Development and Analysis of Prefabricated Concrete Buildings in Chengdu, China
Bibliographic record
Abstract
Prefabricated construction is an inevitable trend in the reform of modern construction, playing an important role in sustainable development and conserving resources. Based on field investigation, questionnaire survey, and the collection and analysis of relevant data, the prefabricated concrete buildings of Chengdu (China) were researched. The development status of prefabricated concrete buildings, production base of prefabricated components, price of precast concrete, and the scale of building construction industry were analyzed and studied. The development obstacles of the prefabricated concrete building were presented and relevant suggestions were provided. The research shows that the production base of prefabricated component is reasonably laid out by forming a radiation circle with the reasonable radius. The price of the prefabricated component is controlled by the average reduction of 1039.8 yuan/m 3 , and the proportion of prefabricated concrete buildings is adjusted by an increase of 8% to 10% per year. This can promote the development of prefabricated concrete buildings in Chengdu. The incomplete standardization system is the most serious development obstacle, and the establishment of local standards is an effective development proposal. This research provides a reference for the development of prefabricated concrete buildings in large and medium-sized cities.
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.
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 | 0.001 | 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) | 0.000 | 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".