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Record W2054654724 · doi:10.1139/l99-081

Characterization and use of pulp mill fly ash and lime by-products as road construction amendments

2000· article· en· W2054654724 on OpenAlexvenueno aff
Hongde Zhou, Daniel W. Smith, David C. Sego

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLimeFly ashWaste managementEnvironmental sciencePaper millMunicipal solid wasteAmendmentCalifornia bearing ratioCompactionIndustrial wasteSoil waterEngineeringEffluentGeotechnical engineeringMaterials science

Abstract

fetched live from OpenAlex

Fly ash and lime by-products are the two main waste streams generated by the pulp and paper industry. Traditionally, these wastes are disposed of either in surface impoundment or landfills. Greater environmental concerns and limited land availability have made these disposal practices increasingly unacceptable and costly. Thus, the objective of this study was to determine the feasibility of beneficial utilization alternatives with emphasis on their use as road construction amendment materials based on technical, economical, and environmental considerations. The experiments were conducted to comprehensively characterize the chemical, physical, engineering, and environmental properties for both waste samples and their mixtures prepared with local soils at different curing conditions. Field road tests were then conducted to verify and assess the performance of the mixtures in terms of load bearing capacity, serviceability, and compaction. The results showed that pulp mill wastes would have little adverse environmental impact and could be used as road construction amendments to improve soil strength and reduce deformation. This improvement was significantly affected by soil types, moisture contents, and waste addition rates. During waste-soil amendment, the metal leachability would be further reduced by the occurrence of solidification processes.Key words: wood ash, fly ash, lime by-products, solid waste management, pulp mill waste, waste utilization, leaching tests.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.160
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2000
Admission routes1
Has abstractyes

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