focused on individual material properties like stiffness, yield or buckling strength but less so on the intricate trade-off
between these properties.
Material stiffness and strength are fundamental properties for determining material load-bearing capacity as they
measure the material’s deformation resistance and ultimate load-carrying capacity, respectively. The quest for op-
timal stiffand strong materials depends on many aspects, including the loading conditions and constituent base
materials. Stiffness-optimal materials meeting theoretical upper bounds have been obtained via systematic design
approaches [6, 7, 8, 9, 10]. It has been shown that plate microstructures reach the Hashin-Shtrikman bounds [11]
in the low volume fraction limit and remain within 10% of the theoretical upper bounds at moderate volume frac-
tions. A few studies have focused on improving microstructure strength, including stress minimization and buckling
strength optimization. It has been shown that the maximum von Mises stress can be reduced when taking stress
into account during the microstructure optimization procedure either as constraints or objectives [12, 13, 14, 15].
The stress singularity issue, where the stress at a point approaches infinity as the density at that point approaches
zero, was handled by stress relaxation methods [16, 17, 18, 19]. Large numbers of local stress constraints can be
aggregated to a global quantity using the p-norm, Kresselmeier–Steinhauser (KS) [20] methods or by the augmented
Lagrangian method [21]. Microstructure buckling strength optimization using topology optimization was first studied
by [22], focusing on cell-periodic buckling modes. More recently, 2D and 3D material microstructures were system-
atically designed to enhance buckling strength based on linear material analysis. This approach evaluates effective
material properties using the homogenization method [23] and material buckling strength under a given macro stress
using linear buckling analysis (LBA) with Bloch-Floquet boundary conditions to capture all the possible buckling
modes [24, 25, 26]. Both studies showed that the optimized materials possess several times higher buckling strength
than their references at the cost of some stiffness degradation. Subsequent 2D experimental verifications have further
verified the buckling superiority of the optimized microstructures and validated the linear material evaluation [27].
So far, optimized microstructures have been designed considering material buckling or yield failure separately.
However, yield-optimized microstructures tend to be vulnerable to buckling failure. On the other hand, buckling-
optimized microstructures assume constituent base materials with relatively high yield strength (yield strength to
Young’s modulus ratio, σ1/E1), e.g., elastomers. For other base materials with low relative yield strengths, e.g., steel,
the buckling-optimized microstructures fail due to localized yield. Hence the optimized strength superiority in both
cases may significantly degrade in real applications. Furthermore, a previous numerical study showed that for a given
microstructure topology, the failure mechanism switches from buckling- to yield-dominated failure as the volume
fraction increases [28]. Hence, it is crucial to consider both failure mechanisms in the design procedure consider-
ing different volume fractions. Furthermore, it is essential to provide microstructure candidates with programmable
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