Stress-constrained topology optimization of heterogeneous lattice structures for additive manufacturing

• A modified Tsai-Hill stress interpolation model for lattices is proposed. • Multiscale lattice structure topology optimization under stress constraints for static and dynamic loads is addressed. • Full-scale analysis and experimental validation of the optimized structures are conducted. This study presents a topology optimization method for heterogeneous lattice structures subject to stress constraints. The proposed approach extends the ordered SIMP (Solid Isotropic Material with Penalization) framework to incorporate a composite material failure criterion. Specifically, a modified Tsai–Hill yield criterion is employed to characterize the anisotropic yielding behavior of the heterogeneous lattice, which is subsequently integrated into the optimization as a stress constraint. To address the variation in yield strength across different lattice configurations, a normalization strategy is applied to the stress field. Additionally, a P-norm aggregation scheme is introduced to efficiently handle local stress constraints while reducing computational cost. The equivalent elastic tensor and yield strength of each lattice configuration are obtained using a representative volume element (RVE) based on homogenization theory. The effectiveness of the proposed method is demonstrated through a series of 2D cases, achieving lightweight structural designs that satisfy stress constraints. Finally, full-scale mechanical analysis and 3D printing experimental validation further confirm the strength reinforcement of the optimized results.

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Publication Details

Journal
Materials & Design
Published
2025-09-22
DOI
https://doi.org/10.1016/j.matdes.2025.114792
Primary Topic
Topology Optimization in Engineering
Type
article
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article

Stress-constrained topology optimization of heterogeneous lattice structures for additive manufacturing

Yifan Guo, Zhan-Qun Yang, Shuzhi Xu, Jikai Liu
Materials & Design
Topology Optimization in Engineering
article

Stress-constrained topology optimization of heterogeneous lattice structures for additive manufacturing

Yifan Guo, Zhan-Qun Yang, Shuzhi Xu, Jikai Liu
article en

Abstract

• A modified Tsai-Hill stress interpolation model for lattices is proposed. • Multiscale lattice structure topology optimization under stress constraints for static and dynamic loads is addressed. • Full-scale analysis and experimental validation of the optimized structures are conducted. This study presents a topology optimization method for heterogeneous lattice structures subject to stress constraints. The proposed approach extends the ordered SIMP (Solid Isotropic Material with Penalization) framework to incorporate a composite material failure criterion. Specifically, a modified Tsai–Hill yield criterion is employed to characterize the anisotropic yielding behavior of the heterogeneous lattice, which is subsequently integrated into the optimization as a stress constraint. To address the variation in yield strength across different lattice configurations, a normalization strategy is applied to the stress field. Additionally, a P-norm aggregation scheme is introduced to efficiently handle local stress constraints while reducing computational cost. The equivalent elastic tensor and yield strength of each lattice configuration are obtained using a representative volume element (RVE) based on homogenization theory. The effectiveness of the proposed method is demonstrated through a series of 2D cases, achieving lightweight structural designs that satisfy stress constraints. Finally, full-scale mechanical analysis and 3D printing experimental validation further confirm the strength reinforcement of the optimized results.

Materials & DesignVol. 259
Shandong University (CN), University of Alberta (CA), The University of Osaka (JP)
Openalex Percentile: Top 73%
Topology Optimization in Engineering
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Stress-constrained topology optimization of heterogeneous lattice structures for additive manufacturing — Yifan Guo, Zhan-Qun Yang, et al. · Materials & Design (2025) | TGRS Research Map | TGRS