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MSC Nastran is a Finite Element Analysis (FEA) application used by engineers and analysts involved in virtual prototyping. Available in various languages, the system supports multidisciplinary structural analysis and is used globally to simulate real-world stress, dynamics, and vibrations for complex systems. The product manufacturers range in complexity from small parts to large-scale assemblies. With features like automated MSCADS and IPOPT optimization, CAEfatigue analysis, and high-performance computing, this tool can assess the resilient comfort of structural designs. It can also preclude buckling, deformations, or resonance, as well as remedy structural issues, optimize performance, and develop differentiators.
Provider
Hexagon
Located In
Sweden
Foundation
2001
Training
Webinars, Documentation
Support
Email/Help Desk, Chat
MSC Nastran is a Finite Element Analysis (FEA) software for the global product development, engineering, and manufacturing sectors.
Content Source: MSC Nastran
Green rating bars show the winning product based on the average rating and number of reviews.
MSC Nastran Reviews
"Efficient Platform for Structural Analysis"
Pros: Offers multiple analysis disciplines.Perform linear or nonlinear analysis for almost all structural analyses in one place.Model cleanup before meshing can be done easily.Mapping of meshing to the objects is done cleanly (using permanent glue).
Cons: The learning process takes time. Very fewer case studies and training are available online.
"MSC Nastran Review"
Pros: I used this SW for my thesis and after university internship but still nowaday it's the benchmark in the Aerospace and Defence industry sector
Cons: Well tobe honest the GUI is not the best on the market and often you are forced to use ascii files to handle numerical model analyses.
"Nastran "
Overall: Durability, nvh and nonlinear simulation.
Pros: Excelent software for beginners and experienced users. Cover a lot of direction from static to fast dynamic. For small companies is excellent.
Cons: It is possible to increase the facilities for AI application.
