Super-Long Span Bridge Aerodynamics: First Results of the Numerical Benchmark Tests from Task Group 10
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Bibliographic record
Abstract
<p>The IABSE Task Group 10 (super-long span bridge aerodynamics) has the mandate to create a standard procedure for validation of methodology and software programs applied for stability and buffeting response analyses of super-long span bridges. Precise estimations of structural stability and response to strong winds are critical for the successful design of long-span bridges.</p><p>Task Group 10 covers several important problems related to its mandate including: review and verification of methods developed and adopted by researchers and bridge designers; the definition of guidelines and sample tests for verification and calibration of analytical procedures; identification of fundamental problems of the computation methods; relevant input and output data.</p><p>Since the beginning of its work, this working group has developed a 3-step benchmark, with multiple sub-steps of fundamental problems to resolve. The first step of this benchmark has been a numerical comparison of the results obtained using different models adopted across the workgroup members. Using the same inputs: flutter stability and the buffeting response of both a deck sectional model and a full bridge are studied. Step 2 will be the comparison of predicted results and experimental tests in wind tunnels, and Step 3 will be of validation against full scale measurements. In this paper, the results of Step 1 will be presented, highlighting critical issues and differences found during the comparison of results. The response of a 3-degrees of freedom bridge deck will be presented both in terms of aeroelastic stability and buffeting response. The results presented are intended to be a reference for the validation of methodologies and software programs that solve for wind response of bridges. </p>
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it