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ANSYS Mechanical- A Powerful Nonlinear Simulation Tool

The ANSYS Mechanical program supports a large library of beam and shell elements with applicability: composites, buckling and collapse analysis, dynamics analysis and nonlinear applications. | ANSYS Mechanical A Powerful Nonlinear Simulation Tool Grama R. Bhashyam1 Corporate Fellow Development Manager Mechanics Simulation Support Group ANSYS Inc. 275 Technology Drive Canonsburg PA 15317 September 2002 1 With grateful acknowledgment to Dr. Guoyu Lin Dr. Jin Wang and Dr. Yongyi Zhu for their input. Executive Summary Numerical simulation plays an indispensable role in the manufacturing process speeding product design time while improving quality and performance. Recently analysts and designers have begun to use numerical simulation alone as an acceptable means of validation. In many disciplines virtual prototyping employing numerical simulation tools based on finite element methods has replaced traditional build-and-break prototyping. Successful designs leading to better prosthetic implants passenger safety in automotive crashes packaging of modern electronic chips and other advances are partly a result of accurate and detailed analysis. Can one reliably simulate the collapse of a shell interaction of multiple parts behavior of a rubber seal post-yield strength of metals manufacturing process and so on using linear approximation The answer is not really. With the trend toward everimproving simulation accuracy approximations of linear behavior have become less acceptable even so costs associated with a nonlinear analysis prohibited its wider use in the past. Today rapid increases in computing power and concurrent advances in analysis methods have made it possible to perform nonlinear analysis and design more often while minimizing approximations. Analysts and designers now expect nonlinear analysis capabilities in general-purpose programs such as ANSYS Mechanical. ANSYS Inc. is a pioneer in the discipline of nonlinear analysis. The ANSYS Mechanical program s nonlinear capabilities have evolved according to emerging analysis needs maturity of analysis methods and increased computing power. The program s nonlinear analysis technology has developed at such a .