Numerical Simulation of Construction Process of Large Building Project Based on Discrete Element Method
Bibliographic record
Abstract
Assembling integrated concrete cutting construction technology is a kind of construction engineering means commonly used in large stadiums at present. The advantage of this method lies in that it is connected by reinforcing bars, connecting pieces or applying prestress and pouring concrete members on site, which significantly enhances the mechanical resistance of construction engineering. And milling and planing machine as a large stadium assembly integrated concrete cutting construction indispensable important engineering machinery, its demand continues to grow, domestic independent research and development of high-performance milling and planing machine is urgent. Based on three-dimensional discrete element method model conforms to the macroscopic mechanical properties of the road, establish milling planer operation simulation model of quantitative stadium assembled monolithic concrete construction process of milling planer cutting resistance, using uniaxial compression and splitting tensile test to determine the compressive modulus of asphalt concrete pavement and tensile modulus, obtain the macro level check micro contact connection parameters. Discrete element specimens with coarse aggregate of irregular shape are generated by using the algorithm of 3d discrete element software PFC3D. Through the establishment of kinematics model, the critical condition expression of vibration planer is deduced, and the improvement of the working process force by adding different vibration modes is studied, so as to calculate the optimal combination value of vibration planer amplitude and vibration frequency, and obtain the better vibration mode of milling planer.
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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 | 0.000 | 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 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".