Inelastic Response Spectrum for Simplified Deformation-Based Seismic Vulnerability Assessment
Bibliographic record
Abstract
Recent studies on simplified vulnerability assessment used displacement response spectra for describing earthquake ground motions, driven by the premise that a good correlation exists between displacement and damage. The use of response spectra represents a better description for the ground motion as compared to the use of single instrumental parameters or macroscopic intensity scales. In such studies, relationships between period and displacement capacity for a particular class of buildings for different limit states are compared with a displacement response spectrum representing the demand. However, the focus of such studies has been on the derivation of the capacity relationships. A new and rational method for constructing constant ductility response spectra based on constant yield displacement load-deformation model is presented. The conceptual difference between conventional and proposed spectra is emphasized. The merit of the proposed spectra is demonstrated through its use in describing the seismic demand within a simplified vulnerability assessment procedure. Refinement is made to the derivation of the capacity curves for different limit states to match the concept adopted in developing the demand. Furthermore, the final softening damage index is incorporated in the definition of various limit states.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".