A5017064487- Numerical methods in engineering
- Geotechnical Engineering and Underground Structures
- Electromagnetic Simulation and Numerical Methods
- Advanced Numerical Analysis Techniques
- Advanced Numerical Methods in Computational Mathematics
- Rock Mechanics and Modeling
- High-Velocity Impact and Material Behavior
- Fluid Dynamics Simulations and Interactions
- Reservoir Engineering and Simulation Methods
- Geological Modeling and Analysis
- Enhanced Oil Recovery Techniques
- Composite Structure Analysis and Optimization
- Non-Destructive Testing Techniques
- Irrigation Practices and Water Management
- Mechanical Behavior of Composites
- Hydrocarbon exploration and reservoir analysis
- Hydraulic flow and structures
- Fatigue and fracture mechanics
- Geotechnical Engineering and Analysis
- Computer Graphics and Visualization Techniques
- Tunneling and Rock Mechanics
- Landslides and related hazards
- Structural Response to Dynamic Loads
- Metal Forming Simulation Techniques
- Metallurgy and Material Forming
Brown University
2020-2024
The University of Texas at Austin
2017-2020
Sandia National Laboratories California
2020
Sandia National Laboratories
2020
We present a novel formulation based on an immersed coupling of Isogeometric Analysis (IGA) and Peridynamics (PD) for the simulation fluid-structure interaction (FSI) phenomena air blast. aim to develop practical computational framework that is capable capturing mechanics blast coupled solids structures undergo large, inelastic deformations with extreme damage fragmentation. An technique used, which involves priori monolithic FSI implicit detection interface without limitations solid domain...
Abstract We present a novel formulation for the immersed coupling of isogeometric analysis and peridynamics simulation fluid–structure interaction (FSI). focus on air-blast FSI address computational challenges methods in fracture fragmentation by developing weakly volume-coupled means simple penalty approach. show mathematical several numerical examples inelastic ductile brittle solids under blast loading that clearly demonstrate power robustness proposed methodology.
A stabilized Isogeometric formulation of compressible flows is coupled to a large-deformation inelastic solid with an M7 Microplane constitutive model concrete failure discretized in the framework correspondence-based Peridynamics bond-associated stabilization. The fluid–structure interaction (FSI) coupling makes use simple volumetric penalty technique that enables effective handling fracture and fragmentation. capabilities FSI presented are demonstrated, 3D, for point-charge detonation on...
Summary In this paper, we lay out a variational framework for correspondence‐based peridynamic (PD) formulations of solid mechanics. Using the framework, address numerical instabilities original version PD by developing natural stabilization technique that avoids costly bond‐associated approaches and retains structure method with nodal integration. Accuracy, robustness, efficiency proposed naturally stabilized are demonstrated on several computational test cases ranging from linear...
This paper investigates the influence of concrete/gypsum bedding layers and their orientation angles on tensile failure mechanism in three-point bending test based experiments numerical simulations. Rectangular samples containing different combinations concrete gypsum were prepared, i.e. one layer concrete, two concrete. In each configuration, varied between 0° 90° with increment 30°. A total 36 specimens including 12 configurations prepared tested. addition, simulations conducted at 0°,...
The pertrubation decay technique has been recently applied to probe granular material dynamic response under high-rate shear deformations. A vast majority of the simulations this experiment, however, only considered bulk materials and neglected grain-scale phenomena such as grain-to-grain contact friction, well fracture. Mesoscale modeling can be used address these shortcomings. We utilize a peridynamic framework explicitly model each individual particle between them, in addition considering...
Simulation of large-scale and complicated reservoirs requires a large number gridblocks, which consumes considerable amount memory is computationally expensive. One solution to remedy the computational problem take advantage clusters CPUs high-performance computing widely available nowadays. We can run simulations faster more efficiently by using parallel processing on these clusters. In this study, we developed version an in-house comprehensive chemical flooding reservoir simulator called...
Simulation of large-scale and complicated reservoirs requires a large number gridblocks, which consumes considerable amount memory is computationally expensive. One solution to remedy the computational problem take advantage clusters CPUs high-performance computing widely available nowadays. We can run simulations faster more efficiently by using parallel processing on these clusters. In this study, we developed version an in-house comprehensive chemical flooding reservoir simulator called...