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Performance of Permeable Asphalt Pavement during Rainfall Infiltration

2011· article· en· W1965452752 on OpenAlexaff
Xiao Lan Huang, Jun Xiong

Bibliographic record

VenueApplied Mechanics and Materials · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsUniversity of Alberta
FundersState Key Laboratory for GeoMechanics and Deep Underground EngineeringInstitute of Rock and Soil Mechanics, Chinese Academy of SciencesState Key Laboratory of Geomechanics and Geotechnical Engineering
KeywordsImpervious surfaceAsphaltDrainageGeotechnical engineeringAsphalt pavementContext (archaeology)Environmental scienceCivil engineeringInfiltration (HVAC)Permeability (electromagnetism)EngineeringGeologyMaterials science

Abstract

fetched live from OpenAlex

The purpose of this paper is to summarize the performance of permeable asphalt pavements (PAP) and to recommend future areas of research and development. The development of PAP as an integral part of sustainable drainage systems is reviewed in the context of traditional and modern urban drainage. The difference between the permeable asphalt pavement and the ordinary bituminous concrete pavement is discussed. A description of the seepage calculation model based on the structural characteristics of PAP is presented. And also water level fluctuations of both the water permeable asphalt pavement and the ordinary bituminous concrete pavement are analyzed by comparing their numerical simulation results. Finally the drainage performance of the water permeable asphalt pavement is demonstrated. The long-term effectiveness of permeable pavement as an alternative to traditional impervious asphalt pavement is examined. The simulation results could provide significant guidance for the structure design of water permeable asphalt pavement.

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 categoriesInsufficient payload (model declined to judge)
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 score0.040
Threshold uncertainty score0.999

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)0.0020.000

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 head0.016
GPT teacher head0.175
Teacher spread0.160 · 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.

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
Published2011
Admission routes1
Has abstractyes

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