Multiscale Design Optimization of Hopper Cars Employing Functionally Graded Honeycomb Sandwich Composites
Bibliographic record
Abstract
A novel multi-stage structural design optimization procedure has been developed for the weight minimization of hopper cars.The procedure has been tested under various loading It is often said that we stand on the shoulders of giants, and throughout this thesis, thankfully, I had some big ones in my corner.First and foremost, thank you to my research adviser, Professor Mostafa ElSayed, who had the difficult and stressful task of navigating me through my research while simultaneously allowing me the freedom to pursue my interests.Thank you also to the folks at the MAE department who work in the background to keep things moving, and a special thanks to Neil McFadyen for his efforts in helping me with my computing issues.I was also surprised to find out during my research that there are, in fact, kind strangers on the internet.Thank you to all the members and staff of the Altair forums, particularly Simon Kriznik for helping me in the establishment of my explicit model.Thank you to my father, Bashar, and to my mother, Rola, for listening to all my woes non-stop and being my rock at my toughest moments.Thank you for instilling in me the vigor to pursue a career in STEM, giving me the drive to succeed, and for being the official sponsors to my dream of being an engineer.Though stepping outside after late winter nights in the office felt like pulling teeth out and putting them back in, I thankfully had the luck of knowing I would be coming home to the warmth of the best friends a man could ask for.Thank you to my brother Basel and brother from another mother Neven for being there with me and having my back every step of the way on this long road, and for proving to me that there is, in fact, enough whiskey to get me through a master's thesis.On campus, thank you Terrin, for the intellectually stimulating conversations every morning over coffee which drove me to polish my thesis.Thank you also to the MC3037 iv crew: Jason, Shahrazad, Mirja, Donovan and Shahryar for the lively talks in the office and for keeping the dreary mornings interesting.Last but most certainly not least, thank you to Sofia for being there to remind me of the simple and fun things in life, and for tolerating my insistence that it is just this one last simulation run and then we can go have fun.Unacknowledgements: Special note of non-gratitude to the countless sums of little COVID-19 viruses for absolutely destroying the job market right before my graduation and thereby contributing significantly to my overall stress.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".