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Record W2996079263 · doi:10.20381/ruor-24214

Effects of Detailing and Fibers on the Static and Blast Behaviour of High‐Strength Concrete Beams

2019· dissertation· en· W2996079263 on OpenAlexaboutno aff
C. Charles

Bibliographic record

VenueuO Research (University of Ottawa) · 2019
Typedissertation
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsnot available
FundersNational Science Council
KeywordsStructural engineeringEngineeringMaterials scienceGeotechnical engineeringForensic engineering

Abstract

fetched live from OpenAlex

The CSA S850 Blast standard provides guidelines that can be used to enhance the blast performance of reinforced concrete structures. In the case of beams, the standard requires the use of top continuity (compression) bars and well-detailed transverse steel to ensure strength and ductility under blast loads. However, the requirements in the CSA S850 standard are intended for normal-strength concrete structures. Given the increased use of high-strength concrete (HSC) in practice, there is a need to explore the effects of modern blast designs on the behavior of HSC structures subjected to blast loads. Accordingly, this project examines the effect of modern reinforcement detailing on the static, dynamic and post-blast performance of high-strength concrete beams. The study further examines the ability to use fibers to relax such detailing and simplify construction. A total of seventeen beams are tested. Static testing is conducted under four-point bending, with blast testing conducted using the University of Ottawa shock-tube. The post-blast behavior of the beams is assessed by conducting residual static tests on the blast-damaged specimens. The parameters investigated include the effects of: blast detailing vs. nominal detailing, steel fibers, the effect of longitudinal steel ratio (in compression and tension) and tie spacing. The results show that under static loads, the use of blast detailing significantly improves the flexural behavior of the beams in terms of ductility. Likewise, the provision of continuity (compression) bars and closely spaced ties is found to improve blast performance by better controlling displacements, increasing blast resistance, limiting damages and allowing for important post-blast residual capacity. The use of steel fibers and relaxed detailing (increased tie spacing) is found to increase resistance and improve cracking behavior under static loads, with an ability to match the blast performance of more heavily-detailed HSC specimens. The use of fibers also allowed for substantial post-blast capacity. Finally, the steel ratio (in tension, in compression and in the transverse direction) was found to affect the blast behavior of the HSC beams. In addition to the experiments, the analytical study predicts the static and blast response of the tested beams using sectional analysis and non-linear SDOF modeling. Results show that the analysis methodology was able to predict the static and blast responses of the blast-detailed and fiber-reinforced HSC beams with reasonable accuracy.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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