OVERVIEW | CAPABILITIES

Highlights

Direct Parameterisation of Analysis Models

HyperStudy's direct interface with Altair HyperMesh and Altair MotionView provides the capability to directly parameterise finite element and multi-body dynamics models for major solvers - thus making the study parameterisation process easy and efficient.

Shape Parameter Definition using Morphing Technology

Shape changes can be easily created on complex finite element model geometries using the powerful morphing technology in HyperMesh. These morphed shapes can then be saved as HyperStudy shape parameters to evaluate their effect on design performance in the non-linear world.

Direct Interfaces to Popular Solver Technologies

HyperStudy directly reads the plot and animation data of many popular solvers including ABAQUS, ADAMS, ANSYS, DADS, HyperWorks, LS-DYNA, MotionSolve, MADYMO, MARC, MATLAB/SIMULINK, NASTRAN, OptiStruct, PAMCRASH, RADIOSS and SIMPACK to streamline the study process without additional post-processing steps.

Integration with HyperWorks Framework

In addition to direct parameterisation functionality, HyperStudy can also utilise the powerful post-processing capabilities of HyperView for customised results visualisation and processing. Altair Templex and TCL language, which are common to HyperWorks products, can also be used to parameterise generic ASCII input and create customised readers and procedures.

Capabilities

Design of Experiments (DOE)

HyperStudy provides comprehensive design of experiments capabilities for various DOE types. Available DOE types include Full Factorial, Fractional, Taguchi, Box-Behnken, Plackett-Burman, Central Composite, Latin HyperCube, User-defined and direct input of external run matrix. The study parameters can be continuous, discrete numbers or character strings which can be either controlled or uncontrolled.

HyperStudy's extensive post-processing capabilities include an advanced approximation module to create response surfaces as well as tools to diagnose and measure their fidelity. Response surfaces can be used for performing robustness and optimisation studies.

Size, Shape and Multidisciplinary Optimisation

In optimisation studies, HyperStudy supports size and shape optimisation as well as multidisciplinary optimisation for general engineering applications. Common applications of study include crashworthiness, manufacturing process simulation including metal forming, multi-body systems simulation and computational fluid dynamics.

HyperStudy's comprehensive optimisation algorithms include sequential response surface and method of feasible directions. In addition, HyperStudy provides an API to incorporate external optimisation routines into the study.

The optimisation study can be performed using either direct analysis runs or a DOE response surface. HyperStudy can also be used to optimise study results for reliability and robustness.

Stochastic Studies

The stochastic study capability in HyperStudy allows engineers to perform Monte Carlo simulations to study the sensitivity of the model performance due to the variations in design parameters. These variations may include tolerances associated with manufacturing, material properties, assembly stackup and others. Stochastic studies provide qualitative guidance to improve and optimise the robustness of designs.

HyperStudy includes Simple Random, Latin Hypercube and Hammersley sampling methods along with statistical distribution functions such as Normal, Uniform, Triangular, Weibull and Exponential distribution functions for creating parameter variations. In addition, HyperStudy provides comprehensive post-processing capabilities to assess the statistical variations in designs such as Ant hill plots, Histograms, PDF and CDF distributions. Stochastic studies can also be performed using either direct analysis solver runs or the DOE response surfaces.