Scholarlink

<p>The use of lattice structures in sandwich panel cores has garnered interest for their high stiffness-to-weight ratio and potential in lightweight applications. This study investigates the homogenization of body-centered cubic (BCC) lattice cores using a representative volume element (RVE) to derive equivalent mechanical properties. These RVE-derived properties are used to build a structural homogenized model, and they are compared to the vibrational behavior of the detailed 3D lattice model, focusing on natural frequency comparisons. The purpose of this homogenization approach is to represent the sandwich core more efficiently, enabling the investigation and optimization of the panel’s vibrational modes while reducing the computational cost associated with high-fidelity simulations. Particle swarm optimization (PSO) is, then, used to optimize the BCC strut diameter, targeting selected structural natural frequencies. The optimization process refines the design by adjusting parameters within a selected frequency range and improving the considered frequencies. The optimization is extended to a dual-parameter approach, adjusting both strut diameter and cell height, yielding enhanced stiffness and frequency control. Results demonstrate that homogenization, combined with dual-parameter optimization, effectively improves the vibrational properties with substantial computational savings.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimization of lattice-core sandwich panels for enhanced free-vibration behavior

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月16日

查看全文
  • Martina Rinaldi,
  • S. Valvano,
  • Francesco Tornabene,
  • Rossana Dimitri

摘要

The use of lattice structures in sandwich panel cores has garnered interest for their high stiffness-to-weight ratio and potential in lightweight applications. This study investigates the homogenization of body-centered cubic (BCC) lattice cores using a representative volume element (RVE) to derive equivalent mechanical properties. These RVE-derived properties are used to build a structural homogenized model, and they are compared to the vibrational behavior of the detailed 3D lattice model, focusing on natural frequency comparisons. The purpose of this homogenization approach is to represent the sandwich core more efficiently, enabling the investigation and optimization of the panel’s vibrational modes while reducing the computational cost associated with high-fidelity simulations. Particle swarm optimization (PSO) is, then, used to optimize the BCC strut diameter, targeting selected structural natural frequencies. The optimization process refines the design by adjusting parameters within a selected frequency range and improving the considered frequencies. The optimization is extended to a dual-parameter approach, adjusting both strut diameter and cell height, yielding enhanced stiffness and frequency control. Results demonstrate that homogenization, combined with dual-parameter optimization, effectively improves the vibrational properties with substantial computational savings.