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Sustainability of Concrete Infrastructures

2016· article· en· W2269317072 on OpenAlexaff
Amin Ghali, Ramez B. Gayed, J Kroman

Bibliographic record

VenueJournal of Bridge Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicConcrete Properties and Behavior
Canadian institutionsBP (Canada)University of Calgary
Fundersnot available
KeywordsSustainabilityCivil engineeringConstruction engineeringBusinessEngineeringEnvironmental planningForensic engineeringEnvironmental science

Abstract

fetched live from OpenAlex

Sustainability of modern civil engineering structures is the broad objective of the present paper. Infrastructures should be designed and built to be used satisfactorily over longer life spans without collapse or deterioration requiring major repair. Progress in materials, analysis, and design makes it possible to achieve a life span for concrete infrastructures of 100–125 years. An appropriate life span can be a contractual requirement for all civil engineering infrastructures. For these objectives, provisions for lasting satisfactory serviceability are increasingly adopted in codes. Only deficient serviceability or strength, developing gradually over a number of years, is discussed. Lessons to be learned from collapse, excessive deflection and cracking of bridges, and intolerable sagging of slab floor are discussed. The paper presents limited means to control long-term deflection and cracking of bridges, including slab bridges and flat-plate floors; other recommendations that enhance sustainability of future infrastructures are put forward.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2016
Admission routes1
Has abstractyes

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