Software Team: Chris Navarro Shawn Hampton

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Presentation transcript:

http://maeviz.ncsa.uiuc.edu Software Team: Chris Navarro Shawn Hampton Jong Sung Lee Nathan Tolbert MAE Center PI Amr Elnashai MAEviz PI Bill Spencer Co-PI Jim Myers PM Terry McLaren http://maeviz.ncsa.uiuc.edu

MAEviz Presentation Overview MAEviz Overview MAEviz Demonstration

What is MAEviz? MAEviz is an extensible network aware application and environment MAEviz integrates spatial information, data, and visual information to perform risk assessment and analysis.

MAEviz Benefits MAEviz is a tool to coordinate planning and event mitigation, response, and recovery MAEviz provides framework to add new data and algorithms or update existing data and algorithms MAEviz connects the latest research and engineering practices to practitioners and decision makers MAEviz provides a mechanism to analyze “What if” scenarios MAEviz is Open Source

MAEviz Basic Design MAEviz primary goal is to analyze and visualize independent data sources Data Visualization Analysis Execution MAEviz leverages other Open Source Projects geotools.org/ vtk.org/ eclispe.org/rcp jasperreports.sourceforge.net/ JFreeChart sourceforge.net/projects/jfreechart Ktable sourceforge.net/projects/ktable/

Synchronized Data Views MAEviz – Quick View 2D & 3D Views Data Catalog Main Window Style Editor Synchronized Data Views Scenario Browser Result Charting

The MAEviz Model MAEviz Implements Consequence-Based Risk Management (CRM) Hazard Definition Inventory Selection . Fragility Models Damage Prediction Inputs - Hazards, Inventory, Fragility Models Output - Damage Prediction, Reporting, Decision Support . Decision Support

MAEviz Inputs - Hazards Hazards Source USGS maps & Maps generated from attenuation relationships may be scenario or probabilistic Scenario Earthquake Source: Scientific community Deterministic calculation, the user selects an appropriate attenuation relationship. Attenuation Function Applicable Region / Event Campbell and Bozorgnia 2006 Boore and Atkinson 2006 Chiou and Youngs 2006 New Generation Attenuation (NGA) Atkinson and Boore (1995) Toro et al (1997) Frankel et al (1996) Campbell (2002) Sommerville et al (2002) CEUS Abrahamson and Silva (1997): Hanging Wall Sadigh, Chang, Egan, Makdisi, and Young (1997) Boore, Joyner and Fumal (1997) Spudich et al. (1999) Campbell & Bozorgnia (2003) WUS Shallow Crustal Event - Extensional Event – Non-Extensional Youngs, Chiou, Silva and Humphrey (1997) WUS Cascadia Subduction Event Kalkan and Gulkan 2004 Ozbey et al 2004 Ulusay et al. 2004 Turkey

MAEviz Input - Inventory, Terrain, Networks Source - Public data, Tax assessor data or inferences from aerial photography Inventory - buildings, bridges, pipelines, dams, hospitals, power plants, etc Terrain – satellite digital terrain maps for any region anywhere Network information - transportation, gas, water, electricity, telecommunications, etc.

MAEviz Input - Fragilities Source of fragilities scientific data, research papers, derived from observations, experiments or simulations Engineering Models Fragility Dependent on the inventory content evaluate probability of reaching limit states of damage Social-Economic Models Fragility Uses relationships between physical and socio-economic losses to establish impact society Engineering Damage Limit State

MAEviz Analyses - Overview Approximately 40 Analyses to-date Analysis Types Include: Building Bridge Hazard Lifeline Socioeconomic

Building and Bridge Analyses Cost Benefit Analysis * Direct Economic Damage Liquefaction Analysis (HAZUS) Liquefaction Analysis (Memphis, TN only) Non-Structural and Content Damage (generalized) Repair Cost * Retrofit Cost Estimation Structural Damage Bridge Cost Benefit Analysis * Damage Functionality Repair Cost * Retrofit Cost Estimation * * Unique to MAEviz

Decision Support & GIS Analyses Equivalent Cost * Multi Attribute Utility * Network Based Seismic Retrofit Analysis * Utility Analysis * GIS Aggregate features to regions Digital Elevation Model Slope Map Overlay: Intersection * Unique to MAEviz

Hazard and Lifeline Analyses Create Scenario Earthquake Generate Liquefaction Potential Index (LPI) Map (Shelby, TN) Lifeline Buried Pipeline Damage Electric Power Facility Damage (HAZUS Style) Electric Power Plant Loss Electric Substation Damage Potable Water Facility Damage (HAZUS Style) Utility Network Builder * Water Tank Damage * Unique to MAEviz

Socioeconomic Analyses Business Content Loss Business Interruption Loss Business Inventory Loss Fiscal Impact * Household and Population Dislocation Shelter Requirements Short Term Shelter Needs Social Vulnerability * * Unique to MAEviz

MAEviz - Analysis View Easy to understand the analysis workflow User configurable analysis defaults Users can run multiple analyses simultaneously

MAEviz Reporting Multiple Report Types Generates PDF, HTML, Excel, …

Decision Support - Data Aggregation Building Dataset Memphis Building Inventory (w/out single family homes) Event Magnitude 7.9 Earthquake at Blytheville, AR Analysis Equivalent Cost Analysis Death = $5,000,000 per Injury = $1,500,000 per Function loss = $100,000 per sq. ft. per day Monetary Loss by Census Tract Deaths ($) by Census Tract Injuries ($) by Census Tract

Save Scenarios and Analysis Templates Scenarios are automatically saved with all user input and preferences Scenarios can be published for peer review Analysis templates can be saved with settings Users can change one parameter and compare results

Future Directions Temporary Housing Algorithm HAZUS Data Integration HAZUS Lifeline Analyses Dynamic Traffic Modeling Analysis Validation Framework Data Provenance Common Visualization Layer Custom Report Generation

Demo Outline Building Damage Analysis Compute physical damage to determine economic loss Economic Loss & Population Dislocation Compute economic loss to determine population dislocation

Structural Damage Structural Damage Analysis Result Comparison Inventory RES3 structures Hazard 7.9 Blytheville event Demonstrating inverse analysis development Starting from damage (the result), we need a hazard input Result Comparison Damage with and without hazard uncertainty Select fields to compare

Damage Analysis Demo

Economic Loss & Dislocation Demonstrating forward analysis development Start at building damage with uncertainty and work forward to Economic loss Adjust loss for inflation Population Dislocation Economic loss with hazard uncertainty Demographic information Explore distribution of attributes Mean, Sum, etc of attribute fields Display histogram

Economic Loss & Dislocation Demo

Conclusion MAEviz modular and extensible and can support other analyses and hazard types (water, wind, etc.) MAEviz is a next-generation collaborative environment to link research and engineering to decision makers MAEviz represents new era of analysis and risk assessment tools Continued open source development will only improve the capabilities available to the community MAEviz is a platform for continuing community development in risk mitigation analysis

Thank you Questions? Comments? Discussion

http://maeviz.ncsa.uiuc.edu Software Team: Chris Navarro Shawn Hampton Jong Sung Lee Nathan Tolbert MAE Center PI Amr Elnashai MAEviz PI Bill Spencer Co-PI Jim Myers PM Terry McLaren http://maeviz.ncsa.uiuc.edu