Generative design tutorial of the Motorcycle rear frame

[kunitsavova]

Dear friends, good day to all.
Can anyone advise where to get the tutorial on the generative design of the rear frame of the motorcycle, presented on the official page of the fusion 360 generative design?

Maybe someone came across a video or just an article? I want to figure out what forces and constrains need to be set in the rear frame model for generative design. Everything that I have tried so far has given a negative result.
Thanks in advance.

respectfully
Vova

[TrippyLighting]

@MikeSmell_ADSK Is this available as a tutorial ?

[MikeSmell_ADSK]

Hi @TrippyLighting and @kunitsavova - 

We do not have a published tutorial for that exact model that you see, however, we do have some other materials that are very similar. In our generative design specialization course on Coursera, the coursework goes through designing some components for a motorcycle, including a swingarm. I suggest checking it out via the link below. 

https://www.coursera.org/specializations/autodesk-generative-design-manufacturing

I hope this helps. 

Thanks, 

Mike Smell - Product Manager, Fusion 360 Generative Design

[kunitsavova]

Dear Peter and Mike,
Thanks a lot for this link. This is really very useful information.

However, after watching these videos with a motorcycle model and similar cases, it is not entirely clear how we can simulate the distributed load in a generative study. What I mean: the goal of 360, if I understand correctly, to allow us to simulate the processes taking place in the real world. A person sitting on a motorcycle or bicycle does not directly (sorry for unprofessional vocabulary) impact the rear swingarm of the bicycle. Its impact is distributed between the seat, the carriage assembly and the steering wheel. And its mass only indirectly affects the rear swingarm. How is it possible in a generative study to transfer these processes with maximum certainty if, unlike static simulation, there is no function of remote load distribution?
Thank you so much.

Respectfully

Vova