The effect of construction designs on temperature field of a roller compacted concrete dam — a simulation analysis by a finite element method
Bibliographic record
Abstract
In this paper a numerical simulation of the construction process of roller compacted concrete (RCC) dams is presented. The following features of construction of mass concrete have been considered: hydration heat, age, placing temperature, starting placement date, and placing speed. A 3-D finite element model of the Long-Tan RCC dam, which is to be built in the Guangxi Autonomous Region in China, was analyzed. Temperature distribution and evolution inside the RCC dam were calculated during and after the completion of the dam. Using Fortran TM code, a 3-D thermal simulation analysis of a high RCC dam can be realized on a computer at the construction site. Based on the real factors during the construction period, engineers can predict the distribution of temperature in the RCC dam. Therefore, engineers can take appropriate measures to control concrete temperature to reduce thermal stress within the dam. The effects of the concrete placing temperature, construction speed, and starting date on the temperature are discussed. It has been found that the maximum temperature in a dam can be reduced by 20% through temperature control measures.Key words: RCC dam, thermal simulation analysis, finite element method, temperature field, construction schedule.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".