Version, Date, POC Name 1 Purpose: To investigate multiscale flow discretizations that represent both the geometry and solution variable using variable-order.

Slides:



Advertisements
Similar presentations
Numerical Example - Contact Study A two layered [0 0 /90 0 ] laminate with a pre-existing delamination at the ply interface is considered. The plate is.
Advertisements

SPN Sheffield, August NUMERICAL MODELLING OF AIR-WATER FLOW IN A VERTICAL DROP MANHOLE Vitor Sousa IST, UTL Inês Meireles UA Jorge Matos IST,
1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review M3 Wave Energy Systems (TRL System) PI: Mike Morrow M3 Wave Energy Systems.
Hurricane Storm Surge Simulation on Petascale Computers Clint Dawson and Ethan Kubatko, UT Austin; Joannes Westerink, Notre Dame; Anna Spagnuolo, Oakland.
Improving and Trouble Shooting Cleanroom HVAC System Designs By George Ting-Kwo Lei, Ph.D. Fluid Dynamics Solutions, Inc. Clackamas, Oregon.
P. Venkataraman Mechanical Engineering P. Venkataraman Rochester Institute of Technology DETC2013 – 12269: Continuous Solution for Boundary Value Problems.
Algorithm Development for the Full Two-Fluid Plasma System
Advanced CFD Analysis of Aerodynamics Using CFX
Methods Towards a Best Estimate Radiation Transport Capability: Space/Angle Adaptivity and Discretisation Error Control in RADIANT Mark Goffin - EngD Research.
1 Approved for unlimited release as SAND C Verification Practices for Code Development Teams Greg Weirs Computational Shock and Multiphysics.
Coupling Continuum Model and Smoothed Particle Hydrodynamics Methods for Reactive Transport Yilin Fang, Timothy D Scheibe and Alexandre M Tartakovsky Pacific.
Chapter 17 Design Analysis using Inventor Stress Analysis Module
TERRIFIC Towards Enhanced Integration of Design and Production in the Factory of the Future through Isogeometric Technologies September 1, 2011-August.
A Bezier Based Approach to Unstructured Moving Meshes ALADDIN and Sangria Gary Miller David Cardoze Todd Phillips Noel Walkington Mark Olah Miklos Bergou.
1 Internal Seminar, November 14 th Effects of non conformal mesh on LES S. Rolfo The University of Manchester, M60 1QD, UK School of Mechanical,
1 Chapter 12: Decision-Support Systems for Supply Chain Management CASE: Supply Chain Management Smooths Production Flow Prepared by Hoon Lee Date on 14.
High-Order Adaptive and Parallel Discontinuous Galerkin Methods for Hyperbolic Conservation Laws J. E. Flaherty, L. Krivodonova, J. F. Remacle, and M.
Parallel Mesh Refinement with Optimal Load Balancing Jean-Francois Remacle, Joseph E. Flaherty and Mark. S. Shephard Scientific Computation Research Center.
Network and Grid Computing –Modeling, Algorithms, and Software Mo Mu Joint work with Xiao Hong Zhu, Falcon Siu.
Finite Element Modeling with COMSOL Ernesto Gutierrez-Miravete Rensselaer at Hartford Presented at CINVESTAV-Queretaro December 2010.
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.
Computational Modeling of Turbulent Asymmetric Jet Flows Prof. Ed Akin Mechanical Engineering and Materials Science Rice University Houston, Texas Jon.
Wavelets Series Used to Solve Dynamic Optimization Problems Lizandro S. Santos, Argimiro R. Secchi, Evaristo. C. Biscaia Jr. Programa de Engenharia Química/COPPE,
May Distribution authorized to U.S. Government Agencies only Symmetric Multimodal Interactive Intelligent Development Environments Dramatic reduction.
Department of Aerospace and Mechanical Engineering A one-field discontinuous Galerkin formulation of non-linear Kirchhoff-Love shells Ludovic Noels Computational.
IMAM Institute of Mechanics and Advanced Materials

Information Integration in Construction. Construction information In construction, architects, engineers, planners, contractors, facility managers....
Chapter 8: Problem Solving
Finite Differences Finite Difference Approximations  Simple geophysical partial differential equations  Finite differences - definitions  Finite-difference.
Role of Deputy Director for Code Architecture and Strategy for Integration of Advanced Computing R&D Andrew Siegel FSP Deputy Director for Code Architecture.
Hybrid WENO-FD and RKDG Method for Hyperbolic Conservation Laws
A Look at High-Order Finite- Volume Schemes for Simulating Atmospheric Flows Paul Ullrich University of Michigan.
Basic Research Program Multiscale Modeling of the Structure of Materials for Adaptive Protection 28 April 2009 Dr. Mei Chandler Geotechnical and Structures.
Supercomputing Center CFD Grid Research in N*Grid Project KISTI Supercomputing Center Chun-ho Sung.
Discontinuous Galerkin Methods and Strand Mesh Generation
High-Order Spatial and Temporal Methods for Simulation and Sensitivity Analysis of High-Speed Flows PI Dimitri J. Mavriplis University of Wyoming Co-PI.
MSc Thesis presentation – Thijs Bosma – December 4th 2013
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.
Version, Date, POC Name 1 Purpose: Concisely state the scientific objective of the proposed basic research proposal. Product/Results: Identify the research.
Discontinuous Galerkin Methods Li, Yang FerienAkademie 2008.
Numerical Investigation into Potential Flow Around High-speed Hydrofoil Assisted Craft ZHONGYU YANG supervised by Prof G.E HEARN and.
Purpose: To provide a multi-scale theoretical and computational model of variably saturated granular/porous media that will improve our ability to perform.
US Army Corps of Engineers Engineer Research and Development Center Navigation R&D High Fidelity Vessel Effects PI: Chris Kees and Matthew FarthingJanuary.
Numerical Analysis Intro to Scientific Computing.
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.
Abstract Particle tracking can serve as a useful tool in engineering analysis, visualization, and is an essential component of many Eulerian-Lagrangian.
FALL 2015 Esra Sorgüven Öner
One Team: Relevant... Ready... Responsive... Reliable Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 20 September.
Engineer Research and Development Center US Army Corps of Engineers Nearshore Breakwater System Jeffrey A. Melby, PhD.
Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 25 September 2008 Dr. Chris Kees and Dr. Matthew Farthing Coastal and.
Materials Process Design and Control Laboratory Sibley School of Mechanical and Aerospace Engineering 169 Frank H. T. Rhodes Hall Cornell University Ithaca,
© Ram Ramanan 2/22/2016 Commercial Codes 1 ME 7337 Notes Computational Fluid Dynamics for Engineers Lecture 4: Commercial Codes.
OR Integer Programming ( 정수계획법 ). OR
AIAA th AIAA/ISSMO Symposium on MAO, 09/05/2002, Atlanta, GA 0 AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINTIES Serhat Hosder, Bernard.
3/23/05ME 2591 Numerical Methods in Heat Conduction Reference: Incropera & DeWitt, Chapter 4, sections Chapter 5, section 5.9.
Deutscher Wetterdienst 1FE 13 – Working group 2: Dynamics and Numerics report ‘Oct – Sept. 2008’ COSMO General Meeting, Krakau
An Introduction to Computational Fluids Dynamics Prapared by: Chudasama Gulambhai H ( ) Azhar Damani ( ) Dave Aman ( )
Knowledge Transfer Networks Accelerating business innovation; a Technology Strategy Board programme Review of Challenges in Modelling and HT Methods for.
NON-PROPRIETARY DATA NASA SBIR/STTR Technologies A Mesh Adaptation and Shape Optimization on Unstructured Meshes PI: William M. Eppard CRM SOLUTIONS,
National Cybersecurity Center of Excellence Increasing the deployment and use of standards-based security technologies NIST Industry Day February 10, 2016.
One Team: Relevant... Ready... Responsive... Reliable Basic Research Program Particle-Scale Distribution of Soil Moisture in Porous Media 24 January 2007.
Computational Fluid Dynamics Lecture II Numerical Methods and Criteria for CFD Dr. Ugur GUVEN Professor of Aerospace Engineering.
error-driven local adaptivity in elasto-dynamics
Parallel Unstructured Mesh Infrastructure
Fluid Flow Regularization of Navier-Stokes Equations
What is the future of applied mathematics? Chris Budd.
Comparison of CFEM and DG methods
Presentation transcript:

Version, Date, POC Name 1 Purpose: To investigate multiscale flow discretizations that represent both the geometry and solution variable using variable-order polynomial and spline-based (NURBS) approximations allow variable inter-element regularity Product/Results: Implement high-order polynomial and NURBS- approximations in existing frameworks for Navier-Stokes (NS) and shallow water (SW) equations Initial adaptive strategies that exploit approximation order, mesh size, and regularity for NS and SW Application of adaptive strategies to challenging SW problems and initial free- surface isogeometric (NURBS) capability Payoff: High-order, accurate models for free surface flows in complex geometries New, efficient adaptive strategies for modeling multiscale flows. Schedule & Cost Total $750K MILESTONES FY10 FY11 FY12 Army ($K) Implementation of High-Order FEMs High-Order, multiscale flow simulation Adaptive, High-Order FEMs for NS and SW Hybrid FEM strategies for SW and free-surface NS 2 1 Ending TRL/SRLs Beginning TRL/SRLs Variational multiscale simulation for 3-D backward facing step WP # Status: New

Version, Date, POC Name 2 1. What is the problem? It remains very difficult to represent many complex free-surface flows accurately with existing low-order approximations given available computational resources. The objective of our research is to study multiscale flow discretizations that represent problem geometry and solution using variable-degree polynomial and spline-based (NURBS) approximations. Our approaches will also allow varying types and degrees of inter-element regularity. 2. What are the barriers to solving the problem? The flow problems we are interested in are complex, turbulent free- surface flows (hydrostatic or nonhydrostatic) in which capturing small scale variation is critical to overall accuracy. Unfortunately, gaining sufficient accuracy can be infeasible using standard low-order approximations. Higher order approximations can be more accurate, but traditional or naïve approaches have not been adequate for complex, engineering- scale problems. 3. How will you overcome these barriers? Recent advancements have found effective ways to incorporate high- order approximations into robust finite element frameworks for CFD. We will explore two of these approaches: Isogeometric analysis and discontinuous Galerkin approximations. We will investigate high-order versions of each and investigate novel hybrid combinations to test our hypothesis: High-order approximations in the correct finite element framework will be much more efficient than existing low-order methods for many free- surface flows 4. What are the anticipated results and value of this research? Isogeometric finite element approximations for laminar and turbulent channel flows. High-order, adaptive DG methods for shallow water flows. Hybrid Isogeometric-DG strategies that exploit variable inter-element regularity for improved efficiency. 5. What is innovative about this work? We will be exploring state-of-the-art computational methods for CFD that have shown much promise, but have not been applied to free surface problems or real-world channel flows. We will be advancing methods that are very new and developing hybrid, adaptive approaches to make these techniques practical for engineering-scale problems. If we are successful, our approaches could revolutionize the way free-surface flows are modeled in the Corps and the community as a whole. 6. What is your publication plan? Oct Hybrid isogeometric discontinuous Galerkin methods for open channel flows. CMAME May Isogeometric analysis for microscale models of flow through permeable media. Physics of Fluids. Dec Mixed element hp refinement strategies for DG approximations of the shallow water equations. CMAME Oct Isogeometric level-set formulations for free-surface flows. JCP. 7. Transition plan: We will be implementing and extending high-order isogeometric and DG methods in our research codes. A natural transition would be introduction of these techniques into production codes like ADH 8. Collaboration across ERDC, commercial firms and/or academia: CHL researchers will be collaborating academic researchers (Yuri Bazilevs at UCSD) High-Order, multiscale flow simulation WP # Status: New

Version, Date, POC Name 3 High-Order, multiscale flow simulation WP # Status: New Q1. What is the research problem? It remains very difficult to represent many complex free-surface flows accurately with existing low-order approximations given available computational resources. Q2. Describe the research objective. To advance classes of high-order accurate finite element approximations that have shown great promise for multiscale flow simulation. Q3. What is the toughest technical challenge in the work? High-order finite element approximations for nonlinear flow problems are complex. Isogeometric (NURBS-based) methods are in their infancy, and we are looking at developing strategies that are efficient for engineering problems. Q4. If successful, what will be the significance and impact of this research? Our approaches would add wholly new computational capabilities for hydrostatic and non-hydrostatic free surface flows. Q5. What future applications could result from this research? New software tools for flow modeling which can move directly from CAD geometries to analysis Q6. What other organizations are pursuing this research? These methods are actively being pursued in academia Q7. What makes this research innovative, original and high risk? We will be exploring state-of-the-art computational methods for CFD that have shown much promise, but have not been applied to free surface problems or real-world channel flows. We will be advancing methods that are very new and developing hybrid, adaptive approaches to make these techniques practical for engineering-scale problems. Q8. How could this research develop future capabilities for ERDC? If we are successful, our approaches could revolutionize the way free-surface flows are modeled in the Corps and the community as a whole Q9. Describe the research team and plan. The research team consists of PI’s from CHL and a leading expert in finite element method from academia. The research plan consists of three phases where begin by implementing methods for laminar flows then transition to adaptive techniques and turbulent problems. Q10. Is there adequate funding, equipment, and facilities to complete this research as planned? If funded at the expected level.