Evaluation of the Biofidelity of the HIII and MIL-Lx Lower Leg Surrogates Under Axial Impact Loading
Bibliographic record
Abstract
OBJECTIVE: Lower leg injury risk is commonly assessed using an anthropomorphic test device (ATD). The current standard leg (the HIII) has been shown to have low biofidelity due to its geometry and material properties. A new surrogate (the MIL-Lx) was developed to address these issues, specifically for anti-vehicular mine blast scenarios but with potential applications to high-force crashes in the automotive industry. Before it is adopted for use, the MIL-Lx must be evaluated under impact loading to ensure that it represents the natural lower leg response. METHODS: Axial impact loads were applied to both the HIII and the MIL-Lx at impact velocities of 2 to 7 m/s using a pneumatic impacting device. Testing was also conducted with the foot removed from both surrogates to enable comparison with previous tests of isolated cadaveric tibias at noninjurious and injurious (i.e., fracture) levels. To evaluate the effect of a boot on load attenuation, the HIII was impacted with and without a hiking boot. RESULTS: Forces in the MIL-Lx were between 25 and 100 percent of those in the HIII (depending on impact conditions). The use of a boot reduced the peak force by approximately 65 percent at the highest impact velocities. The MIL-Lx fit the data from noninjurious cadaveric tibia tests with R(2) = 0.83. CONCLUSIONS: The MIL-Lx is a new surrogate that represents the response of the natural tibia under axial impact loading better than the HIII. The inclusion of a boot has a significant effect on loads in the leg and may influence injury assessment results. The MIL-Lx will be a useful tool for predicting lower leg injury risk over a wide range of impact velocities.
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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 | 0.002 | 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".