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Experimental Study on the Roundness of Silica Sand from Sidrap: Improvement by Means of Abrasion and Measurement Using a Practical New Method

2021· article· en· W3158824820 on OpenAlexaboutno aff
Wieke Pratiwi, Gaos Abdul Karim, Titi Rachmawati

Bibliographic record

VenueKey engineering materials · 2021
Typearticle
Languageen
FieldEngineering
TopicTunneling and Rock Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsRoundness (object)Materials scienceAbrasion (mechanical)MortarComposite material

Abstract

fetched live from OpenAlex

Improving roundness of a local silica sand was conducted by abrasion using a laboratory ball mill having a diameter of about 156 mm with steel milling balls of 2800 g. Abrasion was conducted at a fixed speed of 30 rpm; with various sand loadings of 150, 200, and 250 g; and milling time of 60, 105, and 120 min. Roundness was evaluated based on Wadell equation and topography of particle surface was measured by using a new practical method consisting of a build-in camera in mobile phone and common image processing application. Results of measurement using this new proposed method had been confirmed with roundness reported from two service laboratories. The abrasion could increase the roundness of Sidrap sand from 0.20 to an average of 0.31, while the measured roundness of Ottawa standard sand was about 0.46. Three types of mortar were prepared from Sidrap sands before and after abrasion, as well as Ottawa sand. Compressive strengths of mortar after aging of 28 days were 345, 375, and 333 MPa respectively.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.615

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)0.0000.000

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 head0.044
GPT teacher head0.286
Teacher spread0.242 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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