ORAU
Computational Modeling of Coupled Multiphysical Fields in Solids
ORAU, Baltimore, Maryland, United States
Computational Modeling of Coupled Multiphysical Fields in Solids
Description : Research opportunities exist for modeling highly transient, coupled, multiphysical fields in solids using analytical, finite element, finite difference, peridynamic, phase field, 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, fluid-structure interaction associated with shock, impact, dynamic fracture, and fragmentation phenomena. Additional research opportunities exist in the areas of machine learning, topology optimization, multiscale modeling of material microstructures using genetic programming and computational geometric methods for use in conjunction with large-scale finite element and other computational solvers. Organization : DEVCOM Army Research Laboratory Reference Code : ARL-R-SEM-400028-F1 References: 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. 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. 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. 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. 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. Gaynor AT, Johnson TE, “Eliminating occluded voids in additive manufacturing design via a projection-based topology optimization scheme,” Additive Manufacturing, Vol. 33, 101149, 2020. Wildman RA, Gazonas GA, “Multiobjective topology optimization of energy absorbing materials,” Structural and Multidisciplinary Optimization, Vol. 51, 125–143, 2015. A complete application includes : Curriculum Vitae or Resume Three References Forms Transcripts Qualifications : Proficiency in programming languages commonly used in high-performance computing, such as Python, C++, Fortran, et cetera. Familiarity with software development tools, version control systems, and high-performance computing simulation environments. Familiarity with the FEniCS or other open-source computing platforms for solving partial differential equations (PDEs) with the finite element method (FEM). Strong mathematical and analytical skills, including linear algebra, calculus, continuum mechanics, thermodynamics, finite element, peridynamic, phase-field or discrete element modeling, fracture mechanics. Effective written and verbal communication skills for documenting and presenting research findings. Collaboration and teamwork skills, as you may work with a team of researchers or engineers. Eligibility Requirements : Citizenship: U.S. Citizen Only Degree: Master's Degree or Doctoral Degree. Academic Level(s): Master’s Degree (Journeyman Fellow), Master’s Degree 7+ years (Senior Fellow), Doctoral Degree (Postdoctoral Fellow), Doctoral Degree 5+ years (Senior Fellow), or Faculty. Discipline(s): Chemistry and Materials Sciences, Computer, Information, and Data Sciences, Earth and Geosciences, Engineering, Mathematics and Statistics, Physics, Science & Engineering-related.
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Description : Research opportunities exist for modeling highly transient, coupled, multiphysical fields in solids using analytical, finite element, finite difference, peridynamic, phase field, 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, fluid-structure interaction associated with shock, impact, dynamic fracture, and fragmentation phenomena. Additional research opportunities exist in the areas of machine learning, topology optimization, multiscale modeling of material microstructures using genetic programming and computational geometric methods for use in conjunction with large-scale finite element and other computational solvers. Organization : DEVCOM Army Research Laboratory Reference Code : ARL-R-SEM-400028-F1 References: 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. 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. 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. 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. 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. Gaynor AT, Johnson TE, “Eliminating occluded voids in additive manufacturing design via a projection-based topology optimization scheme,” Additive Manufacturing, Vol. 33, 101149, 2020. Wildman RA, Gazonas GA, “Multiobjective topology optimization of energy absorbing materials,” Structural and Multidisciplinary Optimization, Vol. 51, 125–143, 2015. A complete application includes : Curriculum Vitae or Resume Three References Forms Transcripts Qualifications : Proficiency in programming languages commonly used in high-performance computing, such as Python, C++, Fortran, et cetera. Familiarity with software development tools, version control systems, and high-performance computing simulation environments. Familiarity with the FEniCS or other open-source computing platforms for solving partial differential equations (PDEs) with the finite element method (FEM). Strong mathematical and analytical skills, including linear algebra, calculus, continuum mechanics, thermodynamics, finite element, peridynamic, phase-field or discrete element modeling, fracture mechanics. Effective written and verbal communication skills for documenting and presenting research findings. Collaboration and teamwork skills, as you may work with a team of researchers or engineers. Eligibility Requirements : Citizenship: U.S. Citizen Only Degree: Master's Degree or Doctoral Degree. Academic Level(s): Master’s Degree (Journeyman Fellow), Master’s Degree 7+ years (Senior Fellow), Doctoral Degree (Postdoctoral Fellow), Doctoral Degree 5+ years (Senior Fellow), or Faculty. Discipline(s): Chemistry and Materials Sciences, Computer, Information, and Data Sciences, Earth and Geosciences, Engineering, Mathematics and Statistics, Physics, Science & Engineering-related.
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