Feasibility of using seven-wire steel strands as conventional reinforcement in structural concrete members
Bibliographic record
Abstract
Concrete beams and columns in high-rise buildings and long-span bridges are often required to sustain large flexural and axial loads. Meeting these demands with conventional reinforcement often leads to steel congestion and poor concrete placement. To address this challenge, this study investigates the feasibility of using unstressed seven-wire steel strands (Grade 1860 MPa) as longitudinal reinforcement in reinforced concrete (RC) members. Although they offer high strength, these strands show limited ductility, lack a clear yield point, and are not yet covered by design codes. An experimental program was conducted involving four reinforced concrete beams under pure flexure and four half-scale short columns under pure axial compression. Results showed that strand-reinforced beam specimens exhibited comparable flexural strength but demonstrated reduced pre-yield stiffness and ductility relative to their corresponding conventionally reinforced beams. In columns, strand-reinforced specimens displayed 10–14% lower compressive strength compared to their rebar-reinforced counterparts. To further explore the structural behavior of the beams, a MATLAB-based algorithm was created to perform sectional analysis and assess their curvature ductility behavior. In addition, a numerical model was developed using a fiber-based analysis approach in OpenSees to study the structural behavior of the columns. Based on these findings, design charts are proposed for the use of unstressed steel strand both in beams and columns. Furthermore, to provide practical design tools for column cases beyond those examined in this study under pure axial compression, axial–moment interaction diagrams were developed. • Experimental and numerical studies were performed on RC members with steel strands. • Strand-reinforced beams exhibited lower stiffness and ductility than RC beams. • Strand-reinforced columns demonstrated 10–14% reduction in compressive strength • Design charts and interaction diagrams were developed for strand-reinforced columns.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".