Comparison of load transfer index (U<SUP align="right">*</SUP>) with conventional stress analysis in vehicle structure design evaluation
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
The load transfer index (U*), is a relatively new concept compared to its counterpart of structural stress analysis. The U*index characterises the internal stiffness distributions, which indicates the load transferring function of the prospective structure. Although the U* index and stress values have been proven to be useful indices in design, a systematic comparison between the conventional stress analysis and the loads transfer analysis (based on U*index) is lacking. In this study, using a component of the parcel rack from multiple passenger vehicles as an example, we demonstrate the unique capability of U*, indicating the load transferring function. We further show how the combination of the load index U* and the stress distributions provides a comprehensive understanding of the structure's response to various loading conditions. More importantly, we will discuss how the U* can provide unique guidelines for structure design with the purpose of improving the load transfer capacity and reducing the weight.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it