Mechanical Fatigue of Polymer Foams - A Review
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
Polymeric foam applications have rapidly increased over the years and most of them are submitted to cyclic loading conditions. Therefore, their fatigue behavior is highly important to ensure safe operation for which limited information is available compared to compact materials like asphalt, concrete, and metals. Starting with an understanding of the main parameters controlling the mechanical properties of polymer foams, this literature review further presents a broad overview of the information available to understand the relations between loading conditions and fatigue lifetime, including damage level development. The review is composed into three main classes of polymers: thermoplastics, thermosets, and elastomers. The effect of loading conditions, including stress/strain amplitude, loading ratio (R, r), frequency (f), moisture content, type of deformation and temperature (T) is presented and discussed. Finally, the effect of foam morphology in terms of cell size (d) and density (ρ) on the fatigue performance is included to make a link between Paris’ law and crack propagation. A conclusion is also provided with openings for future development.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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