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Record W2603912831 · doi:10.1061/9780784480434.004

Automation of Large-Scale Geotextile and Geomembrane Fabrication

2017· article· en· W2603912831 on OpenAlexaff
Andrew R. Mills, Naeem Yassin

Bibliographic record

VenueGeotechnical Frontiers 2017 · 2017
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsTC Scientific (Canada)DSM (Canada)Greenfield Research (Canada)
Fundersnot available
KeywordsGeomembraneGeotextileFabricationScale (ratio)AutomationScope (computer science)WeldingEngineeringComputer scienceManufacturing engineeringConstruction engineeringMechanical engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

The fabrication of geotextiles and geomembranes offers advantages in deployment speed and quality over field-installed materials. Traditional fabrication methods have joined one strip of material at a time to create extended panels. Recently, the authors have completed the development of a new fabrication machine that joins five strips of material at a time to create fabricated panels for large projects. The new machine is capable of both welding geomembranes and sewing of high strength geotextiles. This machine was specifically designed to address the problems of scale that need to be dealt with in oil sands tailings ponds. This paper will outline the development of this unique machine and present two case histories; one using high strength sewn geotextile, and one using welded geomembrane. The paper also highlights some exciting new equipment technology and innovation developed specifically for meeting the containment needs of larger scale projects.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.765
Threshold uncertainty score0.378

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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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