Diffusion and sorption of volatile organic compounds through soil-cement materials
Bibliographic record
Abstract
This paper presents a laboratory study that assesses the diffusive and sorptive parameters of three volatile organic compounds (benzene, ethylbenzene and trichloroethylene) though cured, monolithic soil-cement materials. A double-reservoir diffusion test setup is used to determine the effective diffusion coefficient (D e ) and distribution coefficient (K d ) for laboratory-prepared soil-cement specimens at three water-to-cement ratios. Batch testing was also performed to provide a measure of the distribution coefficient independent of the diffusion testing. Values of K d determined from batch testing, diffusion testing and theoretical estimates from the literature ranged from 0 to 1·3 cm 3 /g and were in general agreement. Values of D e determined from laboratory testing ranged from 1·50 × 10 −10 m 2 /s to 3·0 × 10 −10 m 2 /s. Practical applications of the laboratory testing methodology and results are discussed with respect to how they may be used in the pre-design and design phases of cement solidification/stabilisation (s/s) treatment. An illustrative example shows how the laboratory testing results could be used to estimate contaminant transport from a site and to provide an indication of the relative importance of the diffusive and sorptive parameters obtained from laboratory testing.
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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) | 0.000 | 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 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".