Multiple & Coupled Solution Techniques

Multiple solution techniques (Lagrange, Multi-Material Euler, Euler-FCT, ALE, SPH, Shells, Beams) can be used in combination and fully coupled in a single problem to avail the user of the most appropriate and best suited method available.

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Convenient, Practical and Sophisticated Modeling Features

Features such as natural fragmentation, remapping, restarting, de-zoning, part activation, and a fast 2-D solution enable users to produce high resolution results efficiently.

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Extensive Material Model Library

As ANSYS, Inc. is constantly striving to assure that analysis results are accurate as possible, one of our highest priorities is to provide material models and material data to achieve that goal. Therefore, ANSYS AUTODYN features an extensive material model library combining thermodynamic and constitutive responses for many solids, liquids and gases (e.g., metals, composites, ceramics, glass, concrete, soil, explosives). A combination of virtually all equation of state, strength and failure/damage material models is possible and supported by virtually all solution techniques.

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Parallel Processing on Shared Memory and Distributed Memory Systems

To take advantage of the benefits of faster turn-around problems can be run on parallel computer systems, including shared memory and (distributed) clustered computer systems. Domain decomposition is used to produce the most efficient parallel solution.

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Open Architecture

The majority of the capabilities, such as equation of state, strength model, failure/damage model, implemented within ANSYS AUTODYN can be expanded by the user through the use of User Subroutines and User Variables. Templates for user subroutines with full documentation of data available in the routine and data to be produced by the user are provided with the standard program, minimizing the effort for implementing new capabilities.

Extensively Validated Solution Techniques by Experiments

The solution techniques used in ANSYS AUTODYN have been repeatedly validated by comparing the results generated with experimental data. Numerous comparisons by customers of experimental and simulated results are published annually in technical journals.