Physical and Numerical Modeling of Dynamic Soil-Structure Interaction
Bibliographic record
Abstract
A numerical model was developed to simulate the response of two instrumented, centrifuge model tests on soft clay. The centrifuge tests consist of a rigid containment to simulate the behavior of rectangular ten-storey buildings on 30 m uniform and layered soft soils. Each test model was subjected to several earthquake- like shaking events i.e. scaled versions of an artificial western Canada earthquake and the Port Island ground motion recorded during the 1995 Kobe Earthquake at a centrifugal acceleration level of 80g. The centrifuge model was simulated with the 3-D finite-difference-based Fast Lagrangian Analysis of Continua (FLAC) program. The results predicted with the use of nonlinear elastic—plastic models for the soil are shown to be in good agreement with measured acceleration, soil response, and structural behaviour. Numerical results were used to study the effect of soil layering and soil-structure interaction on foundation input motion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".