Stress-Constrained Design of Functionally Graded Lattice Structures With Spline-Based Dimensionality Reduction
Abstract
This paper presents a computationally tractable approach for designing lattice structures for stiffness and strength. Yielding in the mesostructure is determined by a worst-case stress analysis of the homogenization simulation data. This provides a physically meaningful, generalizable, and conservative way to estimate structural failure in three-dimensional functionally graded lattice structures composed of any unit cell architectures. Computational efficiency of the design framework is ensured by developing surrogate models for the unit cell stiffness and strength as a function of density. The surrogate models are then used in the coarse-scale analysis and synthesis. The proposed methodology further uses a compact representation of the material distribution via B-splines, which reduces the size of the design parameter space while ensuring a smooth density variation that is desirable for manufacturing. The proposed method is demonstrated in compliance with minimization studies using two types of unit cells with distinct mechanical properties. The effects of B-spline mesh refinement and the presence of a stress constraint on the optimization results are also investigated.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 30, 2020
- Source ID
- 10.1115/1.4046237
Entities
People
- Carolyn Conner Seepersad
- Conner Sharpe
- Jenmy Zimi Zhang
Organizations
- Defense Advanced Research Projects Agency
- Lawrence Livermore National Laboratory
- United States Department of Energy
- University of Texas at Austin