Theoretical study on the design of improved dynamic characteristics of wind-resistant performance of large-span steel structures based on topology optimization
Bibliographic record
Abstract
Large-span steel structures are prone to wind vibration under wind loads, which affects the safety and performance of the structure, and wind vibration control is the key to its design.This paper takes the large-span steel structure as the research object, firstly introduces the theory and method related to wind vibration control analysis, constructs the topology-optimized inertial capacitance dampercontrolled wind vibration response dynamic equation of super high-rise building to analyze the influence law of wind speed and wind direction on the dynamic characteristics of the structure, and then further strengthens the vibration control ability of the structure through reasonable arrangement and parameter adjustment.The deformation of ETABS model in y-direction is larger than that in xdirection under 50-year wind load, and the maximum displacements in y-and x-directions are 18.72 mm and 11.65 mm, respectively.The y-direction interstory displacement angle meets the code requirement limit (2.6510-4).The amplitude of the acceleration time-range curve of its top floor structure is between 0.08, which meets the requirements for comfort.The optimization of the reinforcement layer using continuum topology optimization is better than the optimization of the optimal location arrangement according to finite element software.The results of node displacements and inter-story displacement angles of each story of the modified structural model under wind load meet the limits of top story displacement and inter-story displacement angle, and the performances are similar to those of the extended-arm truss structural model.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".