Fatigue Testing and Finite Element Analysis of Bridge Welds Retrofitted by Peening under Load
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Residual stress-based post-weld treatments such as needle peening, hammer peening, and ultrasonic impact treatment (UIT) offer a promising means for extending the fatigue lives of existing welded highway bridges. When applied to bridge welds in service, these treatments can be particularly effective, since the stresses due to the self weight of the bridge have already been imposed. In this paper, a finite element (FE) analysis study is performed to investigate the additional benefit that may result from applying post weld-treatments under load. Fatigue tests of small-scale weld specimens treated with and without preloading are first described. 2D FE models that simulate the treatment process are then described and used to model the treatment of the fatigue specimens. Effects of plate thickness, indentation depth, and preload level on the residual stress distribution induced by peening under load are then studied. Based on the results of this work, recommendations are made to aid in the prediction of the fatigue performance of bridge welds retrofitted by peening under load.
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.
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 | 0.000 | 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 | 0.000 |
| 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 it