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Using HDS to Assess the Effects of the Haiti Earthquake on Various Types of Structures

Using HDS to Assess the Effects of the Haiti Earthquake on Various Types of Structures. Shakhzod Takhirov and Khalid Mosalam nees@berkeley and PEER University of California, Berkeley. High-Definition Leica Laser Scanners. Scan Station 2 1 unit was acquired in 2008

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Using HDS to Assess the Effects of the Haiti Earthquake on Various Types of Structures

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  1. Using HDS to Assess the Effects of the Haiti Earthquake on Various Types of Structures Shakhzod Takhirov and Khalid Mosalam nees@berkeley and PEER University of California, Berkeley

  2. High-Definition Leica Laser Scanners Scan Station 2 • 1 unit was acquired in 2008 • Single-point range accuracy of ±4mm • Angular accuracies of ± 60 micro-radians • Laser beam spot size of 4mm from 0-50m range • Field of view: 360° x 270°. • Built-in camera for taking snap shots of the object and specifying scan zones • Cyclone software application

  3. Background: Wood-Frame Building Evaluation after Earthquake Wood-Frame Building Test: Before and After Scans • 4-5 scans in each conditions • At least 4 reference targets for each scan • Best resolution: 1000x1000 points • Scans stitched together based on the reference targets

  4. Background: Wood-Frame Building Evaluation after Earthquake Wood-Frame Building Test: Before and After Scans • Contour of deformed shape of the north wall

  5. Background: Wood-Frame Building Evaluation after Earthquake Before and After Scans • Compare vertical slices of building before and after • HDS point cloud well correlates to transducer data

  6. Background: Wood-Frame Building Evaluation after Earthquake Before and After Scans • Compare horizontal slices of building before and after • HDS point cloud well correlates with transducer data

  7. Background: Long Range Leica vs. Short Range Konica Minolta • Several individual scans from all sides of a specimen were obtained • Stitched together in application supplied by the scanner manufacturer (Cyclone and Polygon) • 3D image of the specimen is generated

  8. Background: Long Range Leica vs. Short Range Konica Minolta Longitudinal slices: • Scan Station 2 (slice thickness 4 mm: scan range ~ 10 m) • Vivid 910 (slice thickness 1 mm: scan range < 1m)

  9. Background: Long Range Leica vs. Short Range Konica Minolta Transverse section: • Scan Station 2 (slice thickness 4 mm: scan range ~ 10 m) • Vivid 910 (slice thickness 1 mm: scan range < 1m)

  10. Background: Long Range Leica vs. Short Range Konica Minolta Points cloud from Vivid 910 scanner: • Transverse sections with position transducer readings • Longitudinal sections with position transducer readings

  11. Structural Damage Assessment in Haiti More than 20 structures were scanned For each scan position a panorama was generated

  12. Structural Damage Assessment in Haiti Environmental conditions on the sites

  13. Structural Damage Assessment in Haiti Bridge damaged during the earthquake was scanned from 2 positions

  14. Structural Damage Assessment in Haiti 3D panoramic view of the bridge from Station 2.

  15. Structural Damage Assessment in Haiti 1 2 3 4 The cross sections of the shear key (images #1 and 2) at it face is shown in image #3. The section taken at the middle of the shear key is shown in image 4 with zoomed view shown in image 5. 5

  16. Structural Damage Assessment in Haiti Registration of Asscotia Hotel and nearby intersection

  17. Structural Damage Assessment in Haiti Two horizontal sections at the 1st story of Asscotia Hotel are reduced in Matlab and overlaid on top of the building image in Google Earth

  18. Structural Damage Assessment in Haiti Clicking on balloon with Cal sign will bring interactive panoramic movie of the building and its surrounding (user can look around the shooting point and zoom into certain details)

  19. Structural Damage Assessment in Haiti Clicking on balloon with Cal sign will bring interactive image that contains links to points clouds generated by the laser scanner (TruView), so measurements of the objects can be performed

  20. Structural Damage Assessment in Haiti Points with colors based on deviation of columns from a vertical plane show residual deformation of south wall of Asscotia Hotel

  21. Structural Damage Assessment in Haiti Residual drift and directivity is estimated from the difference of the top and bottom slices

  22. Structural Damage Assessment in Haiti Two horizontal sections at the 1st story of Asscotia Hotel were reduced in Matlab and overlaid on top of the building image in Google Earth showing calculated residual drifts in the columns

  23. Structural Damage Assessment in Haiti: Validation Corner beam-column specimen for a study on non-ductile RC frames

  24. Structural Damage Assessment in Haiti: Validation Validation of the technique in the lab conditions: digital level readings were 10.82% (top) and 11.82% (bottom)

  25. Structural Damage Assessment in Haiti Block 7 from Google Earth imagery taken on January 25, 2010

  26. Structural Damage Assessment in Haiti 1st building at south-east corner In opposite to conventional ground surveillance laser scans quantify the degree of permanent damage and its directivity Ground observations presented by Eduardo Fierro

  27. Structural Damage Assessment in Haiti 2nd building at south-east corner In opposite to conventional ground surveillance laser scans quantify the degree of permanent damage and its directivity Ground observations presented by Eduardo Fierro

  28. Structural Damage Assessment in Haiti Overall residual drift and directivity is estimated from the difference of the top and bottom slices for Asscotia Hotel

  29. Thank you! The authors acknowledge the financial support, Award # 1034808, from the National Science Foundation through the RAPID Program. Thanks are due to Mr. E. Fierro and Prof. E. Miranda for being members of the reconnaissance team. The following PEER/nees@berkeley summer interns: Victoria Servin, Clay Sorensen, and Sean Wade, contributed to the pre- and post-field work using the laser scanners. Their help is gratefully acknowledged. http://nees.berkeley.edu

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