An Extended Bridging Domain Method for Modeling Dynamic Fracture Hossein Talebi.

Slides:



Advertisements
Similar presentations
Time averages and ensemble averages
Advertisements

Continuum Simulation Monday, 9/30/2002. Class Progress Visualization: abstract concept (stress,2D, 3D), mechanical field Stochastic simulations: random.
Simulazione di Biomolecole: metodi e applicazioni giorgio colombo
Statistical mechanics
Molecular dynamics in different ensembles
Formulation of an algorithm to implement Lowe-Andersen thermostat in parallel molecular simulation package, LAMMPS Prathyusha K. R. and P. B. Sunil Kumar.
Advanced Molecular Dynamics Velocity scaling Andersen Thermostat Hamiltonian & Lagrangian Appendix A Nose-Hoover thermostat.
Vibrational Motion of Molecules. SpectroscopicPhenomena Hamiltonian PhysicalModel EigenstatesEigenvalues Dynamics Energy Construction Correspondence Testing.
Survey of Molecular Dynamics Simulations By Will Welch For Jan Kubelka CHEM 4560/5560 Fall, 2014 University of Wyoming.
An Introduction to Multiscale Modeling Scientific Computing and Numerical Analysis Seminar CAAM 699.
Coupling Continuum Model and Smoothed Particle Hydrodynamics Methods for Reactive Transport Yilin Fang, Timothy D Scheibe and Alexandre M Tartakovsky Pacific.
ICME and Multiscale Modeling
Peipei Li - Civil Engineering Shule Hou - Civil Engineering Jiaqi Qu - Civil Engineering Coupled Atomistic.
J.Cugnoni, LMAF-EPFL,  Stress based criteria (like Von Mises) usually define the onset of “damage” initiation in the material  Once critical stress.
Graph problems Partition: min cut Clustering bioinformatics Image segmentation VLSI placement Routing Linear arrangement: bandwidth, cutwidth Graph drawing.
Basic FEA Concepts. FEA Project Outline Consider the physics of the situation. Devise a mathematical model. Obtain approximate results for subsequent.
FEA Simulations Usually based on energy minimum or virtual work Component of interest is divided into small parts – 1D elements for beam or truss structures.
Application of Asymptotic Expansion Homogenization to Atomic Scale N Chandra and S Namilae Department of Mechanical Engineering FAMU-FSU College of Engineering.
Two Approaches to Multiphysics Modeling Sun, Yongqi FAU Erlangen-Nürnberg.
Fracture and Fragmentation of Thin-Shells Fehmi Cirak Michael Ortiz, Anna Pandolfi California Institute of Technology.
Computational Fracture Mechanics
Joo Chul Yoon with Prof. Scott T. Dunham Electrical Engineering University of Washington Molecular Dynamics Simulations.
MULTI-SCALE STRUCTURAL SIMULATIONS LABORATORY Computation of Spatial Kernel of Carbon Nanotubes in Non-Local Elasticity Theory Veera Sundararaghavan Assistant.
MCE 561 Computational Methods in Solid Mechanics
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
Introduction to virtual engineering László Horváth Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering.
Reduced Degree of Freedom Predictive Methods for Control and Design of Interfaces in Nanofeatured Systems Brenner, Buongiorno-Nardelli, Zikry, Scattergood,
Department of Aerospace and Mechanical Engineering A one-field discontinuous Galerkin formulation of non-linear Kirchhoff-Love shells Ludovic Noels Computational.
Algorithms and Software for Large-Scale Simulation of Reactive Systems _______________________________ Ananth Grama Coordinated Systems Lab Purdue University.
Javier Junquera Molecular dynamics in the microcanonical (NVE) ensemble: the Verlet algorithm.
Molecular Dynamics Simulation Solid-Liquid Phase Diagram of Argon ZCE 111 Computational Physics Semester Project by Gan Sik Hong (105513) Hwang Hsien Shiung.
Nano Mechanics and Materials: Theory, Multiscale Methods and Applications by Wing Kam Liu, Eduard G. Karpov, Harold S. Park.
Haptics and Virtual Reality
J. L. Bassani and V. Racherla Mechanical Engineering and Applied Mechanics V. Vitek and R. Groger Materials Science and Engineering University of Pennsylvania.
The Finite Element Method A Practical Course
Dissipative Particle Dynamics. Molecular Dynamics, why slow? MD solves Newton’s equations of motion for atoms/molecules: Why MD is slow?
Molecular simulation methods Ab-initio methods (Few approximations but slow) DFT CPMD Electron and nuclei treated explicitly. Classical atomistic methods.
FLUID PROPERTIES Independent variables SCALARS VECTORS TENSORS.
Advanced Molecular Dynamics Velocity scaling Andersen Thermostat Hamiltonian & Lagrangian Appendix A Nose-Hoover thermostat.
Computational Aspects of Multi-scale Modeling Ahmed Sameh, Ananth Grama Computing Research Institute Purdue University.
Mechanics of defects in Carbon nanotubes S Namilae, C Shet and N Chandra.
9/24/2014PHY 711 Fall Lecture 131 PHY 711 Classical Mechanics and Mathematical Methods 10-10:50 AM MWF Olin 103 Plan for Lecture 13: Finish reading.
ICME and Multiscale Modeling Mark Horstemeyer CAVS Chair Professor in Computational Solid Mechanics Mechanical Engineering Mississippi State University.
Molecular Modelling - Lecture 2 Techniques for Conformational Sampling Uses CHARMM force field Written in C++
Finite Element Methods and Crack Growth Simulations Materials Simulations Physics 681, Spring 1999 David (Chuin-Shan) Chen Postdoc, Cornell Fracture Group.
ChE 452 Lecture 25 Non-linear Collisions 1. Background: Collision Theory Key equation Method Use molecular dynamics to simulate the collisions Integrate.
Chapter 9: Molecular-dynamics Integrate equations of motion-- classical! Discrete form of Newton’s second law Forces from interaction potential For a simple.
The Old Well 3/15/2003 AMS 2003 Spring Southeastern Sectional Meeting 1 An adaptive method for coupled continuum-molecular simulation of crack propagation.
LAGRANGE EQUATION x i : Generalized coordinate Q i : Generalized force i=1,2,....,n In a mechanical system, Lagrange parameter L is called as the difference.
Lecture 20: The mechanism of plastic deformation PHYS 430/603 material Laszlo Takacs UMBC Department of Physics.
Molecular dynamics (2) Langevin dynamics NVT and NPT ensembles
Classical Chaos in Geometric Collective Model Pavel Stránský, Pavel Cejnar, Matúš Kurian Institute of Particle and Nuclear Phycics Faculty of Mathematics.
Nano Mechanics and Materials: Theory, Multiscale Methods and Applications by Wing Kam Liu, Eduard G. Karpov, Harold S. Park.
Molecular dynamics (3) Equations of motion for (semi) rigid molecules. Restrained MD.
Advanced Computer Graphics Spring 2014 K. H. Ko School of Mechatronics Gwangju Institute of Science and Technology.
Namas Chandra and Sirish Namilae
Institute of Mechanics and Advanced Materials An Adaptive Multiscale Method for Modelling of Fracture in Polycrystalline Materials Ahmad Akbari R., Pierre.
Hierarchical Theoretical Methods for Understanding and Predicting Anisotropic Thermal Transport and Energy Release in Rocket Propellant Formulations Michael.
Overview of Molecular Dynamics Simulation Theory
Maintaining Adiabaticity in Car-Parrinello Molecular Dynamics
Atomistic simulations of contact physics Alejandro Strachan Materials Engineering PRISM, Fall 2007.
Atomistic materials simulations at The DoE NNSA/PSAAP PRISM Center
Algorithms and Software for Large-Scale Simulation of Reactive Systems
Chapter 9: Molecular-dynamics
Continuous Systems and Fields
Algorithms and Software for Large-Scale Simulation of Reactive Systems
FLUID MECHANICS - Review
Car Parrinello Molecular Dynamics
What are Multiscale Methods?
Continuum Simulation Monday, 9/30/2002.
Presentation transcript:

An Extended Bridging Domain Method for Modeling Dynamic Fracture Hossein Talebi

Outline  Introduction  Multiscale Modeling of Fracture  The Bridging Domain Method  Governing Equations  Implementation Aspects  Numerical Example  Future Challenges

Multiscale Modeling of Fracture

 The global response of the system is often governed by the behavior at the smaller length scales(eg. shear bands).  A more fundamental understanding on the phenomenon ‘material failure’.  Subscale behavior must be computed accurately for good predictions of the full scale behavior.  The most accurate and versatile method of modeling material failure is with Molecular dynamics.  Often, with the current computer capacity, one can model a very tiny fraction of the material and that comes with high costs.  Therefore it makes sense to model only the hotspots like crack tip areas and the rest with continuum models.

The bridging domain Method

Governing Equations  With FE approximation and in the continuum domain we have:  The Hamiltonian of the system will be:  The Hamiltonian of the continuum domain will be: and p is linear momentum and W is the internal energy(strain energy).

Governing Equations  In the Molecular dynamics region, the motion of particles is computed via classical MD equation of motion and a potential e.g. the Lennard-Jones potential:  The hamiltonian of the MD domain is: where is dirac delta function, M is mass of the atom and W is the potential of the bond joining atoms i and j.

The bridging Domain The key concept here is that the total Hamiltonian is a varying combination of the two Hamiltonians in the overlapping subdomain.

Governing Equations  To enforce the compatibilty between the two domains Lagrange multipliers are used.  The total Hamiltonian of the system is then:  Where lambda is the Lagrange multiplier (called interaction energy)

Governing Equations  The Lagrangian of the system is then:  The equation of motion can be obtained by: where q=[d u], ie all displacement degrees of freedom.

Semi-discrete equations

 And the corrector forces are:  P is the nominal stress and it is obtained from the Cauchy- Bond rule. For the LJ potential it is:  The Cauchy-Born rule is valid only in small deformation.

Time integration  We use the Verlet Method:

the lagrange multipliers

Implementation We need:  Continuum FEM/XFEM in 3D  MD implementation which can handle more than 1 potential (LJ and EAM minimum)  MD implementation should not be slow and naive(possibly parallel)  A proper post-processing (XFEM-MD)  Future Extensions are possible for coarsening and refinement.

Implementation Aspects Molecular Dynamics:  Q: Implement or use a library? LAMMPS? A: Library  Q: Which Molecular Dynamics library to use? A: Warp(Fortran 90)  Q: How easy is the implementation, changes, communication? :Modify Warp(Fortran2003)

Implementation Aspects Continuum:  Q: Can we use a commercial product? Eg. Abaqus A: No(limitations, commercial results!)  Q: How to do Preprocessing XFEM and finding Level-sets? A: Use Abaqus INP files  Q: How to visualize XFEM? A: Implement yourself in Tecplot

Full MD results  Potential: Aluminum(3.986) EAM  Full Region: x398.6x398.6  Uncoupled full Atomistic:  Atoms with high Centro-symmetry is shown

The Example

Example Specifications Dimensions of the whole domain are: 1000x1000x150 angestroms Crack length is 500 through the whole domain The Full atomistic domain is 365x365x150 The Lennard-Jones potential is used with sigma=2.29,epsilon=.467 and cut-off redaius of 4.0 Atomic mass is 65 g/mol active atoms, bridging atoms and ghost atoms

Atoms with high centro-symmetry value are shown. Note, atoms in the bridging region are not shown Crack and Dislocation Propagation

Atomic Stress Plot

Future challenges  Adaptive refinement of the MD region  Detection of cracks and dislocations in the MD domain  Coarse Graining of the detected cracks and dislocations to the continuum domain  Parallelization of the code to run sizes close to macroscopic scale.