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Record W3097171684 · doi:10.1177/1369433220968451

A review on seismic behavior of ultra-high performance concrete members

2020· review· en· W3097171684 on OpenAlexaff
Rui Hu, Zhi Fang, Caijun Shi, Brahim Benmokrane, Jie Su

Bibliographic record

VenueAdvances in Structural Engineering · 2020
Typereview
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsUniversité de Sherbrooke
FundersNational Natural Science Foundation of ChinaMinistry of Science and Technology
KeywordsStructural engineeringDuctility (Earth science)GroutFlexural strengthCementitiousMaterials scienceCompressive strengthDissipationShear (geology)Joint (building)EngineeringGeotechnical engineeringComposite materialCementCreep

Abstract

fetched live from OpenAlex

Ultra-high performance concrete (UHPC) is a type of cementitious composite, and demonstrates very high compressive strength and good ductility. The favorable ductility and energy dissipation capacity of UHPC material make it possible to achieve excellent seismic performance in all kinds of structural members. The paper reviewed the recent progress on the seismic behavior of UHPC members, including flexural members (beams and plates), compressive members (columns and shear walls), joints (beam-column joints and plate-column joints), strengthening (strengthening for columns, shear walls and joints) and connections (bar lap splice and grout). A series of potential future researches on the seismic behavior of UHPC members were finally suggested for promotion of the application of UHPC in civil engineering.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.014
GPT teacher head0.280
Teacher spread0.266 · 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

Citations55
Published2020
Admission routes1
Has abstractyes

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