ICME and Multiscale Modeling Mark Horstemeyer CAVS Chair Professor in Computational Solid Mechanics Mechanical Engineering Mississippi State University.

Slides:



Advertisements
Similar presentations
Finite element method Among the up-to-date methods of stress state analysis, the finite element method (abbreviated as FEM below, or often as FEA for analyses.
Advertisements

CHAPTER 4: FRACTURE The separation or fragmentation of a solid body into two or more parts, under the action of stresses, is called fracture. Fracture.
LECTURER5 Fracture Brittle Fracture Ductile Fracture Fatigue Fracture
3 – Fracture of Materials
MSU DMG Plasticity-Damage Theory 1.0 Bammann, D. J., Chiesa, M. L., Horstemeyer, M. F., Weingarten, L. I., "Failure in Ductile Materials Using Finite Element.
Aug 9-10, 2011 Nuclear Energy University Programs Materials: NEAMS Perspective James Peltz, Program Manager, NEAMS Crosscutting Methods and Tools.
Micro-Scale Experiments and Models for Composite Materials PhD project duration: 1. January December 2014 Project type & funding: PhD-A project,
An Experimental Study and Fatigue Damage Model for Fretting Fatigue
Phase II Total Fatigue Life (Crack Initiation + Crack Propagation) SAE FD&E Current Effort 30 October 2012 at Peoria, IL.
Engineering materials lecture #14
Incubation & Nucleation Validation Study SIPS TIM, October 22 nd 2007 Cornell and RPI.
Basic Terminology • Constitutive Relation: Stress-strain relation
Implementation of Nano-mechanics in Geotechnical Engineering Hyungrae Cho And Chung R. Song Department of Civil Engineering The University of Mississippi.
 Product design optimization Process optimization Reduced experimentation Physical system Process model Product model Product Market need Multiscale Modeling.
ICME and Multiscale Modeling
Peipei Li - Civil Engineering Shule Hou - Civil Engineering Jiaqi Qu - Civil Engineering Coupled Atomistic.
Katsuyo Thornton*, R. Edwin García✝, Larry Aagesen*
Sharif Rahman The University of Iowa Iowa City, IA January 2005 STOCHASTIC FRACTURE OF FUNCTIONALLY GRADED MATERIALS NSF Workshop on Probability.
SolidWorks Simulation. Dassault Systemes 3 – D and PLM software PLM - Product Lifecycle Management Building models on Computer Engineering Analysis and.
LMAF / EPFL J.Cugnoni, Laboratory of Applied Mechanics and Reliability: Research Activities Experimental mechanics  Static,
Deformation & damage of lead-free solder joints COST 531 Final Meeting, 17th-18th May 2007, Vienna J. Cugnoni 1, J. Botsis 1, V. Sivasubramaniam 2, J.
A Designer’s Approach for Optimizing an End-Loaded Cantilever Beam while Achieving Structural and Manufacturing Requirements Timothy M. Demers November.
Dislocations and Strengthening
Presentation Summary: Design and Optimization Group NSF/DOE/APC Workshop: The Future of Modeling in Composites Molding Processes June 9-10, 2004.
MCE 561 Computational Methods in Solid Mechanics
Crack Trajectory Prediction in Thin Shells Using FE Analysis
Multiscale Modeling: An Overview
Mechanical Properties of Metals
Reduced Degree of Freedom Predictive Methods for Control and Design of Interfaces in Nanofeatured Systems Brenner, Buongiorno-Nardelli, Zikry, Scattergood,
Design Agains Fatigue - part Fatigue Endurance Prediction Design Agains Fatigue - part Fatigue Endurance Prediction Milan Růžička
1.ICME can reduce the product development time by alleviating costly trial-and error physical design iterations (design cycles) and facilitate far more.
2007 Michell Medal Oration F-111 Structural Integrity Support Francis Rose Chief Scientist, Platforms Sciences Lab, DSTO.
Effective Inelastic Response of Polymer Composites by Direct Numerical Simulations A. Amine Benzerga Aerospace Engineering, Texas A&M University With:
Ramesh Talreja Aerospace Engineering Texas A&M University, College Station, Texas.
COMING FROM? IMDEA Materials Institute (GETAFE) Polytechnic University of Madrid Vicente Herrera Solaz 1 Javier Segurado 1,2 Javier Llorca 1,2 1 Politechnic.
A Multi-Scale Mechanics Method for Analysis of Random Concrete Microstructure David Corr Nathan Tregger Lori Graham-Brady Surendra Shah Collaborative Research:
Requires: 1. theory, 2. computations, and 3. experiments.
Accuracy of Fully Elastic vs. Elastic-Plastic Finite Element Analysis Masters of Engineering Rensselear Polytechnic Institute By Nicholas Szwaja May 17,
J. L. Bassani and V. Racherla Mechanical Engineering and Applied Mechanics V. Vitek and R. Groger Materials Science and Engineering University of Pennsylvania.
Bin Wen and Nicholas Zabaras
Mathematical modelling in the field of kites Calculation of kites strength, shape and aerodynamic coefficients  Material Science, Solid mechanics, Aerodynamics,
5/6/2002, Monday Summary: What we learned from this course?
Multiscale modeling of materials or the importance of multidisciplinary dialogue Rémi Dingreville NYU-Poly Research Showcase Collaborative Opportunities.
Applied mechanics of solids A.F. Bower.
Introduction to Materials Science, Chapter 7, Dislocations and strengthening mechanisms University of Virginia, Dept. of Materials Science and Engineering.
Computational Aspects of Multi-scale Modeling Ahmed Sameh, Ananth Grama Computing Research Institute Purdue University.
Stress constrained optimization using X-FEM and Level Set Description
Teaching Modules for Steel Instruction
An Extended Bridging Domain Method for Modeling Dynamic Fracture Hossein Talebi.
Machine Design I (MCE-C 203) Mechatronics Dept., Faculty of Engineering, Fayoum University Dr. Ahmed Salah Abou Taleb Lecturer, Mechanical Engineering.
Lecture 22: The mechanism of plastic deformation, part 2
Deformation and Strengthening Mechanisms of Materials
Strengthening of Metals.
Namas Chandra and Sirish Namilae
Finite elements simulations of surface protrusion evolution due to spherical voids in the metals 2013 University of Tartu: V. Zadin A. Aabloo University.
Institute of Mechanics and Advanced Materials An Adaptive Multiscale Method for Modelling of Fracture in Polycrystalline Materials Ahmad Akbari R., Pierre.
Katsuyo Thornton1, R. Edwin García2, Larry Aagesen3
Engineering materials lecture #12
Macroscale ISV Continuum
MSU DMG Plasticity-Damage Theory 1.0
FEA Introduction.
Laser Effects on IFE Final Optics
Mechanical Properties
Atomistic simulations of contact physics Alejandro Strachan Materials Engineering PRISM, Fall 2007.
Atomistic materials simulations at The DoE NNSA/PSAAP PRISM Center
Materials: engineering, science, processing and design, 2nd edition Copyright (c)2010 Michael Ashby, Hugh Shercliff, David Cebon.
Mechanical Properties: 2
OVERVIEW OF FINITE ELEMENT METHOD
Chapter 2 Rudiment of Structural Analysis and FEM
Thin-Film Mechanics.
Presentation transcript:

ICME and Multiscale Modeling Mark Horstemeyer CAVS Chair Professor in Computational Solid Mechanics Mechanical Engineering Mississippi State University Outline 1.Introduction 2.Heirarchical Methods

Six Advantages of Employing ICME in Design 1.ICME can reduce the product development time by alleviating costly trial-and error physical design iterations (design cycles) and facilitate far more cost-effective virtual design optimization. 2.ICME can reduce product costs through innovations in material, product, and process designs. 3.ICME can reduce the number of costly large systems scale experiments. 4.ICME can increase product quality and performance by providing more accurate predictions of response to design loads. 5.ICME can help develop new materials. 6.ICME can help medical practice in making diagnostic and prognostic evaluations related to the human body.

Eight Guidelines for Multiscale Bridging 1.Downscaling and upscaling: Only use the minimum required degree(s) of freedom necessary for the type of problem considered 2.Downscaling and upscaling: energy consistency between the scales 3.Downscaling and upscaling: verify the numerical model’s implementation before starting calculations 4.Downscaling: start with downscaling before upscaling to help make clear the final goal, requirements, and constraints at the highest length scale. 5.Downscaling: find the pertinent variable and associated equation(s) to be the repository of the structure-property relationship from subscale information. 6.Upscaling: find the pertinent “effect” for the next higher scale by applying ANOVA methods 7.Upscaling: validate the “effect” by an experiment before using it in the next higher length scale. 8.Upscaling: Quantify the uncertainty (error) bands (upper and lower values) of the particular “effect” before using it in the next higher length scale and then use those limits to help determine the “effects” at the next higher level scale.

Multiscale Modeling Disciplines Solid Mechanics: Hierarchical Numerical Methods: Concurrent Materials Science: Hierarchical Physics: Hierarchical Mathematics: Hierarchical and Concurrent continuum electrons atoms dislocations grains Concurrent retain only the minimal amount of information Hierarchical

Macroscale ISV Continuum Bridge 1 = Interfacial Energy, Elasticity Atomistics (EAM,MEAM,MD,MS, Nm Bridge 2 = Mobility Bridge 3 = Hardening Rules Bridge 4 = Particle Interactions Bridge 5 = Particle- Void Interactions Bridge 12 = FEA ISV Bridge 13 = FEA Dislocation Dynamics (Micro-3D) 100’s Nm Electronics Principles (DFT) Å Crystal Plasticity (ISV + FEA) µm Crystal Plasticity (ISV + FEA) µm Crystal Plasticity (ISV + FEA) µm Bridge 6 = Elastic Moduli Bridge 7 = High Rate Mechanisms Bridge 8 = Dislocation Motion Bridge 9 = Void \ Crack Nucleation Bridge 10 = Void \ Crack Growth Macroscale ISV Continuum Bridge 11 = void-crack interactions

IVS Model Void Growth Void/Void Coalescence Void/Particle Coalescence Fem Analysis Idealized Geometry Realistic RVE Geometry Monotonic/Cyclic Loads Crystal Plasticity Experiment Fracture of Silicon Growth of Holes Experiment Uniaxial/torsion Notch Tensile Fatigue Crack Growth Cyclic Plasticity FEM Analysis Torsion/Comp Tension Monotonic/Cyclic Continuum Model Cyclic Plasticity Damage Structural Scale Experiments FEM Model Cohesive Energy Critical Stress Analysis Fracture Interface Debonding Nanoscale Experiment SEM Optical methods ISV Model Void Nucleation FEM Analysis Idealized Geometry Realistic Geometry Microscale Mesoscale Macroscale ISV Model Void Growth Void/Crack Nucleation Experiment TEM Multiscale Experiments 1. Exploratory exps 2. Model correlation exps 3. Model validation exps

Optimal Product Process Environment (loads, boundary conditions) Product (material, shape, topology) Process (method, settings, tooling) Design Options Cost Analysis Modeling FEM Analysis Experiment Multiscales Analysis Product & Process Performance (strength, reliability, weight, cost, manufactur- ability ) Design Objective & Constraints Preference & Risk Attitude Optimization under Uncertainty Design Optimization

Engineering tools (CAD, CAE, etc.) Conceptual design process (user-friendly interfaces) IT technologies (hidden from the engineer) CyberInfrastructure

macroscale continuum subscale piecewise continuous with discrete entities x y x y ^ ^