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NHERI SimCenter NHERI NHERI Computational Modeling and Simulation Center UCSD EF User Workshop December 12-13, 2016

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Page 1: NHERI Computational Modeling and Simulation Center

NHERISimCenterNHERI

NHERI Computational Modeling and Simulation Center

UCSD EFUser WorkshopDecember 12-13, 2016

Page 2: NHERI Computational Modeling and Simulation Center

NHERISimCenter

NHERI SimCenter Vision“Transforming the nation’s ability to understand and mitigate adverse effects of natural hazards on the

built environment through computational simulation”

Grounded in the presentFive year focusTen year vision

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Page 3: NHERI Computational Modeling and Simulation Center

NHERISimCenter

SimCenter MissionPivot to a comprehensive, open source, cloud-based, HPC framework or simulation “ecosystem” that: is modern, extensible, scalable, secure and robust, harnesses machine learning, artificial intelligence, expert

systems, self-assembling knowledge bases to help model, validate and build trust in numerical simulations,

quantifies the sensitivity of performance to various uncertainties,

is performance oriented and data-driven, and characterizes performance appropriately for different

stakeholders.

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Page 4: NHERI Computational Modeling and Simulation Center

NHERISimCenter

SimCenter Broader Goals• Treats all natural hazards equally. • Considers models at all scales.• Remembers cities are not just structures, includes

infrastructure, lifeline networks and social services.

• Integrates seamlessly with other NHERI components to ensure a functional and cohesive national infrastructure.

• Supports decision-making at all levels.

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Page 5: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Capable Leadership Team

Sanjay Govindjee Camille Crittenden Frank McKenna Matt SchoettlerUC Berkeley UC Berkeley UC Berkeley UC Berkeley

Steve Mahin Ahsan Kareem Laura Lowes Greg DeierleinUC Berkeley Notre Dame Washington Stanford

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Plus nearly 25 experts in engineering, urban planning, social science and computer and information science

Page 6: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Tackling the “Grand” Challengesposed by a Nation at Risk from Natural Hazards

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Hurricanes

Tornadoes

Floods

TsunamiEarthquake  ‐HighEarthquake ‐Moderate

Page 7: NHERI Computational Modeling and Simulation Center

NHERISimCenter 6

Probabilistic Assessment of:Cost of repair

and loss of function

DowntimeCasualtiesEmbodied

energy

Builds upon a solid performance-based, risk informed methodology

EDP

HPC simulationPerformance Databases

Fragility Functions

Consequence Functions

Engineering Seismology

Hazard Analysisand Mapping

Ground motion selection and scaling

Loss Assessment

Page 8: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Our plan: Transitioning from PCs to the cloudCurrent software is often good, but:• Regular software updating needed• Unable to scale to HPC,• Difficult to interact with and move data from one app to another.

• Move to cloud‐based HPC environment• Provide integrated “plug and play” 

capability to link multiple software apps together into workflows 7

Page 9: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Application of Applications Framework

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Page 10: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Application of Applications Framework

Courtesy: X‐Z Lu 

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Page 11: NHERI Computational Modeling and Simulation Center

NHERISimCenterPEER-NEES Blind Analysis Contest

Full-scale 1D tests of circular column -Jose Restrepo, PI (PEER, Caltrans, UNR, FHWA, NEES@UCSD, NEEScomm & NSF)

38%41 expert

teams participated

Test

Analysis

Trustworthy Simulations

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Page 12: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Natural Hazards Database

Simplified PBE Work Flow

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IM DMEDP DV

Ground Motion LibraryNGASCEC Other

Tsunami DatabasePEER Other

Wind Database

TBD

Other Natural Hazards Database

TBD

Page 13: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Simplified PBE Work Flow

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IM DMEDP DV

Simulation SoftwareAnalysis software 

supported by  DesignSafe‐ci

OpenSeesFEAP

LS‐DynaAbacusAnsys

OpenFoamOthers

Automated, data‐driven modeling and 

analysis

Extend or adapt to multiple hazards

Hybrid Simulation

Page 14: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Simplified PBEE Work Flow

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IM DMEDP DV

Expand PBE to Generic Facilities & Multiple Hazards• Buildings                                •   Wind• Industrial Facilities               •   Seismic• Lifelines                               •   Tsunami• Networks                               •   Other• Services

Page 15: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Simplified PBE Work Flow

IM DMEDP DV

Uncertainty Engine

Dakota

EDP, DV0        50%

     100%

Uncertainty quantification

Characterizing effects of uncertainties in theoretical constructs, numerical models, procedures & parameters, analysis methods, etc.

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Page 16: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Simplified PBE Work Flow

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IM DMEDP DV

Simulation SoftwareOpenSeesAbacusLS‐Dyna

CSI productsMatlabOthers

Ground Motion LibraryNGASCEC Other

Loss Calculation ToolsPACT, SP3, etc.

Optimize

Evaluate

Redesign

Wang and Mahin, 2016

Optimize design decisions to achieve EDP criteria, maximize return on investment, minimize repair costs or down times, etc.

Page 17: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Enabling complex workflows

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Ground MotionWorkflow

Seismic ResponseSimulationWorkflow

Seismic Loss

SimulationWorkflow

Tsunami/Coastal Inundation  GeneratorWorkflow

Tsunami / Coastal 

Inundation ResponseSimulationWorkflow

Tsunami / Coastal 

Inundation Loss

SimulationWorkflow

WindEffects

Workflow

WindResponseSimulationWorkflow

WindLoss

SimulationWorkflow

Page 18: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Enabling complex workflows

Ground MotionWorkflow

Seismic ResponseSimulationWorkflow

Seismic Loss

SimulationWorkflow

Tsunami/ Coastal 

Inundation  GeneratorWorkflow

Tsunami / Coastal 

Inundation ResponseSimulationWorkflow

Tsunami / Coastal 

Inundation Loss

SimulationWorkflow

WindEffects

Workflow

WindResponseSimulationWorkflow

WindLoss

SimulationWorkflow

Scenario Manager

Ground MotionWorkflow

Seismic ResponseSimulationWorkflow

Seismic Loss

SimulationWorkflow

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Page 19: NHERI Computational Modeling and Simulation Center

NHERISimCenter

If you can do this for one facility

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Portfolio and community simulation models          Lifeline, supply chain and service networks

X.Z. Lu

Copewell

Page 20: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Local and Regional Government PlanningDevelopment, Policies & Programs

(Source: Bay Conservation and Development Commission, 2009)

Decision Support ‐ UrbanSim

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Page 21: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Our goal is to define the interfaces so existing and future applications of the users choice can be used.

SimCenter Framework for Building Workflow Applications

input

outputoutput

input

Each component is a software application: it does something and has clearly defined interfaces (input and output APIs).

We will use Scientific Workflow Management Software to schedule components & manage the passing of data between the components. The software we will use is Pegasus.

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ExistingAppli‐cation

Preprocessor

Postprocessor

Page 22: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Facilitating complex regional-scale workflows

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Page 23: NHERI Computational Modeling and Simulation Center

NHERISimCenter

High profile early deliverablesTime needed to get the framework “backend”

developed

Year 1 Highlights• App 1: Integrated performance-based engineering

workflow application • App 2: Integrated uncertainty quantification workflow• Educational apps illustrating sensitivity of dynamic

response to excitation and structure characteristics.• Kick start education activities, including programming

boot camp and (M)OOCs (modeling best practices)• Development and assessment of framework building

blocks (metadata, ontologies, APIs, wrappers, user interfaces, etc.)

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Page 24: NHERI Computational Modeling and Simulation Center

NHERISimCenter

To Achieve OurBroad Vision for the SimCenter

We need your advice, help and collaboration, so we can effectively address

community needsOur framework is a skeleton, and needs

users to provide it with the data necessary to make it useful

We are happy to work with researchers and other NHERI Components in developing

proposals to use our framework and exploit capabilities of HPC

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Page 25: NHERI Computational Modeling and Simulation Center

NHERISimCenter

Thanks!

Questions?

• For more information contact: Stephen Mahin

[email protected]