Andrew Kennedy University of Notre Dame Ning Lin Princeton University NSF CMMI 1314612 NSF CMMI 1314649 Project Overview Two major goals To collect perishable data on residential building damage levels failure modes and building characteristics elevation specific connectionsmembers f ID: 1003249
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1. Wave and Surge Structural Damage to Shorefront Residential Properties from Hurricane SandyAndrew KennedyUniversity of Notre DameNing LinPrinceton UniversityNSF CMMI 1314612NSF CMMI 1314649
2. Project OverviewTwo major goals:To collect perishable data on residential building damage levels, failure modes, and building characteristics (elevation, specific connections/members failed, age)To find damage gradients, and to identify and quantify their causesRegion around Ortley Beach/Seaside Park/Pelican Island, NJFive day field data collection, 5-8 field workers at a timeSupplemented by aerial and satellite photos, publicly available records, environmental data, numerical modelling
3. Geographic OverviewOrtley BeachHigh waves, surgePelican IslandSmaller WavesSouth Seaside ParkLargely ProtectedRutgers
4. Data CollectedHouse-by-house survey in target areasLat/LongHouse properties (wood/RC/#stories)Geotagged photosDamage descriptions and levelsMany subcategoriesHouse floor elevation Supplemental infoHouse ageAssessed value/losses (from tax records)Aerial/satellite photosMeasured environmental data during stormNumerical modeling of hydrodynamicsStill in progress■ 0-33% Damage■ 33-66%■ 67-100%
5. Sample Photos (of ~3900)Exposed Areas of Ortley BeachPelican Island
6. Sheltered Behind DuneSouth Seaside ParkExposed to Surge but not WavesOrtley New ConstructionOrtley Sliding Failure
7. Houses far from Ocean Survived BetterSome trends clear, but distance and age are not only factorsNeed hydrodynamic data to distinguish between conditions encountered by structure
8. Collaborative Geospatial-Enabled Data ManagementWeb-based system under development to collect all types of Sandy (and other) data sources under one umbrellaGeospatial Format – Grass GIS-basedSearchable DatabaseMeasured data: damage, HWM, etcModelsLinks to external sourcesData sharing and collaborationWill also be able to run some modelsWill be inviting others to join as site development matures
9. Data Points and Permanent Measuring Stations For Sandy
10. Part of Ortley Beach Dataset and Sample Popup
11. Example of External USGS HWM Data Point
12. Key Findings so FarPoor connections on (mostly) older houses leads to house slidingAlso on some newer housesMajor wave damage near shoreline, decreasing inlandMinor wind damage: mostly shingles, a few debris impactsDune sheltering of extreme importanceScattered scour damage in regionStandardization and consistency of damage estimates remains fluid
13. Continuing WorkIncreasing datasetsMainly survived/failed using satellite dataHydrodynamic SimulationsSWAN+ADCIRC (Westerink Group)Problems with lidar elevations post-stormIntegrating Sandy datasets onlineDamage reporting standardsLink to other storms: Ike in particularFragility CurvesDamage state vs hydrodynamics, building properties, etc.
14. Fragility Example from Hurricane IkeFragility (failure) increases strongly with increasing wave heightsOlder houses significantly more fragileHigher house elevations (higher FB) survive betterLower ElevationsHigher Elevations
15. Questions?Thanks to Tori Tomiczek, Margaret Owensby, Rich Estes, Luca Nagy, Trenton Jackson, Emmi Yonekura, Jonathan Glassman