One Team: Relevant... Ready... Responsive... Reliable Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 24 January 2007.

Slides:



Advertisements
Similar presentations
Transfer coefficient algorithm for small mass nodes in material point method Xia Ma, Balaji Jayaraman, Paul T. Giguere and Duan Z. Zhang CartaBlanca Team.
Advertisements

Emerging Technologies for FETCH2 Jeff Gomes Applied Modelling and Computation Group (AMCG) Severe Accident Subproject Meeting 14/11/2011.
Hongjie Zhang Purge gas flow impact on tritium permeation Integrated simulation on tritium permeation in the solid breeder unit FNST, August 18-20, 2009.
Aug 9-10, 2011 Nuclear Energy University Programs Materials: NEAMS Perspective James Peltz, Program Manager, NEAMS Crosscutting Methods and Tools.
A Computational Framework for Simulating Flow around Hypersonic Re-Entry Vehicles David Stroh, Anthony Marshik and Gautham Krishnamoorthy, UND Chemical.
DHI-NTU CENTRE A Member of the NEWRI Ecosystem DHI-NTU Centre For more information Tel (65) Fax:
Crashworthiness and High Strain Rate Material Testing Test Development for Vehicle Crash Conditions Motivation: The current vehicle design approaches result.
STABILITY ANALYSIS IN PRESENCE OF WATER Pore pressures Rainfall Steady state flow and transient flow.
Overview and background
Reliability Prediction of a Return Thermal Expansion Joint O. Habahbeh*, D. Aidun**, P. Marzocca** * Mechatronics Engineering Dept., University of Jordan,
Results It was found that variations in wettability disturb the flow of adjacent liquid (Fig. 3). Our results suggest that for a given liquid the normal.
Coupling Continuum Model and Smoothed Particle Hydrodynamics Methods for Reactive Transport Yilin Fang, Timothy D Scheibe and Alexandre M Tartakovsky Pacific.
Peyman Mostaghimi, Prof. Martin Blunt, Dr. Branko Bijeljic 16 January 2009, Imperial College Consortium on Pore-Scale Modelling The level set method and.
Copyright (c) John Y. Cheung, 2002 ECE Recruiting,ppt Slide 1 What is an Electrical and Computer Engineer?
Peyman Mostaghimi, Martin Blunt, Branko Bijeljic 11 th January 2010, Pore-scale project meeting Direct Numerical Simulation of Transport Phenomena on Pore-space.
Fluid Mechanics –For Civil Engineers is all about SMU Storing– Moving– Using ( Incompressible fluids - water) To design and manage these systems we need.
Brookhaven Science Associates U.S. Department of Energy Muon Collider/Neutrino Factory Collaboration Meeting May 26 – 28, CERN, Geneva Target Simulations.
1 MECH 221 FLUID MECHANICS (Fall 06/07) Tutorial 6 FLUID KINETMATICS.
Two Approaches to Multiphysics Modeling Sun, Yongqi FAU Erlangen-Nürnberg.
Engineering Mechanics Group Faculty of Aerospace Engineering Minor Programme 2 Aerospace Analysis and Development.
Modeling and simulation of deformable porous media Jan Martin Nordbotten Department of Mathematics, University of Bergen, Norway Department of Civil and.
COMPUTATIONAL MODELING FOR ENGINEERING MECN 6040 Professor: Dr. Omar E. Meza Castillo Department.
Instructor: André Bakker
Density-Dependent Flows Primary source: User’s Guide to SEAWAT: A Computer Program for Simulation of Three-Dimensional Variable-Density Ground- Water Flow.
Solute (and Suspension) Transport in Porous Media
Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras Advanced Transport Phenomena Module 2 Lecture 4 Conservation Principles: Mass Conservation.
Cactus Computational Frameowork Freely available, modular, environment for collaboratively developing parallel, high- performance multi-dimensional simulations.
S.S. Yang and J.K. Lee FEMLAB and its applications POSTEC H Plasma Application Modeling Lab. Oct. 25, 2005.
Version, Date, POC Name 1 Purpose: To investigate multiscale flow discretizations that represent both the geometry and solution variable using variable-order.
James Sprittles BAMC 2007 Viscous Flow Over a Chemically Patterned Surface J.E Sprittles Y.D. Shikhmurzaev.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review April , 2004, LBNL Target Simulation Roman Samulyak, in collaboration with.
Computational Fluid Dynamics - Fall 2003 The syllabus Term project CFD references (Text books and papers) Course Tools Course Web Site:
A PPLIED M ECHANICS Lecture 01 Slovak University of Technology Faculty of Material Science and Technology in Trnava.
Upscaling of two-phase flow processes in CO 2 geological storage Orlando Silva (1), Insa Neuweiler 2), Marco Dentz (3,4), Jesús Carrera (3,4) and Maarten.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review January 14-15, 2003, FNAL Target Simulations Roman Samulyak Center for Data Intensive.
Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 17 April 2008 Dr. Chris Kees and Dr. Matthew Farthing Coastal and Hydraulics.
Strategies for Solving Large-Scale Optimization Problems Judith Hill Sandia National Laboratories October 23, 2007 Modeling and High-Performance Computing.
1 FUNDAMENTAL PRINCIPALS OF In Situ THERMAL TREATMENT Professor Kent S. Udell Department of Mechanical Engineering Department of Civil and Environmental.
Materials Process Design and Control Laboratory MULTISCALE MODELING OF ALLOY SOLIDIFICATION LIJIAN TAN NICHOLAS ZABARAS Date: 24 July 2007 Sibley School.
An Adaptive-Stochastic Boussinesq Solver With Safety Critical Applications In Nuclear Reactor Engineering Andrew Hagues PhD Student – KNOO Work Package.
Cavitation Models Roman Samulyak, Yarema Prykarpatskyy Center for Data Intensive Computing Brookhaven National Laboratory U.S. Department of Energy
1 Modeling and Simulation International Technology Roadmap for Semiconductors, 2004 Update Ashwini Ujjinamatada Course: CMPE 640 Date: December 05, 2005.
Laboratory of Molecular Simulations of Nano- and Bio-Materials Venkat Ganesan “Where molecules and models meet applications” Computations Fluid Mechanics.
Purpose: To provide a multi-scale theoretical and computational model of variably saturated granular/porous media that will improve our ability to perform.
Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota.
US Army Corps of Engineers Engineer Research and Development Center Navigation R&D High Fidelity Vessel Effects PI: Chris Kees and Matthew FarthingJanuary.
V. 1.0, 3/15/10, Howington 1 Purpose: Improve understanding of the processes controlling threat detection by chemical sensors in complex surface and subsurface.
Governing Equations Conservation of Mass Conservation of Momentum Velocity Stress tensor Force Pressure Surface normal Computation Flowsheet Grid values.
COMPUTATIONAL FLUID DYNAMICS (AE 2402) Presented by IRISH ANGELIN S AP/AERO.
Unresolved experimental dilemmas Dissipative particle dynamics Theoretical challenges (NATO ASI) Constitutive relations – applications to complex flows.
1 IV European Conference of Computational Mechanics Hrvoje Gotovac, Veljko Srzić, Tonći Radelja, Vedrana Kozulić Hrvoje Gotovac, Veljko Srzić, Tonći Radelja,
One Team: Relevant... Ready... Responsive... Reliable Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 20 September.
Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 25 September 2008 Dr. Chris Kees and Dr. Matthew Farthing Coastal and.
Conference on PDE Methods in Applied Mathematics and Image Processing, Sunny Beach, Bulgaria, 2004 NUMERICAL APPROACH IN SOLVING THE PDE FOR PARTICULAR.
© Yilmaz “Introduction to Discrete-Event Simulation” 1 Introduction to Discrete-Event Simulation Dr. Levent Yilmaz M&SNet: Auburn M&S Laboratory.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review April , 2004, BNL Target Simulations Roman Samulyak in collaboration with Y.
CAD and Finite Element Analysis Most ME CAD applications require a FEA in one or more areas: –Stress Analysis –Thermal Analysis –Structural Dynamics –Computational.
Computational Fluid Dynamics - Fall 2007 The syllabus CFD references (Text books and papers) Course Tools Course Web Site:
An Introduction to Computational Fluids Dynamics Prapared by: Chudasama Gulambhai H ( ) Azhar Damani ( ) Dave Aman ( )
서울대학교 차세대 기계항공시스템 창의설계 인력양성사업단 기계항공공학부 차세대 기계항공시스템 창의설계 인력양성사업단 1. 연 사 : Prof. Peter M. Pinsky Department of Mechanical Engineering, Stanford University,
Materials Process Design and Control Laboratory MULTISCALE COMPUTATIONAL MODELING OF ALLOY SOLIDIFICATION PROCESSES Materials Process Design and Control.
September, Modeling of LHP Temperature Control in EcosimPro F.Romera, R.Pérez, C.Gregori, E.Turrion, D.Mishkinis, A. Torres.
7. Air Quality Modeling Laboratory: individual processes Field: system observations Numerical Models: Enable description of complex, interacting, often.
Objectives of the Presentation
Modeling and experimental study of coupled porous/channel flow
Integrated Modeling Approach and Plans
What is the future of applied mathematics? Chris Budd.
Numerical Simulation of Immiscible Multiphase Flows Using
Multiscale Modeling of Flood-Induced Surface Erosion in a Particle Bed
Anthony D. Fick & Dr. Ali Borhan Governing Equations
Presentation transcript:

One Team: Relevant... Ready... Responsive... Reliable Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 24 January 2007 PI’s name and Laboratory Dr. Chris Kees Coastal and Hydraulics Laboratory

One Team: Relevant... Ready... Responsive... Reliable We don’t understand the macroscopic structural, hydraulic, thermal, electromagnetic, and chemical properties of variably saturated soils. These properties affect our ability to detect subsurface targets and features, build structures, and predict chemical species transport in soils. Problem/Relevance

One Team: Relevant... Ready... Responsive... Reliable Work Unit Objective To develop a multi-scale theoretical and computational model of variably saturated granular/porous media that will improve our ability to perform engineering-scale analyses.

One Team: Relevant... Ready... Responsive... Reliable Formulate mass, momentum, and energy balances (partial differential equations with constraints) and thermodynamic constraints for the particle-scale and macro-scale system. Implement numerical solutions using hybrid continuum/particle methods. Formulate a multi-scale theory and implement numerical multi-scale and up- scaling techniques. Approach

One Team: Relevant... Ready... Responsive... Reliable FY07 $227 –Mostly in house this year –Small BAA in place with NCSU FY08 $249K FY09 $250K Funding

One Team: Relevant... Ready... Responsive... Reliable Milestones EXAMPLE 1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q Initial particle-scale theoretical framework Development of two-phase microscale simulation capability Dynamic three-phase theoretical framework Paper on two-phase flow Paper on multiscale computational model Paper on multiscale three-phase theory Three-phase computational model

One Team: Relevant... Ready... Responsive... Reliable Accomplishments / Status Recruited Dr. Matthew Farthing from UNC, Chapel Hill to CHL and this project (starts Jan). Funded BAA contract with NCSU (Prof. Tim Kelley, math) to develop multilevel, multiscale solver algorithms and software (starts Jan). Visited LSU to give seminar on air/water flow in porous media and initiated collaboration on particle scale experiments. Continued work on air/water Navier-Stokes theory, model, and code suitable for front- capturing (level set) and front-capturing (moving mesh) methods and fluid/grain interaction.

One Team: Relevant... Ready... Responsive... Reliable Accomplishments / Status Two-phase flow (level-set/FEM method)

One Team: Relevant... Ready... Responsive... Reliable Accomplishments/Status Two-phase flow (level-set/FEM method)

One Team: Relevant... Ready... Responsive... Reliable Theoretical and computational frameworks for passing information between microscopic two-phase flow/particle systems to macroscopic variably saturated media. New constitutive models for macroscopic models and numerical multiscale models for macroscale engineering models. Products

One Team: Relevant... Ready... Responsive... Reliable High-fidelity vessel effects(Kees): Arbitrary Lagrangian-Eulerian mesh technology and porous structure theory/models. Countermine Phenomenology(Howington): Mesh generation capability and moisture distribution theory/models. Stress Transfer in Granular Media(Peters):Discrete Element method coupling and upscaling tools, surface tension theory/models. Technology Transfer

One Team: Relevant... Ready... Responsive... Reliable A numerical model of particle-scale two- phase flow. A theory of variably-saturated granular media. A numerical model of variably-saturated granular media A multi-scale theoretical and computational model of variably-saturated granular media. Publications

One Team: Relevant... Ready... Responsive... Reliable Porous media experiments –Clint Willson –Tissa Illangesekare Mesh generation –Graham Carey Finite Elements –Clint Dawson Micro-mechanical models –Antoinette Tordesillas Multiscale Theory and Computations –Lynn Bennethum –Markus Hilpert Collaborations

One Team: Relevant... Ready... Responsive... Reliable Research on physical theory is related to thin film research in industrial mathematics, non-aqueous phase liquid research in environmental engineering, and granular media research in civil engineering. Combining fluid mechanics with solid mechanics is an active area in several fields, but no consensus on a standard set of theoretical or computational tools exists. Assessment of Research Area

One Team: Relevant... Ready... Responsive... Reliable Issues Weak points in the team –Need junior members with experience in the relevant mechanics, thermodynamics, mathematics and/or computer science. –Collaborating with academia hindered by overhead and red tape. Weak points in the computational infrastructure –Mesh generation –Visualization –Stability, maturity, availability of HPC environment Weak points in the theoretical approach –Non-equilibrium thermodynamics. –Obtaining relevant experimental data and incorporating into the models.