Seismic response of pile-cohesive soil-bridge from shaking table array tests
Bibliographic record
Abstract
Shake table tests with a pile-soil-bridge model were conducted on a shaking table array system to evaluate the influence of ground motion characteristics on the seismic response of a section of a bridge. Three ground motions with different earthquake characteristics (El Centro, Tianjin, and Wolong) were used as input to examine their effects on the piled foundation-bridge system. The ground motions were scaled at three intensity levels (PGA: 0.15g, 0.45g, and 0.60g) to investigate the impact of intensity on the bridge model's response. The tests were carried out using an array of four shaking tables arranged in a rectangular configuration. The foundation-bridge model, made of organic glass, was placed in a cohesive soil bed enclosed in a rigid box with dimensions of 3.93 × 3.52 × 1.24 m (length × width × height). The results showed that the pile-soil-bridge response was sensitive to the spectral characteristics of the seismic waves under uniform excitations. The bridge deck exhibited varying levels of acceleration amplification compared to the input motion across different ground motions at the same intensity levels. Differences in motion characteristics also led to significant variations in the acceleration and displacement responses of the piles, pier, and deck. • Extensive shake table tests were conducted on bridge-pile-soil foundation model employing multi shake tables. • The variation patterns of the natural frequency and damping ratio of the model soil were more complex compared to the bridge and the entire pile-soil-bridge system. • The variations in amplitude recorded by sensors on the piles and in the surrounding soil suggest complex kinematic interaction effects that influence vibration intensity at different locations. • Under the same conditions, the maximum displacement recorded under Tianjin motion was the largest, followed by the El Centro motion, and then the Wolong motion. • The acceleration responses of the system and its components are sensitive to the spectral characteristics of seismic waves.
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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".