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Record W1966508349 · doi:10.1139/l05-108

Behaviour of elevated concrete silos filled with saturated solids

2006· article· en· W1966508349 on OpenAlexvenueno aff
Mohamed T. Abdel-Fattah, Ian D. Moore, Tarek T. Abdel-Fattah

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2006
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsInformation siloSiloFinite element methodConsolidation (business)StiffnessStructural engineeringRotational symmetryMaterials scienceGeotechnical engineeringEngineeringMechanicsMechanical engineering

Abstract

fetched live from OpenAlex

A finite-element solution is introduced for simulating the filling process of elevated concrete silos filled with saturated solids. An axisymmetric finite-element model is used to represent both the solids and the structure. The bulk solids are modeled using an elastoplastic model, whereas the structure is modeled using a linear elastic model. The interaction between the two materials is modeled using interface elements to permit relative movement. The filling process is idealized via a multistage numerical technique capable of representing both undrained and drained conditions. The effect of the filling process may be time-dependent. The excess pore-water pressure caused by the filling process may significantly influence the magnitudes of internal forces. Moreover, the design critical sections of the same silo element may correspond to different bulk solid conditions (undrained or drained). Practically, the ring beam stiffness may only influence hoop compressions in the silo elements at the wall–hopper junction. The results presented may be used to design tests to evaluate existing silos.Key words: elevated concrete silos, silo filling, finite-element analysis, elastoplastic model, consolidation, hopper, ring beam stiffness.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.157
Teacher spread0.154 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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