Opiniones y comentarios de aprendices correspondientes a FEM - Linear, Nonlinear Analysis & Post-Processing por parte de Coursera Project Network
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In this hands-on project, you will learn about the Finite Element Method (FEM) and perform a linear & nonlinear static analysis study using the cloud-based simulation tool SimScale. We will set up simulation cases with provided geometries to learn the fundamentals of the Finite Element Method and how a static linear and nonlinear analysis is approached in the first place. We will walk through the classical three step process of every simulation which includes the pre-processing, processing and post-processing step.
SimScale is an engineering simulation platform that is revolutionizing the way engineers, designers, scientists, and students design products. The SimScale platform is accessible completely via a standard web browser, with an easy-to-use interface which supports numerous simulation types including solid mechanics (FEM), fluid dynamics (CFD) & thermodynamics.
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project, for this project you need no special setup or any data. Everything is already set up directly in your internet browser so you can just focus on learning!
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
1 - 7 de 7 revisiones para FEM - Linear, Nonlinear Analysis & Post-Processing
20 de ene. de 2023
It was a great course. I really enjoyed learning a new skill.
por CLEISON A M A
1 de mar. de 2022
Thanks for the course .
por UMAIR K
23 de mar. de 2023
por Ernani R L
2 de ene. de 2022
por Rameshkumar S
17 de nov. de 2022
por HariKrishnan U
2 de dic. de 2021
This is more of a marketing for simscale and basically you pay for this!
por Germán Q R
16 de may. de 2022
Way too short, barely scratching the surface of FEA