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蠕动固体的周期性训练。

Periodic training of creeping solids.

机构信息

Department of Physics, University of Chicago, Chicago, IL 60637;

The James Franck Institute, University of Chicago, Chicago, IL 60637.

出版信息

Proc Natl Acad Sci U S A. 2020 Dec 15;117(50):31690-31695. doi: 10.1073/pnas.1922847117. Epub 2020 Nov 30.

Abstract

We consider disordered solids in which the microscopic elements can deform plastically in response to stresses on them. We show that by driving the system periodically, this plasticity can be exploited to train in desired elastic properties, both in the global moduli and in local "allosteric" interactions. Periodic driving can couple an applied "source" strain to a "target" strain over a path in the energy landscape. This coupling allows control of the system's response, even at large strains well into the nonlinear regime, where it can be difficult to achieve control simply by design.

摘要

我们研究的是在微观元素能够对施加在它们身上的应力做出塑性变形的无序固体。我们证明,通过周期性地驱动系统,这种塑性可以被利用来训练所需的弹性特性,包括全局模量和局部“变构”相互作用。周期性驱动可以在能量景观中的路径上将施加的“源”应变耦合到“目标”应变。这种耦合允许控制系统的响应,即使在大应变下也进入非线性区域,在这个区域中,仅仅通过设计很难实现控制。

相似文献

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Periodic training of creeping solids.蠕动固体的周期性训练。
Proc Natl Acad Sci U S A. 2020 Dec 15;117(50):31690-31695. doi: 10.1073/pnas.1922847117. Epub 2020 Nov 30.
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Scaling of relaxation and excess entropy in plastically deformed amorphous solids.塑性变形非晶态固体中弛豫和过剩熵的标度
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本文引用的文献

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Auxetic metamaterials from disordered networks.从无序网络中获得的超弹性超材料。
Proc Natl Acad Sci U S A. 2018 Feb 13;115(7):E1384-E1390. doi: 10.1073/pnas.1717442115. Epub 2018 Jan 30.
7
Designing allostery-inspired response in mechanical networks.在机械网络中设计受变构启发的响应。
Proc Natl Acad Sci U S A. 2017 Mar 7;114(10):2520-2525. doi: 10.1073/pnas.1612139114. Epub 2017 Feb 21.
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Architecture and coevolution of allosteric materials.变构材料的结构与协同进化
Proc Natl Acad Sci U S A. 2017 Mar 7;114(10):2526-2531. doi: 10.1073/pnas.1615536114. Epub 2017 Feb 21.
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