Random Seismic Response and Dynamic Reliability Analysis of Frame with Prestressed Anchors for Slope Stability
Bibliographic record
Abstract
In order to simplify the random seismic response analysis and dynamic reliability calculation method of the frame with prestressed anchor for slope anchor structure,and improve the calculation efficiency,the pseudo-excitation method was adopted to analyze random seismic response of anchor for slope anchor structure,and the power spectrum of seismic response of the frame with prestressed anchor was obtained.The improved dynamic reliability calculation method was presented,an engineering example was conducted to verify the effectiveness and reliability,and the proposed method was compared with Monte-Carlo method.The results show that the physical concept of proposed analysis model is clear,which is a rapid,accurate and practicalanalysis method.The proposed method lays the theoretical basis and provides a new calculation way for dynamic reliability calculation and random seismic response analysis of frame with prestressed anchor for slope stability.Random seismic response increases gradually with the slope height,and the extremum occurs at the upper part of slopes.Anchorage structure dynamic response peak increases with the increase of reliability index.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".