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Record W4386524320 · doi:10.56952/arma-2023-0800

Development of a Weak But Brittle Analog Sediment Rock for Experimental Study

2023· article· en· W4386524320 on OpenAlexaboutno aff
Doandy Yonathan Wibisono, Marte Gutierrez, Dipaloke Majumder, Pradeep Kumar Gautam

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsBrittlenessSpallGeotechnical engineeringCompressive strengthUltimate tensile strengthGeologyAir entrainmentMaterials scienceComposite material

Abstract

fetched live from OpenAlex

ABSTRACT Laboratory-tested results in rock mechanics have played a crucial role in understanding rock behavior and failure mechanisms. This paper outlines the development of an analog rock, similar to sandstone, for an experimental study that yields a low unconfined compressive strength yet exhibits brittle failure characteristics. The F-75 Ottawa sand, Type I/II commercial grade Portland cement, air entrainment admixture, and water constitute the raw mixtures of the developed analog rock. The result is a reproducible homogeneous and isotropic rock. The effect of the air entrainment admixture and freezing-thawing cycle on the analog rock are investigated. This study amplifies the notable macroscopic fracturing after a limited post-yield strain. The unconfined compressive strength has been bounded at around 1.5 MPa, and the material continues to exhibit brittle behavior at a range of confinement. A set of Brazilian indirect tensile tests was used to assess the tensile strength, including the brittle failure analysis governed by the ratio between the unconfined compressive strength and tensile strength. In addition, the material physical properties were obtained, along with the thin-section-based porosity analysis. The synthetic sandstone is developed for a scale-model experimental study of brittle failure in tunnels using a true-triaxial apparatus that include spalling, dog-earing, and rockburst. INTRODUCTION Brittle failure in the underground excavation can be sudden and catastrophic, resulting in large cracks and fractures such as spalling and rockburst. This stress-induced failure is typically encountered in sparsely fractured or massive rocks at deep underground excavations (Martin et al., 1997). Therefore, understanding the nature of undesirable rock mass brittle failure is essential to provide mitigation plans for the associated risks. One approach to enhance the understanding of behavior and failure mechanisms of rocks is through laboratory testing. However, it is challenging to collect natural, homogeneous, and undisturbed rock specimens of varying sizes from the field. Additionally, the natural specimen may introduce alterations to the variables that could differentiate the investigation plan in terms of reproducibility (Johnston & Choi, 1986). Hence, developing a repeatable analog rock mix can be considered with a flexibility range of controlled properties. In this case, the prepared analog rock specimens must have the characteristics of the investigated phenomenon (i.e., brittle behavior).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.269
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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