Reliability-based Assessment of Existing Concrete Structures in ACI CODE-562-25
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
<p>The next edition of the American Concrete Institute’s <i>Assessment, Repair, and Rehabilitation of Existing Concrete Structures – Code and Commentary (ACI CODE-562-25) </i>includes new provisions for reliability-based assessment using the mean load method. The licensed design professional responsible for the evaluation will now be permitted to conduct a preliminary evaluation, a detailed evaluation, and a reliability-based evaluation to assess the structural safety, serviceability, or durability of an existing concrete structure. To assist practitioners who are unfamiliar with such methods, a parallel initiative has produced the new guide, <i>Statistical Techniques for Assessment of Existing Concrete Structures (ACI PRC-ITG-11-24)</i>. Its appendix, “Reliability Toolkit for Assessing Existing Concrete Structures,” may become the most frequently used part of the document as users become familiar with reliability-based methods. This paper presents some of the background behind, and summarizes, these documents.</p>
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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