Select numerous structural models to utilize them for training purposes or for your projects.
Structural FEA Software RFEM 6 | Calculation
Linear and Nonlinear Structural Analysis
Your model is calculated precisely and quickly. The model is calculated linearly according to the linear static analysis, or nonlinearly according to the second-order or or the large deformation analysis. In order to determine design internal forces, you can be superimpose the results in combinations.
Select the individually suitable calculation parameters for your project: You can perform the calculation for all member types according to the linear static, second-order, or large deformation analysis. You have this selection option for load cases and load combinations. You can specifically set further calculation parameters for load cases, load combinations, and result combinations, which ensures a high degree of flexibility with regard to the calculation method and detailed specifications.
This feature helps you with the load application. You can have the required loading applied incrementally. This option is particularly suitable for your calculations according to the large deformation analysis. Furthermore, you can easily perform post‑critical analyses in RFEM.
Convince yourself by the powerful calculation kernel, its optimized networking and support of multi-core processor technology. This provides you with the advantages, such as parallel calculations of linear load cases and load combinations using several processors without additional demands on the RAM. The stiffness matrix only has to be created once. Thus, you can calculate even large systems with the fast direct solver.
If you need to calculate multiple load combinations in your models, the program initiates several solvers in parallel (one per core). Each solver then calculates a load combination, which improves the core utilization.
You can systematically follow the development of the deformation displayed in a diagram during the calculation, and thus precisely evaluate the convergence behavior.