Automated detection of exposed reinforcement in post-earthquake safety and structural evaluations

ISEC 2011 - 6th International Structural Engineering and Construction Conference: Modern Methods and Advances in Structural Engineering and Construction

Volumn , Issue , 2011, Pages 337-342

  German, Stephanie ^a   Brilakis, Ioannis ^a   Desroches, Reginald ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Image processing; Post earthquake; Rebar detection; Safety assessment

Indexed keywords

BINARY IMAGES; CONCRETE CONSTRUCTION; CONCRETE REINFORCEMENTS; CONCRETES; EARTHQUAKES; IMAGE MATCHING; REINFORCEMENT; SAFETY ENGINEERING; STRUCTURAL DESIGN; TEMPLATE MATCHING;

ADAPTIVE THRESHOLDING; AUTOMATED DETECTION; BINARY TEMPLATE MATCHING; REBAR DETECTION; SAFETY ASSESSMENTS; STRUCTURAL ELEMENTS; STRUCTURAL ENGINEER; STRUCTURAL EVALUATION;

IMAGE PROCESSING;

EID: 84923120153     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3850/978-981-08-7920-4-S1-R04-cd     Document Type: Conference Paper

References (16)

1. Abdel-Qader, I., Pashaie-Rad, S., Abudayyeh, O. and Yehia, S., PCA-Based Algorithm for Unsupervised Bridge Crack Detection, Advances in Engineering Software, Elsevier, 37(12), 771-778, Dec, 2006.
2. Applied Technology Council (ATC), Earthquake Aftershocks - Entering Damaged Buildings, ATC- 35 Tech Brief 2, Redwood City, CA, 1999.
3. Carreno, M. L., Cardona, O. D. and Barbat, A. H., Computational Tool for Post-Earthquake Evaluation of Damage in Buildings, Earthquake Spectra, 26(1), 63-86, Feb, 2010.
4. Chock, G., ATC-20 Post-Earthquake Building Safety Evaluations Performed after the October 15, 2006 Hawaii Earthquakes, 2007.
5. Iyer, S. and Sinha, S. K., Segmentation of Pipe Images for Crack Detection in Buried Sewers, Computer-Aided Civil and Infrastructure Engineering, 21(6), 395-410, Aug, 2006.
6. Johnson, K., San Simeon Earthquake, City of Paso Robles Emergency Response Report, 2004.
7. Kamat, V. R. and El-Tawil, S., Evaluation of Augmented Reality for Rapid Assessment of Earthquake-Induced Building Damage, Journal of Computing in Civil Engineering, 21(5), 303-310, Sept/Oct, 2007.
8. Katz, J. M., Medals for Haiti Recovery, Little for Homeless, The Associated Press, July, 2010.
9. Kottapalli, V. A., Kiremidjian, A. S., Lynch, J. P., Carryer, E., Kenny, T. W., Law, K. H. and Lei, Y., Two-Tiered Wireless Sensor Network Architecture for Structural Health Monitoring, in SPIE's 10th Annual International Symposium on Smart Structures and Materials 5057, 8-19, San Diego, CA, 2003.
10. Liu, Z., Suandi, S. A., Ohashi, T. and Ejima, T., Tunnel Crack Detection and Classification System Based on Image Processing, in Machine Vision Applications in Industrial Inspection X, 4664, 145-152, San Jose, CA, 2002.
11. Prieto, R., The Three R's: Lessons Learned from September 11, 2001, Royal Academy of Engineering, London, 2002.
12. Sinha, S. K. and Fieguth, P., Automated Detection of Cracks in Buried Concrete Pipe Images, Automation in Construction, 15(1), 58-72, Jan, 2006.
13. United States Geological Survey (USGS), Earthquake Summary, Earthquake Hazards Program, Aug, 2010.
14. Yamaguchi, T. and Hashimoto, S., Fast Crack Detection Method for Large-Size Concrete Surface Images using Percolation-Based Image Processing, Machine Vision and Applications, 21(5), 797-809, Feb, 2009.
15. Yu, S. N., Jang, J. H. and Han, C. S., Auto Inspection System Using a Mobile Robot for Detecting Concrete Cracks in a Tunnel, Automation in Construction, Elsevier, 16(3), 255-261, May, 2007.
16. Zhu, Z. and Brilakis, I., Automated Detection of Concrete Columns from Visual Data, in Computing in Civil Engineering, 135-145, Austin, TX, June, 2009.