The Siemens Community Catalyst program was co-created with our community to acknowledge technology leaders who consistently contribute to the Siemens Community. Nominations are accepted on a rolling basis.
Hi,
What is relaxation factor?
Relaxation factor is primarily a number which is used to converge the solution.
What should be the value of relaxation factor?
Generally, value between 0.2 - 0.4 provides good balance between achieving small progression of solution and extra compute time needed to achieve the convergence.
Is it necessary to give the value of RF?
Nice Question...!
For simple problems, you can keep the value of relaxation factor at its default one.
As relaxation factor works on suppressing the solution (from previous iteration), surely it is going to take a lot of time. Taking the project span into consideration, you have to use it when it is really needed.
I was going through some research papers, where q-p relaxation method was mentioned for topology optimization.
Where q- Relaxation parameter and P - penalization parameter.
So, I would like to know, how to co-relate these q & P parameters with the parameter being used in optistruct for topology optimization.
Thanks
You should probably post that question to the OptiStruct forum - rather than this AcuSolve forum.
Join us for a community conversation on how High-Performance Computing (HPC) and Simcenter PSIM work together to meet the increasing demands of modern power electronics simulation. During this one-hour technical session, you'll discover how leveraging HPC can speed up simulations, improve scalability, and empower engineers…
Join us for a community conversation on accelerating your motor simulation workflow with Simcenter Simlab. In this beginner-friendly session, we'll introduce the platform's automated model-building capabilities and show how easy it is to set up your first electric motor analysis. You'll see the basic steps of geometry…
Join us for a Community Conversation where we'll discuss practical approaches to analyzing complex electromagnetic models using hybrid solver techniques. This session will provide a general overview of how different computational methods can be combined within a single simulation to address models containing varied…
