Simplified assessment of corroded structures
Bibliographic record
Abstract
Current seismic evaluation frameworks of reinforced concrete structures such as those of ASCE/SEI 41 (2023) and EN 1998-3 (2021), are calculation-intensive and require extensive information of reinforcement ratios and detailing. However, the guidelines do not consider the condition of reinforcement, which was proven to affect the member's residual mechanical properties, the hierarchy of failure modes and the consequences on seismic performance. Considering the condition of the reinforcement complicates further the problem of seismic assessment. This paper focuses on simple modifications of existing nonlinear assessment procedures to account for the effects of moderate corrosion on seismic performance. The methodology along with an application example of computational assessment procedures of a regular five-storey structure with a soft first storey are presented, considering corrosion damage in nonlinear time history and pushover analysis. It is shown that corrosion exacerbates the seismic demands by effectively reducing the structural stiffness, while at the same time deprecating the lateral load resistance and drift capacity of the affected components. A simple criterion to determine the increased drift demand resulting from the stiffness loss due to corrosion is also included for rapid assessment procedures.
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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 | 0.000 | 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 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".