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Record W4221016979 · doi:10.1061/9780784484029.059

An Experimental Study on the Interface between a Waterproofing Membrane in Contact with Dry and Saturated Sand

2022· article· en· W4221016979 on OpenAlexaboutno aff
Marzieh Shahraki, Anthony Tessari, Chandrakanth Bolisetti, Efe G. Kurt

Bibliographic record

VenueGeo-Congress 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsWaterproofingGeotechnical engineeringMaterials scienceDirect shear testMembraneShear strength (soil)Contact angleComposite materialGeologyShear (geology)Soil waterChemistrySoil science

Abstract

fetched live from OpenAlex

Wherever a hydraulic barrier is required, waterproofing membranes are often employed in construction. Because they sit at the boundary between the natural and built environments, interface modeling is an important part of their assessment. This highlights the value of maintaining an experimental test database on the behavior of waterproofing membranes in contact with various soils and environmental conditions. This study is part of a series of large-scale laboratory tests on soil-structure interactions focused on the friction mechanism at various interfaces with boundary conditions as similar to reality as possible. The aim of this paper is to investigate the interface shear resistance of the waterproofing membrane interface in contact with dry and saturated Ottawa sand. To this end, a spray-applied waterproofing membrane was sheared on Ottawa sand placed in a sandbox with interior plan dimensions of 305 × 305 cm and an interior height of 100 cm. The coefficient of sliding friction at the interface is characterized, and the surface failure mechanism is also discussed. The waterproofing membrane-sand interface friction angle was found to be independent of normal pressure and quite different from the internal friction properties of the Ottawa sand. It was observed that the shear resistance at the interface of saturated sand was greater than its dry counterpart. The data sets are being used to support the development of numerical models for sliding at waterproofing membrane-soil interfaces.

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 score0.005
Threshold uncertainty score0.010

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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