Over the past decade, lattice metamaterials have demonstrated broad application prospects in fields such as aerospace, biomedicine, and transportation owing to their light weight, high strength, programmability, and multi-functional coupling properties. However, the stress concentration effect of microstructures in complex service environments is prone to cause crack initiation and propagation, which remains a key bottleneck problem restricting their engineering application. This review systematically reviews the research progress on crack propagation control of additive manufacturing lattice metamaterials, revealing the intrinsic mechanism of the failure behavior of lattice metamaterials from three dimensions: materials, processes, and structures. It also focuses on analyzing the efficacy and limitations of active regulation strategies such as cell optimization, holistic optimization, bionic design, multi-material design, random lattice design, and data-driven design. On this basis, the trends of intelligent and automated design based on machine learning and topology optimization were discussed. This review seeks to provide theoretical support and design references for the development and engineering application of highly reliable lattice metamaterials.
Xiong et al. (2026) studied this question.
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