Experimental analysis of bolted, bonded, and hybrid spliced joint connections in glass fiber reinforced polymer short column
Bibliographic record
Abstract
Glass Fiber Reinforced Polymer (GFRP) is a polymer composite material used in lightweight structures. This study provides insight into achieving robust GFRP H-section short-column spliced connections using bonded, bolted, and hybrid connections. The design specifications for steel splicing connections are based on BS EN 1990 and BS EN 1991 guidelines. Based on the samples subjected to axial loading, factors such as compressive strength, bonding and bearing resistance, compression behavior of the connection, and failure modes of the structure are investigated. The study includes the behavioral characteristics and results of 25 GFRP H-section Spliced connections, with each H-section measuring 152 x 72 x 6.4 mm and standing 350 mm in height. This study also examines the behavior of a composite splice joint made up of steel cover plates and steel bolts that are used to create an ideal non-bearing spliced connection. This model is used to compare to the other models to understand the behavior of spliced joints designed with GFRP cover plates. This paper holds design specifications of connections that have displayed compressive strengths of 82.35 %, 89.82 %, and 92.83 % compared to that of an un-cut GFRP H-section subjected to axial loading.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".