Nonlinear Dynamic Response of Single-Degree-of-Freedom Systems Subjected to Along-Wind Loads. II: Implications for Structural Reliability
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
Part I of the two companion papers postulated and proved the capability of self-centering systems in controlling the wind-induced damage accumulations due to long-duration along-wind loads. The present Part II paper demonstrates the benefits of ductility-based wind design in terms of economics and safety through structural reliability analysis. Initially, for self-centering systems, the ductility demands are estimated for various levels of force reduction factors, structural damping, postyield stiffness ratio, natural frequency, and energy dissipation capacity. To reduce the computational cost of structural reliability analysis, empirical equations of the mean of peak ductility demands are derived in terms of the force reduction factor and natural frequency. In the reliability estimations, two limit states, the first significant yield and incipient collapse, are considered. Both analytical and simulation techniques are used to compute the failure probabilities by considering uncertainties in both the wind load effects and capacity. Overall, the results indicate that ductile self-centering systems could be designed for reduced along-wind loads and still achieve the minimum required safety level. The results also reveal that self-centering systems designed using the linear-elastic approach but additionally detailed for ductility have a significant reserve of safety against incipient collapse.
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 | 0.001 |
| 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