Reference Number: ARL-SRP-00075
Project Description
Research opportunities exist for modeling highly transient, coupled, multiphysical fields in solids using analytical, finite element, finite difference, peridynamic [1,2], phase field [3], discrete element, and other computational methods. Emphasis is placed on model validation with experiments, and verification with analytical solutions to transient coupled-field boundary value problems involving wave propagation, thermo-mechanical and electromagnetic fields in finitely deformed matter [4], fluid-structure interaction associated with shock, impact, dynamic fracture [5], and fragmentation phenomena. Additional research opportunities exist in the areas of machine learning, topology optimization [6], multiscale modeling of material microstructures using genetic programming and computational geometric methods [7] for use in conjunction with large-scale finite element and other computational solvers.
References:
[1] Gazonas GA, Aksoylu B, Wildman RA, “Fast Fourier transform-based solutions of initial value problems for wave propagation in microelastic media,” Journal of Mechanics of Materials and Structures, Vol. 19(1),61– 89, 2024.
[2] Aksoylu B, Gazonas GA, “On the choice of kernel function in nonlocal wave propagation,” Journal of Peridynamics and Nonlocal Modeling, Vol. 2, 379–400, 2020.
[3] Chua J, Agrawal V, Breitzman T, Gazonas GA, Dayal K, “Phase-field modeling and peridynamics for defect dynamics, and an augmented phase-field model with viscous stresses,” Journal of the Mechanics and Physics of Solids Vol. 159, 2022.
[4] Weile DS, Hopkins DA, Gazonas GA, Powers BM, “On the proper formulation of Maxwellian electrodynamics for continuum mechanics,” Continuum Mechanics and Thermodynamics, Vol. 26, Issue: 3, 387–401, 2014.
[5] Zhang G, Gazonas GA, Bobaru F, “Supershear damage propagation and sub-Rayleigh crack growth from edge-on impact: a peridynamic analysis,” International Journal of Impact Engineering, Vol. 113, 73–87, 2018.
[6] Gaynor AT, Johnson TE, “Eliminating occluded voids in additive manufacturing design via a projection-based topology optimization scheme,” Additive Manufacturing, Vol. 33, 101149, 2020.
[7] Wildman RA, Gazonas GA, “Multiobjective topology optimization of energy absorbing materials,” Structural and Multidisciplinary Optimization, Vol. 51, 125–143, 2015.
Technical Skills
- Computer Modeling/Simulation
- Materials Engineering
- Mechanical Engineering
- Mathematics
- Physics
- Python and/or C/C++
- Ability to use terminal-user-interfaces to access HPCs
