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Record W4409764520 · doi:10.1061/jmcee7.mteng-19500

Self-Healing Capacity of Cemented Paste Backfill in Response to Internal Sulfate Exposure

2025· article· en· W4409764520 on OpenAlexaff
Weizhou Quan, Mamadou Fall

Bibliographic record

VenueJournal of Materials in Civil Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSulfateGeotechnical engineeringMaterials scienceComposite materialEngineeringMetallurgy

Abstract

fetched live from OpenAlex

This paper experimentally investigates the effect of internal sulfate exposure on the self-healing capacity of cemented paste backfill (CPB). CPB specimens were prepared with different sulfate concentrations of 0, 5,000, 15,000, and 25,000 ppm and cured under ambient conditions for an initial curing period of 7 days. Following the initiation of the cracks within the CPB matrix at various pre-cracking levels (i.e., 0%, 75%, and 90% of ultimate compressive strength in the pre-peak phase), the studied specimens were subjected to various self-healing periods of 7, 28, and 90 days. Self-healing performance was evaluated by observations of crack closure, mechanical strength tests, hydraulic conductivity measurements, and assessments of physical properties (i.e., porosity and void ratio). Self-healing products were identified using X-ray diffraction (XRD), scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS), and thermogravimetric analysis and derivative thermogravimetry (TG/DTG) techniques. The experimental results show that sulfate significantly affects the self-healing performance of CPB. The highly sulfated specimens (i.e., 25,000 and 15,000 ppm) generally exhibit a more pronounced self-healing efficiency in terms of strength and hydraulic conductivity recovery during the first 28 days of self-healing, followed by an opposite performance during the 90 days of the self-healing period. Conversely, specimens with low sulfate concentrations (i.e., 5,000 ppm) consistently displayed positive effects on self-healing performance throughout the entire self-healing duration. The inhibition of cement hydration by sulfate ions and the amount of formed expansive minerals (i.e., ettringite and gypsum) emerged as critical factors underlying these observed behaviors. Furthermore, the combination of ettringite, gypsum, C─ S─ H, Ca(OH)2, and CaCO3 was identified as the primary self-healing products in the examined specimens. The results presented in the paper hold significant implications for the design, mechanical stability, and durability of CPB structures exposed to sulfate ions, offering valuable guidance for engineering practice.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.204
Teacher spread0.194 · 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 designBench or experimental
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

Citations2
Published2025
Admission routes1
Has abstractyes

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