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The ANSYS structural mechanics suite is greater than the sum of its parts: a complete set of interdependent tools designed specifically to make your products stronger, more durable, more innovative at the lowest possible cost and the least amount of time. ANSYS Mechanical Suite Other ANSYS Engineering Simulation Capabilities Geometry Stress Analysis Fatigue and Composites Composites Tools Midsurfacing operations on a thin structure Drop test of gas container using explicit tools Composite failure analysis of turbine blade Erosion effects Definition of ply layup on turbine blade Pre-Processing Simulation Post-Processing Archive CAD ANSYS DesignModeler™ provides modeling and geometry - creation functions as well as tools for importing CAD data from various sources. In addition, we collaborate with leading CAD developers to ensure an efficient workflow. Integration ANSYS Workbench is the framework for the industry's broadest and deepest suite of advanced engineering simu- lation technology. It delivers unprecedented productivity, enabling Simulation- Driven Product Development TM . Multiphysics To help ensure a successful product, R&D teams must accurately predict how complex products will behave in a real- world environment. The ANSYS suite captures the interaction of multiple physics: structural, fluid dynamics, electromechanics and systems interactions. A single, unified platform harnesses the core physics and enables their interoperability. HPC High-performance computing enables creation of large, high-fidelity models that yield accurate and detailed insight. ANSYS offers scalable solutions and partners with hardware vendors to ensure that you get the power and speed you need. Design Optimization Good design starts with identifying the relationship between performance and design variables. ANSYS DesignXplorer enables engineers to perform design of experiments (DOE) analyses, investigate response surfaces, and analyze input constraints in pursuit of optimal design candidates. Data Management ANSYS EKM addresses critical issues associated with simulation data, including backup and archival, traceability and audit trail, process automation, collaboration and capture of engineering expertise, and IP protection. 10 https://www.randsim.com/structures