2010 Annual Meeting Recognition
Concrete Column Blind Prediction Contest Winners
PEER and NEES held a blind prediction contest for a full-scale reinforced concrete bridge column which was tested in September 2010 on the NEES Large High-Performance Outdoor Shake Table located at the University of California, San Diego's (UCSD) Englekirk Structural Engineering Center. The bridge column was subjected to increasing intensity of uniaxial earthquake ground motions. The prediction contest compared analytical response “predictions” with those measured during experimental testing.
The contest was open to teams from both the practicing structural engineering community and the academic research community. More than 50 teams registered for the contest and 41 teams submitted complete entries. The contest applicants were asked to predict the global and local response of the specimen to six different earthquake records, including the failure mode, maximum displacement, moment demand, acceleration, shear force, axial force, curvature, strain, residual displacement and several other parameters. Winning submissions from each community (academic research and engineering professional) were recognized and awarded during Quake Summit 2010, the joint annual meeting for NEES and PEER in a special plenary session on the Blind Analysis Contest.
Because the actual loading was determined during the course of the testing based on observed response, the contest featured two parts: pre-test analysis and prediction based on anticipated earthquake loadings, and post-test analysis and prediction using the actual loadings from the experimental test. The analytical column model for the post-test analysis had to be identical with that for the pre-test analysis. The closest predictions to the test results won, based on the posted rules.
Engineering Professional Category Winners:
Academic Researcher Category Winner:
In recognition of the many excellent submissions, the judges identified six other entries that are being recognized for their excellence in being able to predict the broad array of response parameters required of the contestants. These Award of Excellence winners are listed alphabetically below, as each predicted some important parameters better than others, but each achieved a superior level of fidelity to the test results.
The judges noted some interesting trends in the results, suggesting that certain types of modeling approaches are better able to predict certain response parameters, while other approaches do better at simulating other parameters. PEER is currently compiling the results of the contest and a final report will be issued that identifies the trends observed.For more information about the contest including the experimental results and data, please visit: Concrete Column Blind Prediction Contest 2010.