This presentation was made at the NAFEMS Americas Seminar - Confidence in Engineering Simulation: The Next 10 Years of CAE in Mexico.

What is the future for engineering analysis and simulation in Mexico? Discover innovative engineering simulation processes and tools which are helping companies in Mexico improve production capabilities. Engage with domain experts, industry leaders, and peers in a focused, comprehensive one-day event that covers topics on engineering analysis, simulation, and systems modeling and simulation that every engineer in Mexico should know.

Resource Abstract

Automobile Manufacturers are required to design their vehicles for safety so that the occupants will survive of a variety of crash scenarios. Computer simulated crash analysis evolved over the years to help augment the crash rest programs and to give engineers to insight into the crash events.



These nonlinear simulations have become commonplace during the design phase to save time and design cost. Designing an automobile for compliance with these safety standards along with fuel efficiency standards is hard because of some contradiction between these requirements.



Today, to improve the design, analysts and engineers are using analyses and coupling them with general purposes optimization packages, hence, several crash conditions simultaneously can be defined to obtain the last response of the structure and utilizing optimization tools.



Crash simulations typically require a significant amount of computational time and resources. While using a general purpose optimization package the cost exceed.



As a result, there is an important interest in using approximate models to deal with optimization processes. An approximated model is constructed from a limited set of simulations and used during the optimization to obtain an improved design. But in normal conditions, there is a limitation on the number of independent design parameters that can be used because of the accuracy of the approximate models.



This research describes a design system to optimize the non-linear responses computed from a Nonlinear software and General Purpose Optimization packages using various optimization techniques, especially with large-scale (large number of design variables) optimization.



With the Nonlinear package software will be implemented to perform equivalent static loads (ESL Method) based on a Nonlinear analysis responses. The optimization package will be used to optimize the structure under frontal and side crash while decreasing intrusions at nodal outputblocks.



Equivalent Static load method will require multiple iterations process of non linear structural analysis and Optimization.



Large scale optimization techniques, such as, topology, topometry and topography will be implemented easily.