Parallelized finite element modelling of unreinforced concrete masonry infills bounded by reinforced concrete (RC) frames
Bibliographic record
Abstract
This paper presents the implementation of a new parallelized finite element technique for modelling the in-plane behaviour of concrete masonry infilled reinforced concrete (RC) frames using the disturbed stress field method (DSFM). The new technique, referred to as the vectorized and parallelized finite element method (VPFEM), was developed with a key feature of significantly accelerating finite element model run speed using parallel computing algorithms. In this paper, the DSFM modelling details and its implementation in the VPFEM are presented. The iterative analysis required by the DSFM was performed using parallel computing techniques to achieve acceleration using graphical processing units (GPUs). A comparison with experimental results shows that the DSFM is able to accurately predict the behaviour, ultimate load, and cracking pattern of masonry infilled RC frames. The run speed acceleration achieved by the VPFEM when implemented on GPUs is demonstrated to be significant.
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 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) | 0.001 | 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 | 0.000 | 0.001 |
| 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 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".