Assessment of the Compression Properties of Different Giant Bamboo Species for Sustainable Construction
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Bibliographic record
Abstract
In this study, compression mechanical properties of five giant bamboo species from different continents were investigated based on the ISO 22157:2019 standard. The selected species have been used for rural construction for centuries. The chosen bamboo species for this study, which are considered strong candidates to be used in modern construction as well, are as follows: Phyllostachys edulis (Moso), Guadua angustifolia (Guadua), Gigantochloa apus (Tali), Gigantochloa atroviolacea (Black Java), and Phyllostachys bambusoides (Madake). The excellent properties of bamboo species in tension are well established. Hence, this article principally focuses on the behaviour of selected giant species in compression to be used as structural members. In this study, the mentioned bamboo species were gathered from different continents of origin to be critically assessed, analysed, and compared with one another to better understand their compression behaviour as structural columns. The compression properties of these bamboo species have not been evaluated and compared with one another in an academic study so far. The results show that all tested species were able to provide mean compressive strengths greater than 50 MPa, which makes them highly promising construction material candidates for modern construction. The Guadua test series was able to provide outstanding consistency in the presented compression behaviour and strengths among all the tested species. The specimens with the maximum sustained load belonged to the Tali species. The greatest average failure load belonged to the Moso species. The greatest mean compressive strength measured was 88.9 MPa, reported for Madake species with smaller diameters compared to the other test series. Among the specimens with larger diameters, the greatest mean ultimate strengths were for Moso, Guadua, and Tali species with 69.9 MPa, 60.7 MPa, and 59.1 MPa compressive strengths, respectively.
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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