Gregory M. Odegard

Gregory M. Odegard


Richard and Elizabeth Henes Professor of Computational Mechanics, Mechanical Engineering–Engineering Mechanics

Associate Chair and Director of Undergraduate Studies

Affiliated Professor, Materials Science and Engineering and ASME Faculty Advisor

  • PhD, University of Denver
  • MS, University of Denver
  • BS, University of Colorado at Boulder


Greg Odegard is Richard and Elizabeth Henes Professor of Computational Mechanics in the Department of Mechanical Engineering–Engineering Mechanics at Michigan Technological University. He holds a Bachelor of Science in Mechanical Engineering from the University of Colorado at Boulder, a Master of Science in Mechanical Engineering from the University of Denver, and a PhD in Materials Science from the University of Denver.

Odegard was a researcher at NASA Langley Research Center in Hampton, Virginia, from 2000 to 2004, when he joined the faculty at Michigan Tech. He has received numerous awards, including the Ralf R. Teetor Educational Award in 2011, the Ferdinand P. Beer and E. Russell Johnston Jr. Outstanding New Mechanics Educator Award in 2008, the Michigan Tech Outstanding Graduate Mentor Award in 2008, the Boeing/SDM Best Paper Award in 2005, and the SAMPE Outstanding Graduate Student Award in 1998.

Odegard has authored or co-authored over sixty technical journal articles and four book chapters, and has been involved in over one hundred conference presentations. According to Google Scholar, his publications have been cited over 4,000 times in the technical literature. His research has been funded by NASA, the Air Force Office of Scientific Research, the National Science Foundation, the National Institutes of Health, Mayo Clinic, Southwestern Energy, General Motors, REL, and Titan Tires. As a PI and co-PI, he has been involved in externally funded research projects totaling over $21 million. 

Links of Interest

Areas of Expertise

  • Mechanics of Materials
  • Materials Science

Research Interests

  • Computational Mechanics
  • Computational Materials Science
  • Computational Chemistry

Recent Publications

  • Wheatley, B.B., G.M. Odegard, K.R. Kaufman, T.L. Haut Donahue, “A Case for Poroelasticity in Skeletal Muscle Finite Element Analysis: Experiment and Modeling”, Computer Methods in Biomechanics and Biomedical Engineering, Vol. 20, no. 6, pp. 598-601 (2017) Read More
  • Wheatley, B.B.; G.M. Odegard; K.R. Kaufman; T.L. Haut Donahue, “A Validated Model of Passive Skeletal Muscle to Predict Force and Intramuscular Pressure”, Biomechanics and Modeling in Mechanobiology, Vol. 16, no. 3, pp. 1011–1022 (2017) Read More
  • Jensen, B.D., K.E. Wise, G.M. Odegard, “Simulation of Mechanical Performance Limits and Failure of Carbon Nanotube Composites”, Modeling in Materials Science and Engineering, Vol. 24, no. 2, 025012 (2016) Read More
  • Wheatley, B.B., D.A. Morrow, G.M. Odegard, K.R. Kaufman, T.L. Haut Donahue, “Skeletal muscle tensile strain dependence: hyperviscoelastic nonlinearity”, Journal of the Mechanical Behavior of Biomedical Materials, Vol. 53, pp. 445-454 (2016) Read More
  • J.M. Tomasi, I.D. Helman, W.A. Pisani, D.R. Klimek-McDonald, S. Chinkanjanarot, I. Miskioglu, J.A. King, G.M. Odegard, “Accelerated hydrothermal aging of cycloaliphatic epoxy/graphene nanoparticle composites”, Polymer Degradation and Stability, Vol. 133, pp. 131-135 (2016) Read More
  • Wheatley, B.B., G.M. Odegard, K.R. Kaufman, T.L. Haut Donahue, “How does tissue preparation affect skeletal muscle transverse isotropy?”, Journal of Biomechanics, Vol. 49, no. 13, pp. 3056-3060 (2016) Read More
  • Hadden, C.M., D.R. Klimek-McDonald, E.J. Pineda, J.A. King, A.M. Reichanadter, I. Miskioglu, S. Gowtham, G.M. Odegard, “Mechanical Properties of Graphene Nanoplatelet/Carbon Fiber/Epoxy Hybrid Composites: Multiscale Modeling and Experiments”, Carbon, Vol. 95, 100-112 (2015) Read More
  • Jensen, B.D., K.E. Wise, G.M. Odegard, “The Sensitivity of ReaxFF Simulations to Tensile Failure of Diamond, Graphene, and Carbon Nanotube to Simulation Parameters”, Journal of Computational Chemistry, Vol. 36, no. 21, pp. 1587-1596 (2015) Read More