Performance‐Based Seismic Design and Evaluation of Fused Steel Diagrid Frame
Bibliographic record
Abstract
A fused steel diagrid frame (FSDF) is an innovative earthquake resilient structural system. FSDF combines the steel diagrid structural system with shear links (SLs) and moment connections (MCs) to dissipate earthquake energy. SLs are placed between diamond‐shaped grid units and serve as the primary seismic force‐resisting system (SFRS). MCs provide the additional resistance as the secondary SFRS. To facilitate the design of the proposed FSDF system, a performance‐based equivalent energy design procedure (EEDP) is utilized to design a prototype building. EEDP allows designers to select multiple performance objectives under different earthquake hazard intensities. A detailed finite element model is developed to simulate the nonlinear dynamic response of the structure under earthquake shaking intensities. The results of nonlinear dynamic analyses show that the FSDF has superior seismic performance and can be efficiently designed using EEDP. Lastly, detailed collapse risk assessment of the prototype building utilizing the FSDF is conducted using the Federal Emergency Management Agency FEMA P695 (2009) methodology. The result shows that the EEDP‐designed FSDF has superior margin against collapse.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".