Comparative Study of Topologically Optimized Bridge Girders Considering Static and Cyclic Loads
Bibliographic record
Abstract
Topology optimization is a mathematical method which spatially optimizes the distribution of material within a defined domain based on given constraints, boundary conditions and a predefined cost function.It is adopted herein to investigate simply supported concrete beams with different cross-sections and spans.The objective is to find the greatest reduction in concrete volume for RC beams subjected to static and cyclic loads.A 3D parametric beam model is constructed using the Algorithm-Aided Design (AAD) Grasshopper, which is integrated with the plugins Topos, based on the SIMP methodology and Karamba3D, based on the BESO methodology.The model is plugged to Galapagos, a genetic algorithm plugin of Grasshopper, which allows the search automation of the minimum volume of beams with spans between 5 m to 20 m, considering rectangular, T and I sections.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".