Grid Based Distributed Hybrid Testing Mobin Ojaghi, Javier Parra-Fuente, Kashif Saleem, Anthony Blakeborough, Martin S. Williams. Department of Engineering.

Slides:



Advertisements
Similar presentations
Common Instrument Middleware Architecture and Federation of Instrument Resources for X-ray Crystallography Rick McMullen Indiana University.
Advertisements

E-Science Update Steve Gough, ITS 19 Feb e-Science large scale science increasingly carried out through distributed global collaborations enabled.
Structural Dynamics Laboratory Department of Engineering Science, University of Oxford First European Conference on Earthquake Engineering and Seismology,
Optimal placement of MR dampers
DESIGN AND IMPLEMENTATION OF SOFTWARE COMPONENTS FOR A REMOTE LABORATORY J. Fernandez, J. Crespo, R. Barber, J. Carretero University Carlos III of Madrid.
NEESGrid: Early Experiences in CyberInfrastructure Charles Severance University of Michigan Sakai Project, NEESGrid Project, OGCE Project
1 Short Course on Grid Computing Jornadas Chilenas de Computación 2010 INFONOR-CHILE 2010 November 15th - 19th, 2010 Antofagasta, Chile Dr. Barry Wilkinson.
Technical Specification / Schedule Department of Computer Science and Engineering Michigan State University Spring 2007 Team : CSE 498, Collaborative Design.
UB Node Network for Earthquake Engineering Simulation (NEES)
UC Berkeley Reconfigurable Reaction Wall NEES Equipment Site NSF NEES Awardees Meeting Video-Teleconference.
9/28/01Colorado-NEES1 Fast Hybrid Test Platform for Seismic Performance Evaluation of Structural Systems P.I.s: P. Benson Shing Enrico Spacone University.
1. Wind Tunnel Control (WEBWIND) By: Adam Green Advisor: Dr. Aleksander Malinowski Dr. Scott Post Bradley University Department of Electrical Engineering.
Teleoperation and Teleparticipation of Instructional Shake Tables Using the NEES Cyberinfrastructure S.J. Dyke 1, Z. Jiang 2, R. Christenson 2, X. Gao.
Multiaxial Subassemblage Testing (MAST) System C. French, A. Schultz, J. Hajjar, C. Shield, R. Dexter Department of Civil Engineering D. Ernie Department.
6. & 7. Teams: Technical Specification / Schedule Project Title Team Member 1 Team Member 2 Team Member 3 Team Member 4 Department of Computer Science.
1 Workshop 20: Teaching a Hands-on Undergraduate Grid Computing Course SIGCSE The 41st ACM Technical Symposium on Computer Science Education Friday.
Feb. 19, 2008 CU-NEES 2008 FHT Workshop Simulation and Control Aspects of FHT M. V. Sivaselvan CO-PI CU-NEES Assistant Professor Dept. of Civil, Environmental.
Fractional Order LQR for Optimal Control of Civil Structures Abdollah Shafieezadeh*, Keri Ryan*, YangQuan Chen+ *Civil and Environmental Engineering Dept.
Knowledge Environments for Science and Engineering: Overview of Past, Present and Future Michael Pazzani, Information and Intelligent Systems Division,
Manasa Guduru Sai Prasanth Sridhar Malini srinivasan Sinduja Narasimhan Reference: Aymerich, F. M., Fenu, G., & Surcis, S. (2008). An approach to a cloud.
Robots at Work Dr Gerard McKee Active Robotics Laboratory School of Systems Engineering The University of Reading, UK
Constellation Technologies Providing a support service to commercial users of gLite Nick Trigg.
3 Cloud Computing.
Supercomputing Center Jysoo Lee KISTI Supercomputing Center National e-Science Project.
1 EVALUATING INTELLIGENT FLUID AUTOMATION SYSTEMS USING A FLUID NETWORK SIMULATION ENVIRONMENT Ron Esmao - Sr. Applications Engineer, Flowmaster USA.
APPLICATION DELIVERY IN UNIVERSITIES Glen D. Hauser, Joel Ahmed Engineering Computer Center (ECC) College of Engineering University of Saskatchewan.
NEES Equipment Site University of Minnesota Multi-Axial Subassemblage Testing (MAST) 6 Degree-of-Freedom (DOF) Control Technology Ability.
A brief overview about Distributed Systems Group A4 Chris Sun Bryan Maden Min Fang.
CS780-3 Lecture Notes In Courtesy of Mengjun Xie.
Cheng Chen Ph.D., Assistant Professor School of Engineering San Francisco State University Probabilistic Reliability Analysis of Real-Time Hybrid Simulation.
Accompanying notes to presentation What you need to know This presentation is part of the Art of connecting. There are four themes in total, each with.
DISTRIBUTED COMPUTING
Grid-based Sensor Network Service on Future Internet By Mohammad Mehedi Hassan Student ID:
1 지진하중을 받는 구조물의 MR 댐퍼의 동특성을 고려한 반능동 신경망제어 Heon-Jae Lee 1), Hyung-Jo Jung 2), Ju-Won Oh 3), In-Won Lee 4) 1) Graduate Student, Dept. of Civil and Environmental.
Modeling and Simulating Software Acquisition Process Architectures James Choi and Walt Scacchi Computer Science Dept. Institute for Software Research California.
August 2003 At A Glance VMOC-CE is an application framework that facilitates real- time, remote cooperative work among geographically dispersed mission.
Grid-based Future Internet with Wireless sensor network By Mohammad Mehedi Hassan Student ID:
July 21, 2005AESE Fast Hybrid Simulation with Geographically Distributed Substructures Gilberto Mosqueda Boza Stojadinovic Jason P. Hanley (Presenter)
July, 6, 2004 QoS and Dynamic Systems Workshop, ICPADS S. Olariu1, K. Maly2, E. C. Foudriat3 and S. M. Yamany4 {1,2,3}Department of Computer Science,
EDUCAUSE 2005 Annual Conference October 19, 2005.
Department of Electronic Engineering Challenges & Proposals INFSO Information Day e-Infrastructure Grid Initiatives 26/27 May.
Middleware Camp NMI (NSF Middleware Initiative) Program Director Alan Blatecky Advanced Networking Infrastructure and Research.
NEES Cyberinfrastructure Center at the San Diego Supercomputer Center, UCSD George E. Brown, Jr. Network for Earthquake Engineering Simulation Enabling.
ISERVOGrid Architecture Working Group Brisbane Australia June Geoffrey Fox Community Grids Lab Indiana University
Internet2 AdvCollab Apps 1 Access Grid Vision To create virtual spaces where distributed people can work together. Challenges:
Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.
May , 2006ICBL 2007 Florianopolis Brazil1 IRI-Easy: A Distance Education Software System Y. Wang, K. Maly, C. M. Overstreet Department of Computer.
June 13-15, 2007Policy 2007 Infrastructure-aware Autonomic Manager for Change Management H. Abdel SalamK. Maly R. MukkamalaM. Zubair Department of Computer.
December 10, 2003Slide 1 International Networking and Cyberinfrastructure Douglas Gatchell Program Director International Networking National Science Foundation,
Internet2 Applications Group: Renater Group Presentation T. Charles Yun Internet2 Program Manager, Applications Group 30 October 2001.
第 1 讲 分布式系统概述 §1.1 分布式系统的定义 §1.2 分布式系统分类 §1.3 分布式系统体系结构.
Towards an IoT Ecosystem Flavia C. Delicato 1, Paulo F. Pires 1, Thais Batista 2, Everton Cavalcante 2, Bruno Costa 1, Thomaz Barros 1 1 Department of.
Anomaly Detection and Damage Mitigation in Complex Systems by Amol M Khatkhate Pennsylvania State University.
The George E. Brown Network for Earthquake Engineering Simulations An Introduction MEP Camp 2011.
Distributed Sequencing for Resource Sharing in Multi-Applicative Heterogeneous NoC Platforms 林鼎原 Department of Electrical Engineering National Cheng Kung.
Grid Institute Scientific Council, September 10, 2008
Clouds , Grids and Clusters
NEGST January 2006-(may 2007)-December 2008 Serge G. Petiton, CNRS/LIFL The objective of the NEGST project is to promote the collaborations of Japan and.
Supporting Mobile Collaboration with Service-Oriented Mobile Units
Network Simulators.
Empowering business users to extend business processes to the cloud
Scope of this workshop and that of curriculum initiative (What?)
University of Technology
iSERVOGrid Architecture Working Group Brisbane Australia June
AN ENVIRONMENT FOR REMOTE CONTROL
EXCITED Workshop Suvrajeet Sen, DMII, ENG – CI Coordinator Workshop
3 Cloud Computing.
Grid Application Model and Design and Implementation of Grid Services
CSE 498, Collaborative Design
What is a Grid? Grid - describes many different models
Presentation transcript:

Grid Based Distributed Hybrid Testing Mobin Ojaghi, Javier Parra-Fuente, Kashif Saleem, Anthony Blakeborough, Martin S. Williams. Department of Engineering Science, University of Oxford. Paper

Theme Grid technology applied to earthquake engineering testing to facilitate distributed hybrid testing. UK-NEES (UK Network for Earthquake Engineering Testing)

Overview Earthquakes and earthquake engineering testing Hybrid testing Pseudo-dynamic and fast/real time hybrid testing Distributed hybrid testing NEES and UK-NEES Proposed architecture Grid architecture example Future work Related work

Earthquakes Sumatra Earthquake and Tsunami of 2004 Kobe 1995 Northridge 1994

Earthquake Engineering Testing Large scale Numerical Hybrid pseudo-dynamic fast/real time Distributed hybrid testing

Large Scale Testing

Hybrid Testing

NEES NEES Partnership with National and International Initiatives

UK-NEES Tele-observation Tele-participation Tele-operation Distributed hybrid testing On-line data access

UK-NEES Components NEES Equipment: Test Specimen, actuators, sensors, hydraulic controls, etc. Data Acquisition System (DAQ): Acquires data from research Equipment. NEES “Point of Presence” (NEES POP): Provides a home for NEES grid services at the equipment site. Hybrid Testing Node: Synchronizes and runs the geographically distributed hybrid tests.

Distributed Hybrid Test Architecture

Physical Model Node Architecture

Structure of a 5-floor Building Set Up for Hybrid Testing

Data Simulation of Physical Component Nonlinear Viscous Damper

Hybrid Testing Architecture Developed

Response from 5 th Floor to El- Centro NS Earthquake Storey drift is directly related to damage

Future Work Distributed Hybrid Testing Architecture

Related Work Grid technology in related projects US-NEES NZ-NEES JST (Japanese Science and Technology) International Solid Earthquake Research Virtual Observatory (ISERVO)

Conclusions Grid architecture allows expensive physical equipment located in different sites to work together to develop bigger distributed simulations, much larger than could be carried out due to cost and space limitations in any one lab. UK-NEES is the first grid network to be created in the UK to enable distributed hybrid testing. The grid architecture shown enables connection of heterogeneous hardware platforms at different nodes and user friendly software will allow viewing and participation in testing offering a smooth running solution for collaborative distributed testing.