Coupled Elastic Behavior of Stone-Based Composite Materials,”
Journal of Engineering Mechanics, ASCE, 137, 6, 410-421.
Liu,
Y., You, Z., Dai, Q., and Mills-Beale, J. (2011). "Review of advances in
understanding impacts of mix composition characteristics on asphalt concrete
(AC) mechanics." International Journal of Pavement Engineering, 12(4),
385-405.
You,
Z., Liu, Y., and Dai, Q. (2011), "Three-dimensional Microstructural-based
Discrete Element Viscoelastic Modeling of Creep Compliance Tests for Asphalt
Mixtures." Journal of Materials in Civil Engineering, ASCE, 23, 1, 79-87.
Year 2010
Dai,
Q. (2010), “Two- and Three-Dimensional Micromechanical Viscoelastic Finite
Element Modeling of Stone-Based Materials with X-Ray Computed Tomography
Images,” Construction & Building Materials, Elsevier, 25, 1102-1114.
You,
Z., Mills-Beale, J., Foley, J. M., Roy, S., Odegard,
G. M., Dai, Q., and Goh, S. W. (2010). "Nanoclay-modified
asphalt materials: Preparation and characterization." Construction and
Building Materials, 25, 1072-1078.
Dai,
Q. (2010), “Micromechanical Viscoelasto-Plastic
Models and Finite Element Implementation for Rate-Independent and
Rate-Dependent Permanent Deformation of Stone-Based Materials,” International
Journal for Numerical and Analytical Methods in Geomechanics,
Wiley InterScience, 34 (13), 1321-1345.
Dai,
Q. (2010), “Prediction of Dynamic Modulus and Phase Angle of Stone-Based
Composites using Micromechanical Finite Element Approach,” Journal of Material
in Civil Engineering, ASCE, 22 (6), 618-627.
Year 2009
Dai, Q. and You, Z. (2009),
“Micromechanical Finite Element Framework for
Predicting Viscoelastic Properties of Heterogeneous Asphalt Mixtures,” Materials
and Structures, Springer
Netherlands, Vol. 41(6), pp.1025-1037, ISSN: 1359-5997 (Print) 1871-6873 (Online), Online at http://www.springerlink.com/content/6272035711512866
You, Z., Adhikari, S., Masad,
E., and Dai, Q. (2009), “Microstructural and Micromechanical Properties of
Field and Lab-Compacted Asphalt Mixtures,” Journal of Association of Asphalt
Paving Technologists (AAPT), Vol. 78, 2009 (scheduled).
Liu,
Y., Dai, Q., You (2009), “Development of a Viscoelastic Model for Discrete
Element Simulation of Asphalt Mixtures,” Journal of Engineering Mechanics,
ASCE, accepted for publication on 04/22/2008, scheduled for April issue of
2009.
You,
Z., Adhikari, S., and Dai, Q. (2009), “Air Void
Effect on An Idealized Asphalt Mixture Using a Two-Dimensional and Three-Dimensional
Discrete Element Modeling Approach,” International Journal of Pavement
Engineering, accepted for publication 09/02/2007.
You,
Z., Mills-Beale, J., Williams, R.C., and Dai, Q. (2009), “Measuring the
Specific Gravities of Fine Aggregates in Michigan: An Automated Procedure,” International Journal of Pavement Research
and Technology, Vol. 2(2), pp.37-50, ISSN 1996-6814.
Mills-Beale, J., You, Z.,
Williams, R.C., and Dai, Q. (2009), “Determining the Specific Gravities of
Coarse Aggregates in Michigan Utilizing Vacuum Saturation Approach,” Construction & Building Materials,
Elsevier, Vol. 23(3), pp.1316-1322.
Year
2008
You,
Z., Adhikari, S., and Dai, Q. (2008), “Three-Dimensional Discrete Element Models for Asphalt
Mixtures,” Journal of Engineering Mechanics, ASCE, Vol. 134(12),
pp.1053-1063.
Year 2007
Dai, Q. and
You, Z. (2007) “Prediction of Creep
Stiffness of Asphalt Mixture with Micromechanical Finite Element and Discrete Element
Methods,” Journal of Engineering Mechanics, ASCE, Vol. 133(2), pp.163-173.
You, Z. and Dai, Q. (2007), “A Review of Advances in
Micromechanical Modeling of Aggregate-Aggregate Interaction in Asphalt
Mixture,” Canadian Journal of Civil
Engineering /Rev. can. génie
civ., Vol. 34(2), pp.1519-1528, ISSN: 1208-6029
You, Z. and Dai, Q., (2007), “Complex Modulus
Predictions of Asphalt Mixtures Using a Micromechanical -Based Finite Element
Model,” Canadian Journal of Civil
Engineering /Rev. can. génie
civ., Vol. 34(12), pp.1-10, ISSN: 1208-6029
Year 2006
Dai, Q., Sadd, M.H. and You,
Z. (2006), “A Micromechanical Finite Element Model
for Linear and Damage-Coupled Viscoelastic Behavior of Asphalt Mixture,” International
Journal for Numerical and Analytical Methods in Geomechanics, Wiley InterScience,
Vol. 30(11), pp.1135-1158.
Year 2005
Dai, Q., Sadd, M.H., Parameswaran, V. and Shukla, A. (2005), “Prediction of Damage Behaviors in Asphalt Materials using a Finite Element Micromechanical Model and Image Analysis,” Journal of Engineering Mechanics, ASCE, Vol. 131(7), pp.668-677.
Sadd, M.H. and Dai, Q. (2005),
“A Comparison of Micromechanical Modeling of Asphalt
Materials Using Finite Elements and Doublet Mechanics,” Mechanics of
Materials, Elsevier, Vol. 37(6), pp.641-662.
Year
2004
Dai, Q., and Sadd, M.H.
(2004), “Parametric
Model Study of Microstructure Effects on Damage Behavior of Asphalt Samples,”
International Journal of Pavement Engineering, Vol. 5(1), pp.19-30.
Sadd, M.H., Dai, Q., Parameswaran, V. and Shukla, A. (2004), “Simulation of Asphalt Materials Using a Finite Element
Micromechanical Model with Damage Mechanics,” Journal of Transportation
Research Board, National Academy of Sciences, No.1832, pp.86-95.
Sadd, M.H., Dai, Q., Parameswaran, V. and Shukla, A. (2004), “Microstructural
ACTIVE
FUNDED
PROJECTS
The objective of this collaborative research project is to advance the smart blade system through innovations in areas of advanced computational models of fluid-structure interactions, sensors and actuators. Wind energy, an important source of clean and renewable energy, is becoming a major component of the U.S. energy portfolio. The interest in large capacity wind turbines as an economical way to harvest wind energy has significantly increased in recent years. Wind turbine blades are over 100m in length and the trend of increasing the size of the blades continues. However, increases in the size of wind turbine blades means that aerodynamic vibrations need to be managed to prevent catastrophic failures. The collaborative project team takes an innovative perspective to advance the smart turbine blade technology. The hypothesis of this research is that aerodynamic vibrations in wind turbine blades can be effectively mitigated with bio-inspired strategies for flow sensing, surface morphological change and fluid-structure interactions. The specific goals of this research project are 1) to understand blade vibration dynamics with advanced modeling of fluid-structure interactions; 2) to study the mechanism of bio-sensing for flow turbulence determination and to implement a feasible sensor design strategy; and 3) to understand and emulate the functions of "smart fins" and "smart denticles" for aerodynamic vibration reductions. A systematic approach will be undertaken by combining modeling, sensing and actuation strategies. The smart blade system performance will also be validated via simulation-based virtual testing and reduced-scale model experiments. All of these aim to advance the state of art in the smart wind turbine blades.
REF-Research Seed:
An Electroactive Multiphase Material System with Enhanced Mechanical Properties
and Self-Healing and Energy-Harvesting Functions; Principal Investigators:
Qingli Dai (Researchers: Zigeng Wang)
Michigan Dept of Environmental Quality: Low Emission Asphalt
Pavements with Crumb Rubber; Principal Investigators: Zhanping
You and Qingli Dai (Researchers: Hui Yao)
Michigan Tech
Transportation Research Institute: Development of Advanced Ultrasonic
Techniques for Air Void Size Distribution in Early-Stage and Hardened Concrete,
Principal Investigators: Zhen Liu and Qingli Dai (Researchers: Shuaicheng Guo)
The primary objective of this research is to explore microfluidic encapsulation methods to fabricate self-healing microfibers with unprecedented morphology control and material flexibility. Currently, spherical microcapsules, prepared by emulsification processes, account for the limited availability of healing agent and lack of multi-cycle healing capability. Self-healing microfibers are proposed to provide better healing performance with lower concentration and multiple healing capabilities. Microfluidic encapsulation will be investigated to generate elongated compound droplets as self-healing microfibers and gain better understanding on the control of the fabrication process. The proposed micro-encapsulator is expected to become a fabrication platform to systematically investigate the impact of microcapsule size and morphology on the bulk property of self-healing composite, which hasn’t been adequately supported by the existing fabrication methods. The micromechanical modeling and testing methods are expected to further our understanding on this fundamental issue and provide a guideline for the design of future self-healing systems.
• CE4201: Matrix Structural Analysis
• CE5202: Finite Element Analysis
• MEEM 5150: Advanced Mechanics of Materials
• MEEM4990 – Special Topics in Mechanical Engineering
• MEEM 4405: Introduction to Finite Element Methods
Editorship:
Associate
Editor, ASCE Journal of
Materials in Civil Engineering
Committee Member, ASCE Granular Materials Committee, Engineering Mechanics Institute, 2010-present
Committee
Member, ASCE Bituminous Materials Committee, Construction Institute,
2011-present
Committee
Member, ASCE Pavement Committee, Geo-Institute, 2011 - present
Committee
Member, ASCE Geophysics Committee, Geo-Institute, 2011 - present
Updated
4/2015