SIMP-Based Topology Optimization of Lightweight Cantilever Beam Structures under Nonlinear Dynamic Impact Loading

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Abstract

This paper decisively addresses the topology optimization of lightweight cantilever beam structures subjected to nonlinear dynamic impact loading. We implemented a simplified one-dimensional finite element model in MATLAB, integrating it with the Solid Isotropic Material with Penalization (SIMP) method to identify optimal material distributions under transient impulsive forces. Our objective was clear: minimize the tip displacement while strictly adhering to a 50% volume constraint. The governing dynamic equilibrium equations were effectively solved using an explicit central difference integration scheme, and we systematically updated the design variables through finite-difference sensitivities. The results demonstrate that the optimized topologies effectively concentrate material in high-stress regions, leading to a significant reduction in peak displacements compared to the baseline design. This finding emphasizes the capability of SIMP-based topology optimization to enhance structural stiffness and energy dissipation under impact conditions, even within a highly simplified one-dimensional framework. The study presents a computationally efficient approach that combines dynamic finite element analysis with topology optimization, offering valuable insights for the early-stage design of crashworthy lightweight components. Future work will extend the framework to two- and three-dimensional geometries, incorporate nonlinear and inelastic material behavior, and integrate contact and damage models for more realistic predictions. Additional enhancements will include adjoint-based sensitivity analysis to reduce computational cost and multi-objective optimization strategies that consider energy absorption, robustness, and reliability. These improvements aim to advance the proposed method into a powerful tool for designing crashworthy, lightweight structures in aerospace, automotive, and defense applications.

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