Dynamic Analysis and Innovative Design of a Kilometer-Long Highway Bridge under Extreme Landslide Generated Wave Loading
Bibliographic record
Abstract
This paper focuses on the dynamic analysis and innovative design of a 1042 m long highway bridge under extreme Landslide Generated Wave (LGW) impact loading. The proposed bridge crosses a deep and wide river valley which will become a part of a large reservoir after a hydroelectric dam is constructed. A rare extreme landslide event could occur and generate fast-moving waves in the reservoir impinging large forces on the bridge. To investigate the wave impact loadings on the bridge, three-dimensional Computational Fluid Dynamics (CFD) modeling of wave propagations were completed by hydrotechnical specialists, which were then used to analyze the structural dynamic response and to obtain force and displacement demands for structural design via a time- stepping analysis of the bridge structure. The innovative design included the use of non-uniform single circular-shaped pier columns supported on a hexagon-shaped pile cap with axisymmetrically configured rock-socketed steel pipe piles to address directional uncertainty associated with LGW. The bridge is currently under construction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".