Numerical simulation of the shallow marine target Wetumpka impact crater (Alabama, USA)
coming soon
CV
Education
- Ph.D in Mechanical Engineering, California Institute of Technology, 2016
- M.S. in Mechanical Engineering, California Institute of Technology, 2012
- B.Tech. in Mechanical Engineering, Indian Institute of Technology Kanpur, 2011
Work experience
- Scientist, Los Alamos National Laboratories (Aug 2024 - present)
- Associate Professor in Aerospace Engineering, Auburn University (Aug 2024)
- Assistant Professor in Aerospace Engineering, Auburn University (Jan 2017 - Aug 2024)
- Adjunct Professor in Geosciences, Auburn University (Jan 2017 - Aug 2024)
- Postdoctoral Scholar, California Institute of Technology and Jet Propulsion Laboratory (Jun 2016 - Dec 2016)
Research Interests
- Multiscale mechanics of materials
- Novel computational schemes for modeling material behavior
- Machine learning methods in mechanics and multiphysics behavior of materials
- Impact cratering and geosciences
Awards and Honors
- NSF Faculty Early Career Development Program (CAREER) Award, 2024.
- Junior Research Award for Excellence, Auburn University Samuel Ginn College of Engineering, 2024.
- Summer Undergraduate Research Grant Exchange (SURGE) fellow, Indian Institute of Technology, Kanpur 2010.
- Academic Excellence Award, Indian Institute of Technology Kanpur, 2008-09.
Service and leadership
- Guest editor, Focus issue on
Novel Computational Approaches for Bridging Length and Time scales: Addressing Challenges in Modeling Processes, Characterization, and Performance of Metals and Alloys
in Modeling and Simulation in Materials Science and Engineering. - Committee member, Early Career Professionals Committee, The Minerals, Metals, and Materials Society.
- Conference mini-symposium organization.
- Committee member, Advocates & Allies group, Auburn University.
- Department representative, Diversity, Equity, and Inclusion committee, Samuel Ginn College of Engineering, Auburn University.
- Faculty mentor, Summer Science Institute, Auburn University.
Publications
Ductile fracture in functionally graded materials: Insight into crack behavior within the gradient interface
Piper K. and Agrawal V., Ductile fracture in functionally graded materials: Insight into crack behavior within the gradient interface, arXiv:2411.18642.
Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations
Perera R. and Agrawal V., Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations, Computer Methods in Applied Mechanics and Engineering, 429 (2024), 117152.
Dynamic and adaptive mesh-based graph neural network framework for simulating displacement and crack fields in phase field models
Perera R. and Agrawal V., Dynamic and adaptive mesh-based graph neural network framework for simulating displacement and crack fields in phase field models, Mechanics of Materials 186 (2023), 104789.
Transmitting multiple high-frequency phonons across length scales using the concurrent atomistic–continuum method
Davis A. and Agrawal V., Transmitting multiple high-frequency waves across length scales using the concurrent atomistic-continuum method, Computational Materials Science, 214 (2022), 111702.
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks
Perera R. and Agrawal V., A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks, Mechanics of Materials 181 (2023), 104639
Robust, strong form mechanics on an adaptive structured grid: efficiently solving variable-geometry near-singular problems with diffuse interfaces
Agrawal, V., Runnels, B. Robust, strong form mechanics on an adaptive structured grid: efficiently solving variable-geometry near-singular problems with diffuse interfaces. Computational Mechanics 72, 1009–1027 (2023).
Investigating shock wave propagation, evolution, and anisotropy using a moving window concurrent atomistic–continuum framework
Davis, A.S., Agrawal, V. Investigating shock wave propagation, evolution, and anisotropy using a moving window concurrent atomistic–continuum framework. Computational Mechanics 71, 721–743 (2023).
Graph neural networks for simulating crack coalescence and propagation in brittle materials
Perera R., Guzzeti D. and Agrawal V., Graph neural networks for emulating crack coalescence and propagation in brittle materials, Computer Methods in Applied Mechanics and Engineering, 395 (2022), 115021.
Moisture-induced changes in the mechanical behavior of 3D printed polymers
Banjo D., Agrawal V., Auad M.L. and Celestine A.N., Moisture-induced changes in the mechanical behavior of 3D printed polymers, Composites Part C, 7 (2022) 100243
Moving window techniques to model shock wave propagation using the concurrent atomistic–continuum method
Davis A., Lloyd J.T. and Agrawal V., Moving window techniques to model shock wave propagation using the concurrent atomistic-continuum method, Computer Methods in Applied Mechanics and Engineering, 389 (2022), 114360.
Block structured adaptive mesh refinement and strong form elasticity approach to phase field fracture with applications to delamination, crack branching and crack deflection
Agrawal V. and Runnels B., Block structured adaptive mesh refinement and strong form elasticity approach to phase field fracture with applications to delamination, crack branching and crack deflection, Computer Methods in Applied Mechanics and Engineering, 385 (2021), 114011.
Numerical modeling and 3D-gravity inversion of the Vargeão impact structure formed in a mixed basalt/sandstone target, Paraná Basin, Brazil
Silva L. M., Vasconcelos M. A. R., Agrawal V. and Crosta A. P., Numerical modeling and 3D-gravity inversion of the Vargeão impact structure formed in a mixed basalt/sandstone target of the Paraná Basin, Brazil, Journal of South American Earth Sciences, 110 (2021), 103396.
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images
Perera R., Guzzetti D. and Agrawal V., Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images, Computational Materials Science, 196 (2021), 110524.
Massively parallel finite difference elasticity using block-structured adaptive mesh refinement with a geometric multigrid solver
Runnels B., Agrawal V., Zhang W. and Almgren A., Massively parallel finite difference scheme elasticity problem using a block-structured adaptive mesh refinement with a geometric multigrid solver, Journal of Computational Physics, 427 (2021), 110065.
Mechanical characterization and modeling stress relaxation behavior of acrylic–polyurethane-based graft-interpenetrating polymer networks
Alizadeh N., Celestine A.N, Auad M.L. and Agrawal V., Mechanical characterization and modeling stress relaxation behavior of acrylic-polyurethane based graft-Interpenetrating Polymer Networks (IPNs), Polymer Engineering and Science 61 (2021), 1299-1309.
Experimental and numerical investigation into mechanical degradation of polymers
Celestine A.N, Agrawal V. and Runnels B., Experimental and numerical investigations into mechanical degradation of polymers, Composites Part B, 201 (2020), 108369.
One-dimensional moving window atomistic framework to model long-time shock wave propagation
Davis A. and Agrawal V., One-dimensional moving window atomistic framework to model long-time shock propagation, Computer Methods in Applied Mechanics and Engineering, 371 (2020), 113290.
High-fracture-toughness acrylic–polyurethane-based graft-interpenetrating polymer networks for transparent applications
Alizadeh N., Bade M., Minkler M., Celestine A.N., Agrawal V., Beckingham B. and Auad M., High fracture-toughness acrylic-polyurethane based graft interpenetrating polymer networks for transparent applications, Polymer International 70 (2021), 636-647
Phase field disconnections: A continuum method for disconnection-mediated grain boundary motion
Runnels B. and Agrawal V., Phase field disconnections: a continuum method for disconnection-mediated grain boundary motion, Scripta Materialia, 186 (2020), 6-10.
A new approach for phase field modeling of grain boundaries with strongly nonconvex energy
Ribot J.G., Agrawal V. and Runnels B., A new approach to phase field modeling of grain boundaries with strongly nonconvex energy, Modeling and Simulations in Materials Science and Engineering, 27 (2019), 084007.
Impact induced depolarization of ferroelectric materials
Agrawal V. and Bhattacharya K., Impact induced depolarization of ferroelectric ceramics, Journal of Mechanics and Physics of Solids, 115 (2018), 142-166.
Shock wave propagation through a model one dimensional heterogeneous medium
Agrawal V. and Bhattacharya K., Shock wave propagation in a model one-dimensional heterogeneous medium, International Journal of Solids and Structures, 51 (2014), 3604-3618.
Computer modelling of the cochlea and the cochlear implant: A review
Agrawal V. and Newbold C., Computer modeling of the cochlea and the cochlear implant: a review, Cochlear Implants International, 13 (2012), 113-123.
Talks
Understanding the effects of inter- and intra-graindislocation transport in bicrystal deformation
Conference presentation at 24th International Conference on the Science of Compression in Condensed Matter, Washington, DC
Concurrent multiscale methods for mechanics of materials problems
Invited Seminar at Algorithms For Multiphysics Models In The Post-Moore's Law Era, Los Alamos, NM
Multiscale graph neural networks for accelerating phase field fracture problems
Invited Seminar at Department of Mechanical Engineering, University of Iowa, Iowa City, IA
Concurrent multiscale approach for long-time shock simulations in MPEAs
Conference presentation at 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, Vancouver, British Columbia, Canada
Multiscale graph neural networks for phase field fracture predictions
Conference presentation at 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, Vancouver, British Columbia, Canada
Dynamic compression and characterization of FFF 17-4 PH Steel,
Conference presentation at Society of Experimental Mechanics Annual Meeting, Vancouver, Washington, USA
Studying shock propagation in high entropy alloys using concurrent multiscale approach
Conference presentation at The annual technical meeting of The Minerals, Metals, and Materials Society, Orlando, Florida, USA
Accelerating fracture simulations using graph neural networks and transfer learning
Conference presentation at 17th U. S. National Congress on Computational Mechanics, Albuquerque, New Mexico, USA
Concurrent multiscale methods for studying shock waves in materials
Invited Seminar at Institute of Materials Science, Los Alamos National Laboratory, Los Alamos, NM
Graph neural networks assisted fracture mechanics
Invited Seminar at Department of Civil Engineering, Vanderbilt University, Nashville, TN
Accelerating fracture simulations using graph neural networks and transfer learning
Conference presentation at Mach Conference, Baltimore, Maryland, USA
Graph neural networks for fracture mechanics problems
Invited Seminar at Department of Mechanical Engineering, University of Washington, Seattle, WA
Moving window concurrent atomistic continuum methods for shock propagation in crystalline materials
Conference presentation at The 10th International Conference on Multiscale Materials Modeling, Baltimore, Maryland, U.S.A
Graph neural networks for accelerating fracture mechanics problems
Invited Seminar at Institute of Materials Science, Los Alamos National Laboratory, Los Alamos, NM
Moving window methods to model long time shock propagation using concurrent atomistic continuum method
Conference presentation at 19th U.S. National Congress on Theoretical and Applied Mechanics, Austin, Texas, U.S.A
Graph neural network for emulating multiple crack propagation and coalescence in brittle materials
Conference presentation at 19th U.S. National Congress on Theoretical and Applied Mechanics, Austin, Texas, U.S.A
Machine learning assisted damage prediction and material design
Invited Seminar at Department of Mechanical and Aerospace Engineering, University of Colorado at Colorado Springs, Colorado Springs, CO
Multiscale mechanics of materials: from atoms to planets
Invited Seminar at Department of Aerospace Engineering, Indian Institute of Technology Bombay, Mumbai, India
Multiscale mechanics of materials: from atoms to planets
Invited Seminar at Department of Aerospace Engineering, Indian Institute of Sciences, Bengaluru, India
Multiscale mechanics of materials: implication towards impact craters and planetary evolution
Invited Seminar at Department of Geosciences, Indian Institute of Technology at Kanpur, Kanpur, India
Multiscale mechanics of materials: from atoms to planets
Invited Seminar at Department of Aerospace and Mechanical Engineering, University of Colorado at Colorado Springs, Colorado Springs, CO
Multiscale mechanics of materials: implication towards crater formation and planetary evolution
Invited Seminar at Department of Geosciences, University of Bahia, Bahia, Brazil
Mechanical degradation of fiber-reinforced polymer matrix composites
Invited Seminar at Department of Applied Mechanics, Indian Institute of Technology Delhi, Delhi, India
Mechanical degradation of fiber-reinforced polymer matrix composites
Invited Seminar at Department of Aerospace Engineering, Indian Institute of Technology Bombay, Mumbai, India
Mechanical degradation of fiber-reinforced polymer matrix composites
Invited Seminar at Department of Aerospace Engineering, Indian Institute of Sciences, Bengaluru, India
Continuum damage mechanics and brittle fragmentation
Invited Seminar at Department of Mechanical and Aerospace Engineering, University of Colorado at Colorado Springs, Colorado Springs, CO
Hypervelocity impact and dynamic fragmentation of brittle materials
Invited Seminar at Department of Applied Mechanics, Indian Institute of Technology Gandhinagar, Gandhinagar, India
Hypervelocity impact and dynamic fragmentation of brittle materials
Invited Seminar at Department of Applied Mechanics, Indian Institute of Technology Delhi, Delhi, India
Energy harvesting and dynamic fragmentation
Invited Seminar at Department of Civil Engineering, Carnegie Melon University, Pittsburgh, PA