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Record W2179005900

Behavior of steel reinforced concrete panels subjected to direct tension

2010· dissertation· en· W2179005900 on OpenAlexfundno aff
N. Dawood

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2010
Typedissertation
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMemorial University of Newfoundland
KeywordsCrackingReinforcementMaterials scienceStructural engineeringUltimate tensile strengthConcrete coverTension (geology)StiffeningSteel barComposite materialBar (unit)EngineeringGeology
DOInot available

Abstract

fetched live from OpenAlex

Cracking of massive concrete structures like offshore and nuclear power plants structures is an important issue in designing and maintaining such structures. The low tensile strength of concrete can destroy the structural aesthetics and expose steel reinforcements to severe environmental conditions, leading to corrosion of reinforcement and other deterioration. -- The present research investigation ultimately aims to investigate the general behavior of steel-reinforced normal- and high-strength concrete panels subjected to uniaxial and biaxial direct tension loading taking into consideration the effect of the set of parameters that have the most significant effect on the cracking response. This investigation includes experimental, theoretical, and numerical modeling phases for the cracking response. -- The experimental study incorporates the effect of some important parameters such as the concrete strength, bar diameter, bar spacing, concrete cover, and reinforcement ratio on the cracking response of concrete panels. To conduct the current experimental investigation, a special test setup was designed and fabricated. The loading system was equipped to make it possible to simultaneously apply loads in both directions. Results of the experimental work will be presented in terms of cracking behavior (cracking load, crack spacing, crack width, and crack pattern and the mode of failure), stresses and strains in concrete and steel reinforcement before and after cracking. -- Compared with NSC panels, HSC panels showed lower strains and greater tension stiffening response at a given load level thanks to the corresponding improvement of the bond between the reinforcing steel bars and the high strength concrete matrix. The panels tested under biaxial loading conditions showed lower concrete tensile strength and tension stiffening response, compared with the panels subjected to uniaxial loading conditions. This reduction in the tensile strength of concrete panels subjected to biaxial loading was found to be equal to 5% - 15%. The reduction of the tension stiffening contribution of concrete between cracks due to applying the axial into biaxial direction became more significant as the reinforcing bar diameter was increased. -- An analytical study was conducted to study the bond characteristics between concrete and steel reinforcing bars. Also, a practical and new analytical model, which is capable of predicting the crack spacing of orthogonally reinforced concrete plate panels, was developed. Afterwards, this study developed a model for evaluating crack widths for thick reinforced concrete plates subjected to in-plane axial loading. The calculation procedure was supported by an evaluation of existing test data. -- Finally, the nonlinear analysis of reinforced concrete plates using the damage plasticity model was performed. The tension stiffening model developed in this study was implemented to simulate the cracking response of the concrete. The numerical results show reasonable accuracy in predicting the behavior of steel-reinforced concrete panels.

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)0.000
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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)0.0030.000

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 head0.019
GPT teacher head0.250
Teacher spread0.230 · 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
Published2010
Admission routes1
Has abstractyes

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