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Record W2099166952 · doi:10.1680/grim.2000.4.2.65

Finite-element modelling of rock anchors

2000· article· en· W2099166952 on OpenAlexaff
Bai Xiao Tang, Hani S. Mitri, Mohamed Bouteldja

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Ground Improvement · 2000
Typearticle
Languageen
FieldEngineering
TopicTunneling and Rock Mechanics
Canadian institutionsMcGill University
Fundersnot available
KeywordsStructural engineeringGeologyBar (unit)Finite element methodMaterials scienceGeotechnical engineeringEngineering

Abstract

fetched live from OpenAlex

This paper describes a generalized modelling technique for the simulation of rock anchors, including mechanically anchored rock bolts, grouted rebars and cable bolts. The proposed technique is implemented in a two-dimensional, finite-element method. A rock anchor system is modelled by a series of bar elements, representing the anchor, which are connected along their length to the rock mass by continuous shear springs, representing the shear bond stiffness of the grout and the rock–anchor interface. Surface anchorage, anchor tensioning and full or partiallength grouting can be modelled. The versatility of the proposed model is illustrated by a simple example of a rectangular excavation, and the application of the model is demonstrated by a case study of an underground mine stope in hard rock, supported by cable bolts. Cet article présente une technique généralisée de modélisation numérique pour la simulation des boulons d'ancrage, incluant des boulons mécaniques, des armatures cimentés et des câbles d'ancrage. La technique proposée est effectuée par la méthode des éléments finis. Le système d'ancrage est modélisé par une série d'éléments linéaires, qui représentent l'ancrage, et qui est connectée au massif rocheux par des ressorts de cisaillement à l'interface rocheboulon. On peut modéliser l'effet d'ancrage de tête du boulon, et les boulons qui sont partiellement ou complètement cimentés. La polyvalence du modèle proposée est illustrée par un exemple simple d'une excavation rectangulaire. Une application pratique du modèle est présentée dans le cas d'un chantier d'abattage souterrain supporté par des câbles d'ancrage dans une mine de roche dure.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.706

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 head0.011
GPT teacher head0.183
Teacher spread0.172 · 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 designSimulation or modeling
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

Citations4
Published2000
Admission routes1
Has abstractyes

Explore more

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