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![EDP – Engineering Demand Parameters
28
EDP
FloorDisp FloorAccel StoryDrift
columnLine
Floor
data
columnLine
Floor
data
columnLine
floor1
Floor2
data
= Inheritance
(is a)
PanelPressure
EDP = Engineering
Demand Parameter
columnLines[]
floors[]
data
data: scalar or vector
initially empty
single values
distribution (UQ)](https://image.slidesharecdn.com/presentationmckenna-170704232654/75/OpenSees-Future-Directions-28-2048.jpg)
![The Data is Passed Between
APPLICATIONS
• Given Inputs and Outputs, what are the applications
to work on the DATA.
– AI-M (BM,Event[]) -> SAM
– FEM-UQ (BM,Event[],SAM)->EDP
– DL (BM,Event[],SAM, EDP)->DL
• Pre- and Post processors for a applications (python)](https://image.slidesharecdn.com/presentationmckenna-170704232654/75/OpenSees-Future-Directions-31-2048.jpg)
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OpenSees: Future Directions
- 1. OpenSees: Future Directions Frank McKenna FirstEuropean Conference on OpenSees Porto, Portugal June 19-20 2017
- 2. Outline 1. Python Interpreter 2.OpenSeesIDE 3. SimCenter
- 3. OpenSees Python Interpreter •We are releasing a beta version of a Python interpreter. • Python is the most widely used programming language taught in universities • We will release both Tcl and Python interpreters for OpenSees(the python interpreter might lack some functionality in terms of available options)
- 4. # create model ops.wipe() ops.model("BasicBuilder","-ndm",2, "-ndf",2) ops.node(1, 0.0, 0.0) ops.node(2, 144.0, 0.0) ops.node(3, 168.0, 0.0) ops.node(4, 72.0, 96.0) ops.fix(1, 1, 1) ops.fix(2, 1, 1) ops.fix(3, 1, 1) ops.uniaxialMaterial("Elastic", 1, 3000.0) ops.element("truss", 1, 1, 4, 10.0, 1) ops.element("truss", 2, 2, 4, 5.0, 1) ops.element("truss", 3, 3, 4, 5.0, 1) ops.timeSeries("Linear", 1) ops.pattern("Plain", 1, 1, "-fact", 1.0) ops.load(4, 100.0, -50.0) ops.system("BandSPD") ops.numberer("RCM") ops.constraints("Plain") ops.algorithm("Linear") ops.integrator("LoadControl", 1.0) ops.analysis("Static") ops.recorder("Node", "-file", "example.out", "-time", "-node", 4, "-dof", 1, 2, "disp") ops.analyze(1)
- 5. Outline 1. Python Interpreter 2.OpenSeesIDE 3. SimCenter
- 6. OpenSeesIDE An integrated developmentenvironment for developing OpenSees scripts. Contains: • File editor • Tcl Interpreter • 3d Renderer
- 9. Outline 1. Python Interpreter 2.OpenSeesIDE 3. SimCenter
- 10. A Nation atRisk from Natural Hazards Hurricanes Tornadoes Floods Tsunami Earthquake - High Earthquake - Moderate After: Crisis HQ (2012) NHERI 10
- 11. A Cyberinfrastructure forthe Natural Hazards Community 11
- 12. DesignSafe-ci.org Vision • ACI that is an integral and dynamic part of research discovery • Cloud-based tools that support the analysis, visualization, and integration of diverse data types – Key to unlocking the power of “big data” • Support end-to-end research workflows and the full research lifecycle, including data sharing/publishing • Enhance, amplify, and link the capabilities of the other NHERI components 12
- 13. DesignSafe-ci Cyberinfrastructure • DataDepot • Discovery Workspace 13
- 14.
- 15.
- 16. Discovery Workspace 16 • Simulationand analysis tools ‒ OpenSees, ADCIRC, OpenFOAM, Matlab, Paraview
- 17. The Simulation ApplicationsExperts Say We Need 17 Simulation Applications Identified: 1) Applications that generate Uncertainty in Response Quantities: • Earthquake • Wind • Water 2) Applications to perform Performance Based Engineering (PBE) 3) Applications for Community Resiliency
- 18.
- 19. Leadership Group Sanjay GovindjeeCamille Crittenden Frank McKenna Matt Schoettler UC Berkeley UC Berkeley UC Berkeley UC Berkeley Steve Mahin Ahsan Kareem Laura Lowes Greg Deierlein UC Berkeley Notre Dame Washington Stanford
- 20. The applications: 1) Applicationsthat generate UQ in Response Quantities: 2) Applications to perform Performance Based Engineering 3) Applications for Community Resiliency 5 Year Project BUT 10-20 Year Vision We are providing a Software Applications
- 21. UQ Tool: Dakota-FEM ApplicationDeveloped to demonstrate UQ to user. To allow user to take existing input files (not SAM), identify the parameters that should be considered as random variables, assign a distribution to those variables, define EDP parameters and obtain the UQ in the output.
- 22. • The applicationswill be developed using a new software framework. • A framework provides the developer a pre-defined set of interfaces and an existing set of components that will allow them to build an application. • The developer can extend the application by providing and integrating their own component as long as it meets the interface. • The applications our framework will enable are workflow applications in Natural Hazards Engineering. SimCenter Framework “A workflow application is a software application which automates … a process or processes” (Wikipedia) Basically we are combining multiple applications together to form super applications
- 23. SimCenter Workflow Applications OpenSeesof course is central to the framework!
- 24. 24 PBE Application SequenceDiagram
- 25. It’s all aboutdefining INTERFACES and FUNCTIONALITY of the applications. • Defining Common Interfaces for the applications, i.e. all take the same input and produce the same output, with accomodation for application specific information • Input & output files will be in JSON format. A number of file types: – BM – EVENT – SAM – EDP – DL
- 26. 26 BM GBI SIM XIMCIM columnLines floorLines Beams Columns Braces Walls Dampers Braces Sections Materials columnLines floorLines xPanels name #floor Area type location BM = Building Model GBI = General Building Info SIM = Structural Info Model XIM = eXternal Info Model CIM = Contents Info Model = composition (composed of) 1 0,1 0,1 0,1 Building Model (BM) RV 0,1
- 27. SAM –Structural AnalysisModel 27 SAM Node Element Material Section RV Uniform Normal Lognormal Beta Shifted Exponential Gamma Chi-Square Shifted Rayleigh Type I Largest Value Type I Smallest Value Type II Largest Value (also called F Type III Smallest Value Gumbel (same as Type I Largest Va Weibull (special case of Type III Sm Laplace Pareto Truncated Normal Triangular Inverse Gamma Wishart distribution Inverse Wishart distribution Shell Quad ForceBeamColumn ConcentratedHingeBeamColumn … = composition = inheritance Rvfield?
- 28. EDP – EngineeringDemand Parameters 28 EDP FloorDisp FloorAccel StoryDrift columnLine Floor data columnLine Floor data columnLine floor1 Floor2 data = Inheritance (is a) PanelPressure EDP = Engineering Demand Parameter columnLines[] floors[] data data: scalar or vector initially empty single values distribution (UQ)
- 29. 29 Event Earthquake Wind Hydro UniformRockOutcrop Regional BoreHole MultiSupport SoilLayer Herceles SW4 ActiveEvent RegionalSim DRM Lysmer Dr. Arthur Rodgers, Lawrence Livermore National Lab File DB Synthetic File DB Synthetic Event (boundary condition & forces for model) RV DispRecordAccelRecord
- 30. Event Earthquake Wind Hydro FileCFD (LES/RANS) CFD- MultiFidelity DB RV Event (boundary condition & forces for model) OpenFoam Virtual Wind tunnel Collaborators WRFCFD- MultiScale Weather Forecast Weather Event Other Codes
- 31. The Data isPassed Between APPLICATIONS • Given Inputs and Outputs, what are the applications to work on the DATA. – AI-M (BM,Event[]) -> SAM – FEM-UQ (BM,Event[],SAM)->EDP – DL (BM,Event[],SAM, EDP)->DL • Pre- and Post processors for a applications (python)
- 32. 32 AI-M AI-M-NoSIM AI-M-Sim KB-M • In5 years we cannot do all building types • Will return models for a limited set of structure: • Regular Steel and Concrete Moment Frames • Braced Frame Buildings • Shear Wall Buildings AI to return the FEM Model Description(s) using information in the knowledge base about how to model. The FEM Model Descriptions to contain information as to uncertain variables and information on credibility of the model. AI-M Prof. Xinzheng Lu, Tsinghua University, P.R. China
- 33. 33 KB-M Observational Data GEI BMEDP Event GBI SIM XIM CIM Numerical Simulation SAMEDP KB-M 0,1 0,111 DB will stores the relation between observational data and numerical simulation data AI-M can query the DB for these relations and the data, e.g. get observational data and associated numerical simulations for all concrete shear wall buildings. WE NEED EXPERIMENTAL TESTS AND SIMULATION INPUT FILES THAT ATTEMPT TO PREDICT THE RESPONSE MOOC
- 34. 34 FEM-UQ FEM-UQ-ENGINE Dakota RtMatlab Prof. TerjeHaukaas, University of British Columbia, Canada FEAPpv OpenSees ESSI FEM-UQ Prof. Boris Jeremic, UC Davis FEM
- 35. 35 DL Pact OpenSLAT Matlab Prof.Brendon Bradley, University of Canterbury, NZ. DL KB-DL Functions
- 36. Resilience • Ultimate goalto perform regional simulations and allow decision makers to make informed decisions as to best way to facilitate recovery from disaster • KB-BE + Regional Simulation + UrbanSIM (or other)
- 37. Integrating the Toolsto Develop and Evaluate Sustainability Plans 37 UrbanSim: A simulation platform for supporting planning and analysis of urban development, incorporating the interactions between land use, transportation, the economy, and the environment.
- 38. Exploring a ConnectedGraph of the Metropolis 38 Micro Macro
- 39. UrbanSim 39 Simulating individual choicessuch as household location, for entire populations, at an agent level.