MOOSE an Ob JectOriented Multimo Deling and Simulation

Total Page:16

File Type:pdf, Size:1020Kb

MOOSE� an Ob Ject�Oriented Multimo Deling and Simulation MOOSE an ob jectoriented multimo deling and simulation application framework Rob ert M Cub ert and Paul A Fishwick DepartmentofComputer Information Science and Engineering CSE Ro om University of Florida Gainesville FL ABSTRACT MOOSE Multimo del Ob ject Oriented Simulation Environment is an application framework for mo deling and simulation under development at University of Florida based on Ob ject Oriented Physical Mo deling OOPM OOPM extends ob jectoriented program design with visualization and a denition of system mo deling that reinforces the relation of model to program OOPM is a natural mechanism for mo deling largescale systems and facilitates eectiveintegration of disparate pieces of co de into one simulation Comp onents of MOOSE are Human Computer Interface HCI Library and BackEnd HCI in teracts with mo del author via graphical user interface GUI which captures mo del design controls mo del execution and provides output visualization Library has a mo del rep ository and ob ject store facilitating collab orative and distributed mo del denitions and managing ob ject p ersistence The Back End automatically converts a mo del denition to a complete simulation program in some Translator Target Language TTL presently C then compiles and links the program it wrote adding runtime supp ort and creating an executable program which runs under control of the HCI to provide mo del execution Dynamic mo del typ es include Finite State Machine Functional Blo ck Mo del Equational Constraint mo del and Rulebased Mo del alternatively mo del authors may create their own C co de metho ds mo del typ es may b e freely combined through multimo deling which glues together mo dels of same or dierenttyp es pro duced during mo del renement reecting various abstraction p ersp ectives to adjust mo del delity during development and during mo del execution Underlying multimo deling is Blo ck as fundamental ob ject Every mo del is built from Blo cks expressed in a Mo deling Assembly Language Keywords Simulation Multimo del Ob jectOriented Mo deling Mo del Abstraction Ob ject Oriented Physical Mo deling Visualization Application F ramework INTRODUCTION MOOSE is an acronym for Multimo del Ob ject Oriented Simulation Environment a mo deling and simulation en abling to ol under development at University of Florida MOOSE is an implementation of OOPM Ob ject Oriented Physical Mo deling an approachtomodelingandsimulation which promises not only to tightly couple a mo dels human author into the evolving mo deling and simulation pro cess through an intuitive HCI human computer in terface but also to help a mo del author to perform any or all of the following to think clearly ab out to b etter understand or to elucidate a mo del to participate in a collab orative mo deling eort to rep eatedly and painlessly rene a mo del as required in order to achieve adequate delity at minimal development cost to painlessly build large mo dels out of existing working smaller mo dels to start from a conceptual mo del whichis intuitively clear to domain exp erts and to unambiguously and automatically convert this to a simulation program to create or change a simulation program without b eing a programmer to p erform simulation mo del execution and to present simulation results in a meaningful way so as to facilitate the other ob jectives ab ove In some cases mo del design without mo del execution suces to achieve the mo del authors ob jectives whichmay b e to learn ab out or b etter understand a phenomenon or system or to communicate ab out such a system with ones colleagues This purp ose is per se justication for the development of MOOSE But usually a mo del author wishes not only to design a mo del but also to construct a simulation program to p erform mo del execution for reasons which include to empirically validate the mo del based on observed b ehavior to select or adjust various parameters and values and observe their eect to measure p erformance to gauge mo del delity and assess its adequacy In prevalent practice a mo del author makes what is known as a conceptual model often similar to a blackb oard picture with annotations and uses this mo del to describ e to one or more programmers detailed requirements for asimulation program to b e written based on the conceptual mo del Programmers then write a program but there is not necessarily a relation between the conceptual model and the program subsequently produced MOOSE oers to improve this situation MOOSE assists the mo del author with constructing the conceptual mo del and then builds a simulation program in an unambiguous way from the conceptual mo del MOOSE thus provides a mapping from conceptual mo del to simulation program Advantages include builtin mo del validation partial automation of the development pro cess allowing mo del authors and programmers to fo cus on the dicult rather than on the tedious easier accommo dation to change leading to a view of change as acceptable instead of as a threat reducing the resp onse time asso ciated with system development allowing the mo del author to eectively drive the development pro cess The amount of detail in a mo del reects the mo del authors abstraction p ersp ective Renement to greater detail is used to obtain mo del delity that is adequate in the eyes of the mo del author from a given abstraction p ersp ective and with certain ob jectives for the mo del or simulation to meet MOOSE addresses this area with multimodeling an approach which glues together mo dels of the same or dierent typ es pro duced during the activity of mo del renement and reecting various abstraction p ersp ectives Renement can b e adjustable during mo del execution as well as during mo del design The pieces that are put together to form a mo del such as describ ed ab ove are dynamic models Dynamic mo del typ es supp orted include Finite State Machine FSM Functional Blo ck Mo del FBM Equational ConstraintModelEQN and Rulebased Mo del RBM alternativelyusersmay create their own C co de mo dels mo del typ es may b e freely combined The dynamic mo del typ es implemented so far form a p opular collection of approaches used in simulation Additional dynamic mo del typ es are certainly in order and will likely b e added to the MOOSE rep ertoire Reuse of ones own previous work as wellasby one mo del author of the work of others is encouraged byavailability of mo del rep ositories These form a resource of growing value as MOOSE matures For example the b oiling water mo del is an FSM multimo del part of whichisshown in Fig Later we implemented a mo del of Rob ert Fultons steamship whose FBM app ears in Fig When the Fulton mo del was built the b oiling water mo dels Pot reemerged as the Boiler of the steamship Yet an application framework is more than just a class library In an application framework classes from the library are related in suchaway that a class is not used in isolation but within a design encouraged and supp orted by the framework The MOOSE Mo del Rep ository MMR is aptly named b ecause it is not just a class library as a mo del rep ository it stores not only a collection of classes available for reuse but also the design which relates those classes as to howtheyplay together within the geometry and dynamics of a particular mo del This enables supp ort for one of Bo o chs ve attributes of a complex system p A complex system that works is invariably found to have evolved from a simpler system that worked A complex system designed from scratchnever works and cannot b e patched up to makeit work Using MMR mo del authors can start from some piece of their overall system that happ ens to app eal to them intuitively When several such pieces are working they may b e combined into a morecomplex working system Comp onents of MOOSE fall into three groups Human Computer Interface HCI Library and Back End The HCI is comprised of two comp onents Mo deler and Scenario Modeler interacts with the human mo del author via graphical user interface GUI to construct the mo del In simulation parlance this is model design Mo deler relies on the Library discussed b elow to store mo del denitions Scenario is a visualization enabler employing a GUI Scenario activates and initializes simulation mo del execution which we call Engine at the b ehest of user who mayormay not b e the original mo del author Scenario maintains synchronous interaction with Engine displaying Engine output in a form meaningful to user optionally allowing user to interact with Engine including mo difying simulation parameters and changing the rate of simulation progress The BackEndhastwo comp onents Translator and Engine Translator is a bridge b etween mo del design and mo del execution Translator reads from the Library a languageneutral mo del denition pro duced by Mo deler and emits a complete computer program for the mo del in Translator Target Language TTL Presently MOOSE TTL is C potentially TTL can be Javaoranother language This simulation program emitted byTranslator is called Engine Its source language is TTL presently C Once compiled and linked with runtime supp ort the Engine executable program is activated under control of Scenario to p erform mo del execution The Library has two comp onents MOOSE Model Repository MMR and k of MOOSE Object Store MOS MOS holds ob ject data and MMR holds ob ject metadata MMR keeps trac mo dels as they are b eing built MMR servers provide a database management system DBMS for mo del denitions MMR clients work with Mo deler and Translator to dene and use mo del denitions
Recommended publications
  • Characterization of Moose Movement Patterns and Movement of Black Bears in Relation to Anthropogenic Food Sources on Joint Basse
    Form Approved REPORT DOCUMENTATION PAGE OMB No. 074-0188 AD_________________ (Leave blank) Award Number(s): W81XWH-08-2-0179-0002 W912DY-09-2-0011 W9126G-10-2-0042 TITLE: Characterization of moose movement patterns and movement of black bears in relation to anthropogenic food sources on Joint Base Elmendorf- Richardson, Alaska PRINCIPAL INVESTIGATOR: (Enter the name and degree of Principal Investigator and any Associates) Sean D. Farley,Ph.D.; Perry Barboza, Ph.D ; Herman Griese, MS; Christopher Garner, BS CONTRACTING ORGANIZATION: 673d Civil Engineering Squadron 724 Quartermaster Drive Joint Base Elmendorf Richardson, Alaska 99505-8860 REPORT DATE: Sept 2014 TYPE OF REPORT: Final PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012 (W81XWH-08-2-0179-0002) Army Corps of Engineers U.S. Army Engineering and Support Center Huntsville, Alabama 35816-1822 (W912DY-09-2-0011) Army Corps of Engineers U.S. Army Engineering and Support Center Fort Worth, Texas 76102-0300 (W9126G-10-2-0042) DISTRIBUTION STATEMENT: (Check one) X Approved for public release; distribution unlimited Distribution limited to U.S. Government agencies only; report contains proprietary information The views, opinions and/or findings contained in this report are those of the author(s) and should not be construed as an official Department of the Army position, policy or decision unless so designated by other documentation. 1 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information.
    [Show full text]
  • National Reactor Innovation Center Enabling the Testing and Demonstration of Advanced Reactor Concepts
    National Reactor Innovation Center Enabling the testing and demonstration of advanced reactor concepts he National Reactor Innovation Center (NRIC) • Validate advanced nuclear reactor concepts. at Idaho National Laboratory provides resources for testing, demonstration, and • Resolve technical challenges of advanced T nuclear reactor concepts. performance assessment to accelerate deployment of new advanced nuclear technology concepts. • Provide general research and development to improve innovative technologies. What is NRIC? Authorized by the Nuclear Energy Innovation How will NRIC interface with the Gateway for Capabilities Act (NEICA), NRIC provides private Accelerated Innovation in Nuclear (GAIN)? sector technology developers access to the Both GAIN and NRIC are necessary components strategic infrastructures and assets of the national laboratories. Companies can use in a modern business model and approach, given these resources for commercial nuclear energy today’s technological and regulatory environment. research, development, demonstration and The GAIN initiative was developed as a mechanism deployment activities. These capabilities will to provide the nuclear energy industry with access ultimately support a timely and cost-effective to the technical, regulatory and financial support path to the licensing and commercialization of necessary to move new or advanced nuclear new nuclear energy systems. technologies toward commercialization, as well as ensuring the continued reliable; clean and Why is NRIC needed? economic operation of the existing nuclear reactor NRIC is intended to: fleet. It offers a single point of access to the broad • Enable testing and demonstration of reactor range of capabilities in DOE’s national laboratory concepts by the private sector. complex and has developed and maintained NRIC Provides Capabilities to Accelerate Technology Readiness from Proof of Concept through Proof of Operations.
    [Show full text]
  • MOOSE Applications
    NUCLEAR ENERGY NUCLEAR ENERGY Continued from previous page • Bighorn: The physics contained in Bighorn (led by Richard Martineau) will simulate the mass and energy transport of reac- tor systems coolant. The project will help advance INL’s MOOSE (Multiphysics Object Oriented Simulation INL’s Advanced Test Reac- Environ ment) enables tor (ATR) modeling and advanced simulation tools to simulation to the forefront be devel oped in a fraction of of computational methods the time previously required. for nuclear reactor design/ For more information analysis. Its applications could include light water reactors, Next Generation Joseph Campbell Nuclear Plant concepts and (208) 526-7785 The Grizzly code models degradation that can build up after years of sodium-cooled fast reactors. use in reactor pressure vessels and other components. [email protected] • Condor: This module (led by Argonne National Laboratory) is a proposed fort will build Condor using interface — and proven A U.S. Department of Energy high-temperature supercon- the MOOSE framework. scalability properties — is National Laboratory ductivity simulation tool. MOOSE, with its multi- an ideal platform for this The Argonne SciDAC (Sci- physics coupling capabili- pressing computational sci- entific Discovery through ties, adaptive mesh refine- ence problem. Advanced Computing) ef- ment and mesh generator • RAVEN: The RAVEN soft- ware tool (led by Cristian Rabiti) will provide a user interface for RELAP-7, the newest version of INL’s Reactor Excursion and Leak Analysis Program, INL’s premier reactor safety and systems analysis tool. The RAVEN software tool also MOOSE Simulation Environment will use RELAP-7 to per- Fostering a herd of modeling applications form Risk-Informed Safety Margin Characterization.
    [Show full text]
  • Warthog: a MOOSE-Based Application for the Direct Code Coupling of BISON and PROTEUS (MS-15OR04010310)
    ORNL/TM-2015/532 Warthog: A MOOSE-Based Application for the Direct Code Coupling of BISON and PROTEUS (MS-15OR04010310) Alexander J. McCaskey Approved for public release. Stuart Slattery Distribution is unlimited. Jay Jay Billings September 2015 DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via US Department of Energy (DOE) SciTech Connect. Website: http://www.osti.gov/scitech/ Reports produced before January 1, 1996, may be purchased by members of the public from the following source: National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone: 703-605-6000 (1-800-553-6847) TDD: 703-487-4639 Fax: 703-605-6900 E-mail: [email protected] Website: http://www.ntis.gov/help/ordermethods.aspx Reports are available to DOE employees, DOE contractors, Energy Technology Data Ex- change representatives, and International Nuclear Information System representatives from the following source: Office of Scientific and Technical Information PO Box 62 Oak Ridge, TN 37831 Telephone: 865-576-8401 Fax: 865-576-5728 E-mail: [email protected] Website: http://www.osti.gov/contact.html This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal lia- bility or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or rep- resents that its use would not infringe privately owned rights. Refer- ence herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not nec- essarily constitute or imply its endorsement, recommendation, or fa- voring by the United States Government or any agency thereof.
    [Show full text]
  • Cody Permann 1687 Sunny Pine Way Idaho Falls, ID 83404 (208) 521-7514
    Cody Permann 1687 Sunny Pine Way Idaho Falls, ID 83404 (208) 521-7514 EXPERIENCE Computational Frameworks Research Scientist Idaho National Laboratory 2008 - present Worked as a core developer on the MOOSE (Multiphysics Object-Oriented Simulation Environment) framework, which is a high performance, parallel, fully implicit, finite element simulator. My duties include contributions to the core framework, management of the collaboration and source control services, assisting and instruction users on the use of the framework, and running large parallel jobs on INLs supercomputing resources. High Performance Computing Application Consultant Idaho National Laboratory 2000 - 2008 High Performance Computing Application Consultant responsible for efficient application utiliza- tion of various HPC class machines. My responsibilities included creating and/or maintaining the Bioinformatics applications and utilizing the HPC resources as appropriate for larger scale problems, working on a large scale Waste Tracking System contract for Ontario Power Generation in Toronto, Canada, assisting in configuring, troubleshooting and using many operating systems including Linux variants, Mac OS X, and Windows. Finally, I created and maintained numerous scripts to automate both scientific and business processes. EDUCATION Mississippi State University Sept 2010 - present Computational Engineering Ph.D. Program University of Idaho Dec 2010 M.S. Computer Science GPA 4.0/4.0 Specialites in HPC, OpenCL, Compilers, and Genetic Programming Idaho State University May 2000
    [Show full text]
  • Interoperability Via Mapping Objects
    Interoperability via Mapping Objects Fragkiskos Pentaris and Yannis Ioannidis University of Athens, Dept. of Informatics and Telecommunications Panepistemioupolis, 157 84, Athens, Hellas (Greece) {frank, yannis}@di.uoa.gr 1. Introduction In order to provide end-users with services of better quality, Digital Libraries (DLs) need to be constantly adopting new technologies that are emerging in various related fields, e.g., new metadata models and languages, new information retrieval algorithms, and new storage means. These force DLs to constantly alter their basic structure, generat- ing significant interoperability problems between the new and the old systems. Solving the various semantic, syntactic and structural interoperability issues in large federations of DLs, remains a major problem [8]. Over the years, system designers have developed several different approaches for in- teroperability [12], including the use of (families of) standards, external mediation, speci- fication-based interaction, and mobile functionality. The use of mediation or middleware techniques has gained much support, as it provides good results without compromising the autonomy of existing systems. Recent examples of such DL systems and architectures in- clude MARIAN [3], MIX [1], and the Alexandria Digital Library [4]. Some other relevant, yet more general, systems include Pegasus, Infomaster, TSIMMIS, GARLIC, HERMES, MOCHA, MOMIS, OPM, SIMS/ARIADNE, Information Manifold, Clio, IRO-DB, and MIRO-Web. In this short paper, we give an overview of the HORSE II distributed mediated sys- tem. This system, follows the traditional mediator-wrapper model, combined with several techniques to provide bi-directional (read-write) access to multiple, disparate data sources. Transformations between different forms of data and queries are expressed with the help of volatile mapping objects.
    [Show full text]
  • Modeling Radionuclide Diffusion Using Moose a Multiscale, Multiphysics Platform Jonathon Gardner University of South Carolina
    University of South Carolina Scholar Commons Theses and Dissertations 2016 Modeling Radionuclide Diffusion Using Moose A Multiscale, Multiphysics Platform Jonathon Gardner University of South Carolina Follow this and additional works at: https://scholarcommons.sc.edu/etd Part of the Mechanical Engineering Commons Recommended Citation Gardner, J.(2016). Modeling Radionuclide Diffusion Using Moose A Multiscale, Multiphysics Platform. (Master's thesis). Retrieved from https://scholarcommons.sc.edu/etd/3918 This Open Access Thesis is brought to you by Scholar Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. MODELING RADIONUCLIDE DIFFUSION USING MOOSE A MULTISCALE, MULTIPHYSICS PLATFORM by Jonathon Gardner Bachelor of Science Georgia College & State University, 2014 Submitted in Partial Fulfillment of the Requirements For the Degree of Master of Science in Mechanical Engineering College of Engineering and Computing University of South Carolina 2016 Accepted by: Travis W. Knight, Director of Thesis Kyle Brinkman, Reader Cheryl L. Addy, Vice Provost and Dean of the Graduate School c Copyright by Jonathon Gardner, 2016 All Rights Reserved. ii DEDICATION This thesis is dedicated to my wife Rachel Gardner and my family, for their constant encouragement and support. iii ACKNOWLEDGEMENTS Funding for this project is from the U.S. Department of Energy. This material is based upon work supported by the U.S. Department of Energy Office of Sci- ence, Office of Basic Energy Sciences and Office of Biological and Environmental Research under Award Number DE-SC-00012530. Great contributions to this project were made in the form of the review and instruction of Dr.
    [Show full text]
  • Petition to List the U.S
    BEFORE THE SECRETARY OF THE INTERIOR PETITION TO LIST THE U.S. POPULATION OF NORTHWESTERN MOOSE (ALCES ALCES ANDERSONI) UNDER THE ENDANGERED SPECIES ACT JULY 9, 2015 CENTER FOR BIOLOGICAL DIVERSITY HONOR THE EARTH NOTICE OF PETITION Sally Jewell, Secretary U.S. Department of the Interior 1849 C Street NW Washington, D.C. 20240 [email protected] Dan Ashe, Director U.S. Fish and Wildlife Service 1849 C Street NW Washington, D.C. 20240 [email protected] Douglas Krofta, Chief Branch of Listing, Endangered Species Program U.S. Fish and Wildlife Service 4401 North Fairfax Drive, Room 420 Arlington, VA 22203 [email protected] PETITIONERS The Center for Biological Diversity (Center) is a non-profit, public interest environmental organization dedicated to the protection of native species and their habitats through science, policy, and environmental law. The Center is supported by more than 900,000 members and activists throughout the United States. The Center and its members are concerned with the conservation of endangered species and the effective implementation of the Endangered Species Act. Honor the Earth is a Native-led organization, established by Winona LaDuke and Indigo Girls Amy Ray and Emily Saliers. Our mission is to create awareness and support for Native environmental issues and to develop needed financial and political resources for the survival of sustainable Native communities. Honor the Earth develops these resources by using music, the arts, the media, and Indigenous wisdom to ask people to recognize our joint dependency on the Earth and be a voice for those not heard. ii Submitted this 9th day of July, 2015 Pursuant to Section 4(b) of the Endangered Species Act (ESA), 16 U.S.C.
    [Show full text]
  • Overview of the Incompressible Navier–Stokes Simulation Capabilities in the MOOSE Framework
    Overview of the Incompressible Navier{Stokes simulation capabilities in the MOOSE Framework John W. Peterson, Alexander D. Lindsay, and Fande Kong jw.peterson,alexander.lindsay,fande.kong @inl.gov f g Department of Modeling and Simulation Idaho National Laboratory 2525 N. Fremont Ave. Idaho Falls, ID 83415 February 22, 2018 Abstract The Multiphysics Object Oriented Simulation Environment (MOOSE) framework is a high-performance, open source, C++ finite element toolkit developed at Idaho Na- tional Laboratory. MOOSE was created with the aim of assisting domain scientists and engineers in creating customizable, high-quality tools for multiphysics simulations. While the core MOOSE framework itself does not contain code for simulating any particular physical application, it is distributed with a number of physics \modules" which are tailored to solving e.g. heat conduction, phase field, and solid/fluid mechan- ics problems. In this report, we describe the basic equations, finite element formula- tions, software implementation, and regression/verification tests currently available in MOOSE's navier_stokes module for solving the Incompressible Navier{Stokes (INS) equations. arXiv:1710.08898v2 [math.NA] 21 Feb 2018 1 Introduction The MOOSE framework [1], which has been under development since 2008 and LGPL-2.1 licensed open source software on GitHub1 since March 2014 [2], was originally created to fa- cilitate the development of sophisticated simulation tools by domain experts in fields related to nuclear power generation (neutron transport, nuclear fuel performance, mesoscale mate- rial modeling, thermal hydraulics, etc.) who were not necessarily experts in computational science. A guiding principle in the development of the MOOSE framework is: by lowering the typical computational science-related barriers of entry, e.g.
    [Show full text]
  • Phase Field Modeling of the Tetragonal-To-Monoclinic Phase
    Phase Field Modeling of the Tetragonal-to-Monoclinic Phase Transformation in Zirconia Matthew Trappett 1, Morgan Diefendorf 2 Mahmood Mamivand 2 Mechanical and Biomedical Engineering 1Department of Physics, Utah Valley University 2Department of Mechanical and Biomedical Engineering, Boise State University Introduction Methods Results The tetragonal to monoclinic phase transformation (T M) in • Phase Field Equations zirconia is an important contributor to the failure of nuclear MOOSE fuel rods used in nuclear power plants. A model of this • Material Properties process has been developed using a phase field method by Input File for Mamivand et al. Our goal is to apply this model using the • Energy Functions Processing MOOSE framework. MOOSE, multi-physics object oriented software environment, is a valuable tool for modeling T M because: Phase Field Method: • Automatic parallelization • Mathematical model used for moving boundary Figure 4: Zirconia • Finite Element Framework problems. Figure 5: Current TM using COMSOL. • Plug-n-physics modules • Minimizes and accounts for all the energies. results using MOOSE. • Free and open source • Ginzburg-Landau Kinetic Equation implemented into MOOSE kernels to define the phase field model: Figure 1. Zirconia Conclusion cladding crack. , , 1, … MOOSE is capable of modeling T M in zirconia with , an approach more valuable than classical methods. This could provide important insight for development of nuclear fuel rods for prevention of cracking. Figure 2. TEM micrograph of Future Works partially transformed t-ZrO 2. • Continue fixing parameters in MOOSE to represent Objectives TM zirconia structure as shown in figure 2. • Run MOOSE code on the • Understand MOOSE framework and it’s phase field Figure 3.
    [Show full text]
  • Julyaugust 2016
    TM THRESHOLDVolume 32, No. 4 July/Aug 2016 2016 IEW - ESD Technology Mixed with Bavarian Fun! The 2016 IEW workshop was held at the Evangelische Akademie in Tutzing, Germany, and we continue to receive comments about its success. The workshop was attended by 87 people, making this one of the most popular locations for the IEW. The conference facilities made the event a wonderful experience, with a circular auditorium for talks that created both a relaxed and open environment for the speakers and attendees. The conference included poster sessions and presentations about several ESD related issues. Discussion Groups were quite popular and attendees actively participated. For this workshop there were several invited talks from industries including medical appliances and automotive. On Monday evening, attendees were entertained with Bavarian tradi- tions such as a particular form of dancing called ‘Schuhplattln’. On Wednesday, there was time for everyone to enjoy some of the local scenery. The IEW workshop is proving to be a popular event containing some valuable technical presentations, posters, tutorials, and discussions, while maintaining a relaxed and informal environment. If you would like to be a part of this rewarding event we invite you to join us next year at the 11th annual IEW workshop from May 7-11, 2017 at the Granlibakken Tahoe, Tahoe City, CA. In this issue IEW, page 1 Standards Virtual Meetings Series, page 10 From the President, page 2 Standards Sept Meetings Series, page 11 National Chiao-Tung Symposium on Demand, page 12 University, pages 3-5 Q & A, page 13 Symposium, pages 6-7 EOS/ESD Factory Symposium Finland, page 14 Corporate Sponsorship, page 8 Calendar, page 15 ESDA Spotlight, page 9 Photo Corner, page 16 THRESHOLDTM July/Aug 2016 From the President Volunteer and join the team! The ESD Association is successful because of its network of mem- bers who volunteer to carry out its mission and activities.
    [Show full text]
  • Grizzly Usage and Theory Manual Version 1.0 Beta
    INL/EXT-16-38310 Light Water Reactor Sustainability Program Grizzly Usage and Theory Manual Version 1.0 Beta B. W. Spencer M. Backman P. Chakraborty D. Schwen Y. Zhang H. Huang X. Bai W. Jiang March 2016 DOE Office of Nuclear Energy DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness, of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. References herein to any specific commercial product, process, or service by trade name, trade mark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the U.S. Government or any agency thereof. INL/EXT-16-38310 Light Water Reactor Sustainability Program Grizzly Usage and Theory Manual Version 1.0 Beta B. W. Spencer – INL M. Backman – University of Tennesse, Knoxville P. Chakraborty – INL D. Schwen – INL Y. Zhang – INL H. Huang – INL X. Bai – INL W. Jiang – INL March 2016 Idaho National Laboratory Idaho Falls, Idaho 83415 http://www.inl.gov/lwrs Prepared for the U.S. Department of Energy Office of Nuclear Energy Under DOE Idaho Operations Office Contract DE-AC07-05ID14517 Acknowledgments Development of Grizzly is funded by the Risk-Informed Safety Margins Characterization (RISMC) pathway of the Department of Energy’s Light Water Reactor Sustainability (LWRS) program.
    [Show full text]