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Record W4401479388 · doi:10.56952/arma-2024-0093

Laboratory Procedure to Calibrate Non-Stressed Borehole Size

2024· article· en· W4401479388 on OpenAlex
C. Lin, Dexuan Zou

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsDalhousie UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsBoreholeCalibrationComputer scienceGeologyPetroleum engineeringGeotechnical engineeringStatisticsMathematics

Abstract

fetched live from OpenAlex

ABSTRACT: Measurement of the pre-excavation 3D stresses is of great importance for mining, petroleum and other underground rock engineering. An alternative method by differential-direction drilling (called D3 method) without overcoring was recently developed based on back-analysis of the measured borehole diametrical deformation. One of the key input parameters in this back-analysis method is the borehole convergence. To calculate the convergence, the initially-drilled borehole diameter before deformation is required. The rock mass in the ground is always under stress and a drilled hole size is the ultimate result after deformation. Additionally, the size of a borehole typically deviates slightly from the nominal drill bit size. Hence, the first step is to determine the actual borehole size under zero stress to provide a base for comparison in practical implementation. This paper presents the laboratory experiment setup and the procedure for drilling and measurements. Boreholes are drilled in non-stressed rock blocks using a drill press and customized drill bits. The borehole size is measured with a borehole deformation gauge and calibrated with a precisely machined aluminum tube. The relationship between the borehole size and the nominal core bit size is thus established. A calibration procedure for determining the non-stressed borehole size is ultimately established through laboratory experiments. 1. INTRODUCTION Pre-excavation stresses refer to the stresses existing within a rock mass before the initiation of any excavation or mining activity. It influences the stability of underground structures and excavations (Hoek and Brown, 1980; Amadei and Stephansson, 1997; Brady and Brown, 2004). Incorporating the pre-excavation stress analysis into engineering practices in mining, petroleum, and underground rock engineering is essential for ensuring safety, optimizing design, maximizing resource recovery, and managing risks, ultimately contributing to the sustainable development of these industries. The pre-existing field stresses are in three dimensions, which can be described by six independent components. It can also be represented by three orthogonal principal stresses: the maximum, the intermediate and the minimum normal stresses (Zou, 2020). Unlike one-dimensional or two-dimensional stress analyses in different directions, which oversimplifies the stress distribution, stress analysis in three dimensions provides a more comprehensive understanding of how stresses act within the rock mass. This understanding is crucial for accurate engineering design and risk assessment.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.689

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)0.0000.001

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 head0.005
GPT teacher head0.242
Teacher spread0.237 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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