STRUCTURAL AND LIFE CYCLE ANALYSES FOR A TIMBER-CONCRETE HYBRID BUILDING
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The concerns related to the impact of construction materials are increasing globally. Timber-based hybrid buildings combine the structural benefits of multiple materials, reduce the carbon footprint, shorten construction times, and potentially improve seismic and building physics performances. In this paper, a ten-story timber-concrete hybrid building, designed for a location in the Guizhou Province, China, is compared to a pure concrete building. The structural analysis showed that the self-weight of the hybrid structure was reduced by 30% compared with the concrete structure, and the base shear forces in X-and Y-directions decreased by 43% and 29%, respectively. The life-cycle analysis showed that hybrid building had lower impacts than the concrete building in six categories: global warming potential, acidification potential, human health particulate, eutrophication potential, ozone depletion potential, and photochemical ozone formation potential. Specifically, in terms of global warming potential, the hybrid building had nearly 65% lower emissions, and the wood components have the additional advantage to store carbon over their lifetime. These results promote the development and application of high-rise timber-based hybrid buildings in China.
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.
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 it