Dynamic Analysis and Innovative Design of a Kilometer-Long Highway Bridge under Extreme Landslide Generated Wave Loading
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>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.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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