Investigation of Dynamic Factors in Different Sections of HVC by Static and Free Vibration Modal Analysis
Bibliographic record
Abstract
One of the essential purposes of the automotive chassis is to maintain the vehicle's shape and bear the various loads applied to the vehicle. When a heavy-duty vehicle, e.g., a truck, travels on the road, the chassis is subject to vibrations produced by surface roughness and excitation due to the vibration of body parts. The present study aims to design, model, and perform a static structural & vibrational modal analysis on a commercial vehicle (Truck) chassis considering both conventional Structural steel and P100/6061 Al Metal Metrix Composite (MMC) using ANSYS CFX to determine the strength of chassis with transverse sections. Free vibrational modal analysis determines the mass participation factor and resonance frequency for square section and C section, respectively, for both materials using the finite element technique. It was observed that the use of the C section causes an increase in deformation for all the natural frequencies, which is not preferred. The high mass participation factor along the x-direction signifies that any external excitation along this direction would likely cause resonance and amplitude build-up. The C section profile of the chassis shows 1.69% higher deformation than the square section in both cases; hence it is not desirable for the design.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".