Introduction to HyperWorks

Math Solutions

Math Solutions

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Math Solutions

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Math Solutions provide general mathematical tools for math scripting, modeling, study, and optimization.

hmtoggle_plus1greyHyperMath - Mathematical scripting language for numerical computation

HyperMath version 2017 will be the last major release supported.  After 2017, HyperMath will be deprecated and no longer maintained or released in future versions of HyperWorks.

HyperMath is progressively replaced by solidThinking Compose.

Compose 2017 is available and offers a new language, OML, that provides extended features and new syntax.

HML and OML languages are NOT compatible, and it is recommended that you migrate existing HML scripts to OML.

 

hmtoggle_plus1greyHyperStudy - Multi-disciplinary design exploration, study and optimization software

HyperStudy is a multi-disciplinary design exploration, study and optimization software. Using HyperStudy, users can gain insight into their applications, make better design decisions and optimize the performance, reliability and robustness of their systems.

The design of the tool as a wizard makes it very easy to learn and use.  Its seamless integration with HyperWorks enables direct model parameterization including shape parameterization and direct result reading of the output files of solvers such as RADIOSS, MotionSolve, AcuSolve, Abaqus, Adams, Ansys, LS-Dyna, and Nastran. For other solvers, definition of solver input data as design variables and extraction of solver output data as responses can also be done easily. For complex mathematics, HyperMath, Python or Templex is also available.

HyperStudy Post-Processing module contains display, analysis and data mining capabilities that helps engineers to overcome the challenging task of extracting relevant information from multi-run studies. With its unique and powerful suite of tools, simulation results can be analyzed, sorted and studied effectively in HyperStudy.

Benefits

Using HyperStudy, users can

study the effects of design changes on design performances efficiently
assess the robustness of designs and obtain guidance necessary to achieve robust designs
perform multi-disciplinary optimization studies for different attributes of a design
perform system identification and correlation studies
minimize time-to-market by methodologically identifying design direction for difficult problems
Perform quick trade-off studies in HyperStudy UI or in Excel spreadsheet using HyperStudy’s Fit Trade-off Excel Plug-in