Analysis Method for the Response of Structures Subjected to Non - stationary Seismic Excitations
Why this work is in the frame
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Bibliographic record
Abstract
A fast analysis approach was developed to improve the computational efficiency of seismic analysis for structures under non-stationary seismic excitations. A high-pier railway bridge was selected as a case study to evaluate the proposed fast approach. First, non-stationary excitation was translated into a series of deterministic transient analyses. Second, a modified high-precision integration method was introduced to reduce the number of transient analyses to two. Finally, a seismic response analysis of the high-pier railway bridge subjected to non-stationary ground motions was conducted with the secondary development platform of the general finite element software ANSYS. The fast analysis technique and ANSYS were combined. The results show the proposed fast analysis technique can model seismic non-stationary and spatial variability and can be easily extended to practical engineering applications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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