Richard Regueiro
Geotechnical Engineering & Geomechanics • Engineering Science • Materials Science & Engineering

Office: ECOT 421


  • Ph.D., Civil and Environmental Engineering, Stanford University, 1998
  • S.M., Aeronautics and Astronautics, Massachusetts Institute of Technology, 1993
  • B.S.E., Civil Engineering Systems, University of Pennsylvania, 1991

Honors and Distinctions:

  • Research Development Award, Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, 2012
  • R&D 100 Award, R&D Magazine, 2000
  • Sidney Shore Award, University of Pennsylvania, 1991

Professional Affiliations:

  • Engineering Mechanics Institute (EMI)


  • Computational multiscale mechanics for porous and particulate materials.
  • Mechanics of single phase (dry) and multiphase (partially-saturated and saturated, multi-constituent) porous materials, such as geomaterials (soil, rock), concrete, and soft biological tissues.
  • Damaged polycrystalline metals.
  • Generalized continuum theories for multiscale modeling of inelastic deformation.
  • Applications include modeling geotechnical, geological, and structural engineering failures, high strain rate loading of polycrystalline metals and soils, and visco-poroelastic response of ocular tissues and other biological tissues.

Latest Publications:

  1. Yan, B., Regueiro, R.A. (2018) Comparison between O(n2) and O(n) neighbor search algorithm and its influence on superlinear speedup in parallel DEM for complex-shaped particles, Engineering Computations, accepted.
  2. Ma, G., Regueiro, R.A., Zhou, W., Liu, J. (2018) Spatiotemporal analysis of strain localization in dense granular materials, Acta Geotechnica, Link, in press
  3. Yan, B., Regueiro, R.A. (2018) Comparison between pure MPI and hybrid MPI-OpenMP parallelism for 3D Discrete Element Method (DEM) of ellipsoidal and poly-ellipsoidal particles, Computational Particle Mechanics 5(4):553-577.
  4. Yan, B., Regueiro, R.A. (2018) Superlinear speedup phenomenon in parallel 3D Discrete Element Method (DEM) simulations of complex-shaped particles, Parallel Computing 75:61-87.
  5. Yan, B., Regueiro, R.A. (2018) Large-scale dynamic and static simulations of complex-shaped granular materials using parallel three-dimensional Discrete Element Method (DEM) on DoD supercomputers, Engineering Computations 35(2):1049-1084.
  6. Amirrahmat, S., Alshibli, K., Jarrar, M., Zhang, B., Regueiro, R.A. (2018) Equivalent continuum strain calculations based on 3D particle kinematic measurements of sand, International Journal for Numerical and Analytical Methods in Geomechanics 42(8):999-1015.
  7. Ma, G., Regueiro, R.A., Zhou, W., Wang, Q., Liu, J. (2018) Role of particle crushing on particle kinematics and shear banding in granular materials, Acta Geotechnica 13(3):601-618.
  8. Zhang, B., Regueiro, R.A., Druckrey, A.M., Alshibli, K. (2018) Construction of poly-ellipsoidal grain shapes from SMT imaging on sand, and the development of a new DEM contact detection algorithm, Eng. Comput. 35(2):733-771.
  9. Fankell, D.P., Regueiro, R.A., Kramer, E.A., Ferguson, V.L., Rentschler, M.E. (2017)  A small deformation thermo-poromechanics finite element model and its application to arterial tissue fusion, ASME J. Biomech. Eng. 140(3):01.
  10. Isbuga, V., Regueiro, R.A. (2017) Finite element analysis of finite strain micromorphic Drucker-Prager plasticity, Computers and Structures, 193:31-43.