Topology optimization based on level set for a flexible multibody system modeled via ANCF

Jialiang Sun, Qiang Tian, Haiyan Hu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

A topology optimization methodology is proposed for the flexible multibody system undergoing both large overall motion and large deformation. The system of concern is modeled via the absolute nodal coordinate formulation. The equivalent static load method is employed to transform the topology optimization of the nonlinear dynamic response of the system into a static one, and evaluated to adapt to the absolute nodal coordinate formulation by splitting the elastic deformations of the flexible components from the overall motions of those components. During the static topology optimization, the material interface is implicitly described as the zero level set of a higher-dimensional scalar function. Then, the semi-implicit level set method with the additive operator splitting algorithm is employed to solve the corresponding Hamilton-Jacobi partial differential equation. In addition, the expert evaluation method of weights based on the grey theory is utilized to define the objective function, and a modified augmented Lagrange multiplier method is proposed to treat the inequality volume constraint so as to avoid the oscillation and drift of the volume. Finally, two numerical examples are provided to validate the proposed methodology.

Original languageEnglish
Pages (from-to)1159-1177
Number of pages19
JournalStructural and Multidisciplinary Optimization
Volume55
Issue number4
DOIs
Publication statusPublished - 1 Apr 2017

Keywords

  • Absolute nodal coordinate formulation (ANCF)
  • Equivalent static load (ESL) method
  • Flexible multibody dynamics
  • Semi-implicit level set method (LSM)
  • Topology optimization

Fingerprint

Dive into the research topics of 'Topology optimization based on level set for a flexible multibody system modeled via ANCF'. Together they form a unique fingerprint.

Cite this