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Record W4403094570 · doi:10.2139/ssrn.4975758

Exploring the Brittle Behavior of 3d-Printed Sandstone Analogs Under Various Stress Conditions

2024· preprint· en· W4403094570 on OpenAlexaff
Dima Shamsedine, Pooya Hamdi, Sergey Ishutov, Gonzalo Zambrano-Narváez, Angel J. Sánchez-Barra, Lisa Winhausen, Rick Chalaturnyk, Florian Amann

Bibliographic record

VenueSSRN Electronic Journal · 2024
Typepreprint
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsUniversity of AlbertaConcordia University of Edmonton
Fundersnot available
Keywords3d printedBrittlenessStress (linguistics)Geotechnical engineeringMaterials scienceGeologyComposite materialEngineeringPhilosophyBiomedical engineeringLinguistics

Abstract

fetched live from OpenAlex

Rock masses essentially consist of two components: the intact rock and spatially distributed rock joints of various orientations and persistence. The first step to characterize the behavior of a rock mass is to understand the strength and deformability of the intact rock by performing repetitive destructive laboratory tests on intact rock specimens. The challenge imposed in these tests is the existence of inherent microscopic heterogeneity, which can lead to a substantial variability. 3D printing technologies, specifically the binder jetting technique using sand and furan, has been recently adopted in studies of rock analogs due to its ability to produce synthetic sedimentary rocks with complex geometries and known characteristics, and reduced variability. For a synthetic material to be used as an analog for a natural brittle rock, it is essential to demonstrate that this analog exhibits brittle behavior similar to that of natural rocks. Although there have been several recent advancements in 3D printing applications in the geomechanics field, studies that thoroughly evaluate the 'brittle' behavior aspects of rock analogs are lacking. In this study, a set of requirements is established to evaluate the brittle behavior of the 3D-printed rock analogs, derived from uniaxial and triaxial compression, Brazilian, and fracture toughness laboratory tests, including the tensile and compressive strengths, crack initiation and crack damage thresholds, stiffness, and brittle-ductile transition. Analysis of laboratory test results showed that the analogs behaved similar to moderately-to-strong natural sandstones with a UCS in the range of 28-32 MPa and tensile strength of 5-6 MPa, with an acceptable repeatability among the test results. Under triaxial loading, the failure process was dominated by extensional fracturing at low confinement with a transition to a macroscopic shear failure mode at higher confining pressures (up to 15 MPa). At confining pressure beyond the Mogi line, compaction failure occurred indicating a typical brittle to ductile transition, which is corroborated by microstructural analyses.

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)0.001
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.048
GPT teacher head0.262
Teacher spread0.214 · 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

Citations0
Published2024
Admission routes1
Has abstractno

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