Validation of NDE Techniques for Characterizing Dealloyed Regions in Aluminum-Bronze Casting Components in Essential Cooling Water Systems
Bibliographic record
Abstract
Abstract Material degradation caused by selective leaching (dealloying) of aluminum in certain aluminum-bronze alloys is an environmentally induced degradation mechanism affecting piping systems containing cast components. Such material degradation has been observed in cast piping components fabricated to ASME SB-148 CA952 and CA954 specifications in ASME Code Class 3 essential cooling water systems. In-situ characterization of dealloyed regions in these components is important for determining the structural integrity of the dealloyed cast component in support of continued plant operation. A number of cast aluminum-bronze components were removed from service in support of validating non-destructive examination techniques for characterizing dealloyed regions. Prior to their removal, non-destructive examination inspections were performed to measure the extent of dealloying. The ex-service components were then destructively examined to validate non-destructive examination detection and sizing capabilities. This paper presents the results from the validation activities of the non-destructive examination technique for detecting dealloying. Good correlation was observed between the metallurgical examination and the adaptive ultrasonic imaging non-destructive examination inspection results, particularly the through-wall dealloying depth. Evidence from the metallurgical examination shows that the growth of dealloying over time is plug-like in nature (i.e., localized growth towards through-wall penetration). This paper also discusses approaches for addressing the uncertainties in non-destructive examination detection based on the destructive examinations.
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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 | 0.001 | 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 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".