Under compression, a cyclically precompressed nanopillar supports greater load than its as-fabricated counterpart. Such an improvement on mechanical properties takes place only when the preloading process is tuned carefully with regard to a particular pillar being tested. This experimental evidence raises a question: does a cyclic preloading applied simultaneously to an ensemble of nanopillars enhance the overall strength of the system? To answer this question, we simulate numerically cyclic loadings of pillars assembled into an array. Assuming that the pillars are characterized by random strength-thresholds $$\left\{ \sigma _{\mathrm{th}}\right\} $$ σ th , we demonstrate that quasi-statically compressed arrays with initial cycling process support higher load than the corresponding ones with no precompression. By applying the fibre bundle model, we evolve $$\left\{ \sigma _{\mathrm{th}}\right\} $$ σ th and estimate that the mean strengthening may attain 7–9% for an optimally tailored cycling.

中文翻译：

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增强了周期性预加载的柱子阵列的强度

在压缩下，循环预压缩的纳米柱比其制造的对应物支持更大的负载。只有在针对特定的被测支柱仔细调整预加载过程时，才会发生这种机械性能的改进。这个实验证据提出了一个问题：同时应用于纳米柱整体的循环预加载是否会增强系统的整体强度？为了回答这个问题，我们模拟了组装成阵列的柱子的数值循环载荷。假设支柱的特征在于随机强度阈值 $$\left\{\sigma _{\mathrm{th}}\right\} $$ σ th ，我们证明具有初始循环过程的准静态压缩阵列支持更高加载比没有预压缩的相应的。通过应用纤维束模型，