IMPROVED UNIAXIAL BOUC-WEN MODEL FOR SEISMIC DYNAMIC RESPONSE ANALYSIS OF INELASTIC SYSTEM
Bibliographic record
Abstract
An improved uniaxial Bouc-Wen model was developed by taking the P-? and pinching effects,strength and stiffness degradations,as well as strain hardening into account.According to the nonlinear seismic dynamic responses of an inelastic single-degree-of-freedom(SDOF) system under 69 selected earthquake records,the influence of P-? effect on both the mean and coefficient of variation(COV) of seismic ductility demands were quantitatively investigated.The probability distribution type and prediction equation of seismic ductility demand for an inelastic SDOF system with P-? effect were also developed.The analysis results show that the P-? effect induced by the gravity affects significantly the seismic ductility demand,while the effect induced by the vertical seismic excitation is negligible.Linear correlation coefficients between seismic ductility demand and seismic parameters,such as the moment magnitude,epicentral distance and shear wave velocity,are usually unobvious.It also implies that for a short-period system the seismic ductility demand can be modeled as either a Lognormal or Frechet distribution variable,while for a long-period system,the Frechet distribution variable is preferred.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".