Compression, Tension, and Fracture Energy Properties of Compressed Cement-Stabilized Earth Blocks
Bibliographic record
Abstract
This paper presents the recent experimental findings related to mechanical properties of compressed cement-stabilized earth blocks (CSEBs), prepared using indigenous soil from Hamilton County in Nebraska (United States) and manufactured using a manual model of the CINVA-Ram soil brick compression machine. A total of 56 specimens were tested to allow for a meaningful statistical assessment of the results. First, uniaxial compression tests were performed on individual blocks utilizing two materials that allow for varying degrees of lateral expansion: plywood and rubber capping. Then, the flexural tensile strength and fracture energy parameters were obtained from three-point bending testing. Under compression, capped with plywood, the blocks had an average strength of 6.09MPa, whereas the blocks capped with rubber had an average strength of 4.22 MPa, presenting a 30% reduction in estimated compressive strength when the material has allowed greater lateral expansion. Moreover, flexural testing was conducted on notched blocks with a notch-to-depth ratio of 0.5. The average flexural tensile strength (modulus of rupture) of these specimens was obtained as 1.28 MPa with an average fracture energy value of 13.98 N/m. These material properties are key to numerical modeling and analysis of individual blocks constructed with these novel and special-recipe materials, which are not adequately reported in the literature. This technical note contributes to the state-of-the-art by providing the most recent findings of strength parameters for researchers to utilize in their studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".