Effect of Corrosion and Transverse Reinforcement on Flexural Response of 3D Finite Element Reinforced Concrete Beams
Bibliographic record
Abstract
Reinforced concrete structures positioned in coastal areas undergo durability related concerns due to early deterioration of reinforcing bars due to corrosion.This result in a reduction of load-carrying capacity and service life of the structure.This study aims to analyse the effect of varying corrosion percentages on the load-bearing ability of the structure.The idea pertinent to this study is to simulate various three-dimensional finite element beams in ABAQUS 6.14.1 and compare their results with the experimental data taken from the literature.The modelled beams are analysed with a four-point simply supported bending flexural test for validation.For concretesteel interaction simulation, the cohesive surface interaction method proved to be most suitable as the results align with analytical results.Loss of bond in concrete-rebar interface due to decrease in mechanical interlock is calculated.Concrete Damage Plasticity model is adopted for calculating confined and unconfined strength of concrete in tension and compression.A parametric study is also performed to investigate varying corrosion percentages on residual capacity and behaviour of corroded beams.Flexural strength response due to spacing of transverse reinforcements as per different Indian standard codes is analysed.Spalling stress is calculated analytically and put into simulation data for more precise results.The results indicate a notable reduction in load-deflection behaviour due to concrete spalling, deterioration of rebars ribs, loss in mechanical interlock mechanism and yield strength.At very high corrosion, the structure undergoes an absolute brittle failure due to a complete steel-concrete bond loss.A good matching between finite element and experimental loaddeflection curves is observed with variability in ultimate load-bearing capacities of less than 5% for all cases.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".