Probabilistic Seismic Loss Assessment of a Vancouver High-Rise Building
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
A seismic loss curve of a real-world building is obtained by means of state-of-the-art models for the impending ground motion, the structure, the damage of structural and nonstructural components, and the ensuing losses. In particular, the seismic hazard at the building’s location (Vancouver, Canada) is described by a comprehensive probabilistic model. It is argued that this ground motion model is particularly appropriate in reliability analysis compared with the more common utilization of a limited set of scaled ground motions. In this paper the probabilistic integrals are carried out by means of a reliability formulation, in which a series of probabilistic models enter. This is referred to as unified reliability analysis to contrast the unified format of the probabilistic models with alternatives, such as suites of ground motions and fragility curves that themselves are created by reliability analysis. A key contribution in this paper is the comprehensive numerical example, which entails an inelastic dynamic analysis of a finite-element model of a building located in Vancouver.
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 | 0.000 | 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