MétaCan
Menu
Back to cohort
Record W4409799863 · doi:10.11159/icgre25.119

Slope Drainage Design and Operation: A Study of Legacy Assets

2025· article· en· W4409799863 on OpenAlexvenueno aff
Elena Mugarza, S. G. Glendinning, Ross Stirling, Colin T. Davie

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research Council
KeywordsDrainageComputer scienceEnvironmental scienceGeology

Abstract

fetched live from OpenAlex

Transport infrastructure slopes across the UK are vulnerable by their exposure to increasingly frequent inclement weather caused by climate change.Slope failures gain national press attention for the disruption they cause to essential transport links and the public expenditure required to repair and reinstate.Compacted clay soils, commonly used in the construction of embankments in the transport infrastructure sector, are subject to progressive deterioration caused by volumetric shrinking and swelling in response to wetting and drying cycles.Precipitation events in Britain are projected to increase in frequency and severity during the next decade with legacy earthworks (exceeding 80 years) enduring the effects of prolonged exposure to fluctuating weather cycles, reducing resilience of the infrastructure.They are also influenced by the prevailing construction method and design guidance of the age.The provision of slope drainage is a widely used mitigation technique used by transport infrastructure owner/operators facing slope stability challenges, and these are often retrofitted to legacy assets to capture and divert surface water.Effective drainage solutions should encompass a design that considers the slope globally; it's composition, any pre-existing instability or deterioration mechanisms, preferential flow pathways into existing desiccation cracks etc.However, it is questionable whether design details are changeable in practice, to better suit the existing earthwork and drainage baseline condition.Drainage installation method and maintenance strategies are vital components in ensuring that the drain contributes to improved slope stability, rather than allowing deeper and faster propagation of wetting fronts, causing increased pore-water pressure at depth.This paper sets out to investigate the flow path of water within legacy slope drainage, the deterioration mechanisms of the drainage material and clays surrounding.This will be evaluated through field investigation of a historic rail cutting with existing counterfort drains in place.This research aims to review the likely condition of aged slope drainage that has been negated from a frequent maintenance schedule, the subsequent impact and risk posed to the surrounding earthwork.The information gained from this research should aid understanding of deterioration mechanisms to both the slope drainage and earthwork soils surrounding these and the works that are required to avoid such a loss in performance and maintain earthwork stability..

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.192
Teacher spread0.184 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Civil, Structural, and Environmental EngineeringSame topicSoil erosion and sediment transportFrench-language works237,207