A New Expression of Internal Stiffness for Load Path Analysis in Structures
Bibliographic record
Abstract
The load transfer inside a given structure can be expressed by load paths. Based on the concept of internal stiffness that is independent of stress analysis, the [Formula: see text]* index is a powerful tool to visualize the load paths by measuring strain energy caused by displacement at the loading point. In this short communication, a scalar index [Formula: see text]* is introduced as a new expression of internal stiffness to visualize the load paths with a greater precision. The load paths are defined as the streamlines following the decay direction of the internal stiffness. Based on the numerical simulations, [Formula: see text]* load paths have higher load transfer efficiency compared to [Formula: see text]* counterparts. The experimental study of an [Formula: see text]-bracket with stiffeners placed on the main load paths further verifies the effectiveness of the [Formula: see text]* index for load path analysis. The proposed concept for load path analysis showcases great potential in design evaluation and optimization for load-bearing components from a macroscopic view.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".