Weathering of Building Infrastructure and the Changing Climate: Adaptation Options
Bibliographic record
Abstract
The changing climate will impact infrastructure through gradual changes in weather patterns, increasing variability and potential increases in extremes. Although most concerns have focused on changing extremes, the changes in day-to-day weathering processes may be equally important. These significant day-to-day weathering processes include wind-driven rain, freeze-thaw cycles, frost penetration, wetting and drying, wind-driven abrasive materials, the action of broad spectrum solar radiation and ultraviolet (UV) radiation, and atmospheric chemical deposition on materials. Adaptation options need to be developed to consider changing weathering processes, including more frequent freeze-thaw cycles in colder regions, potentially increased atmospheric chemical deposition, initially increasing UV levels and changes to precipitation regimes. Since buildings are particularly vulnerable to weathering impacts that compromise their durability and resilience to extremes over time, it will become increasingly important in future to ensure that building envelopes and enclosures are able to resist wind actions and to prevent moisture from entering the structure. Many of the required adaptation actions may take the form of different formulations for materials or different engineering practices to ensure greater durability or requirements in standards for preventative maintenance.
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) | 0.000 | 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".