Inelastic Response Spectrum for Simplified Deformation-Based Seismic Vulnerability Assessment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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