Efficient performance‐based design using parallel and cloud computing
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
Summary Performance‐based design offers a more direct, non‐prescriptive and rational approach over more traditional approaches used for the design of buildings and other structures. However, performance‐based design requires the use of extensive nonlinear analyses on three‐dimensional building models and typically requires significant computational capabilities and/or time to conduct such analyses. A practical way to overcome these limitations is to utilize recent advantages in parallel computing using cloud‐based servers to conduct the necessary analyses. This approach can be used as a cost‐effective way to conduct structural analyses in a fraction of the time compared with traditional computational methods. This paper explores the use of parallel and cloud computing in the performance‐based design and analysis of tall buildings. Two case studies are presented that highlight the application of high‐performance computing for the nonlinear dynamic analysis of a detailed 52‐story building model. These case studies highlight both the cost and time benefits provided by high‐performance computing for performance‐based earthquake engineering. Copyright © 2015 John Wiley & Sons, Ltd.
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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