Bibliographic record
Abstract
The durability of fiberglass composite sheet piles in water was studied through the specimens cut from flanges and webs of pultruded sheet pile sections. The experiments were performed to evaluate the water absorption at ambient temperature in complete immersion, and its effect on the tensile properties and the freeze-thaw resistance of the saturated composites. The high temperature at 70°C was used to accelerate the tests, and 100°C (boiling water) to verify the state of saturation. The non-Fickian absorption behavior of the pultruded composites was modeled based on the Berens and Hopfenberg two-phase absorption theory to predict the long-term performance and the change in mechanical properties of saturated composites. The results indicated that the water absorption process of the pultruded sheet pile composites followed a combination of Fickian diffusion and polymeric relaxation. The percent absorption at saturation was about 1.72% for the flange and 3.11% for the web. The water absorption model predicted that saturation would be reached after 5.8 years for the flange and after 14.5 years for the web immersed in tap water at ambient temperature. The tensile strength was found to decrease initially with the increase in the percent water absorption, and finally stabilize at the state of saturation. On the other hand, there was no noticeable change in the tensile modulus of elasticity during the entire water-aging period. The saturated composites showed excellent resistance to freeze-thaw cycling from 4.4 to -17.8°C.
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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 | 0.000 |
| 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) | 0.001 | 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".