ESLDYNA Optimization Software that Couples GENESIS to LS-DYNA Nonlinear Structural Analyses ESLDYNA is based on the Equivalent Static Loads (ESL) method to perform optimization based on a nonlinear finite element analysis with GENESIS as the structural optimization program. ESLDYNA takes advantage of the capability of GENESIS, a linear structural optimization program, to solve large scale optimization problems based on the responses from a nonlinear finite element analysis. It also helps to significantly reduce the design time by identifying high performance designs with five to ten nonlinear analyses. Vanderplaats Research & Development, Inc. (VR&D) provides ESLDYNA which uses LS-DYNA, a product of the Livermore Software Technology Corporation, for the nonlinear analysis. Most of the different types of design optimization techniques in GENESIS are available to the user for designing the nonlinear model. Multiple loading conditions in the nonlinear analysis, using several LS-DYNA input files, can be analyzed simultaneously to achieve optimal solutions. The available plug-in to Design Studio, a design pre- and post-processor, provides an easy to use interface with seamless integration between GENESIS and LS-DYNA. Topometry Optimization to Minimize Firewall Intrusion Stamping Optimization to Minimize Trimming Waste Topology Optimization with Fabrication Constraints Highlights ● SLDYNA Optimization can E handle a very large number of design variables ● educed computational cost R ● ase of use enhanced by the E Design Studio plugin ● eamless integration between LS-DYNA S and GENESIS ● asy implementation of Shape, Sizing, E Topology, Topometry, Topography, and Freeform design changes

ESLDYNA Methodology ESLDYNA is an implementation of the ESL method for coupling a nonlinear analysis with a linear optimization software for designing the nonlinear model. ESLs are defined as a set of static loads that produces the same response field as obtained in the nonlinear analysis. These loads are used to perform the optimization on the linear model. Optimization results are updated in the nonlinear analysis and a new response field is generated. This process is repeated until design convergence. In case of a transient nonlinear analysis, the time domain is discretized and applied as...