Creep failure of amorphous solids under tensile stress.

Phys Rev E

Department of Chemical Physics, The Weizmann Institute of Science, Rehovot 76100, Israel.

Published: September 2022

AI Article Synopsis

  • Applying constant tensile stress to amorphous solids leads to a slow extension known as "creep," followed by a rapid mechanical collapse, which is a significant concern in engineering.
  • Predictive theories for the collapse time (τ_{w}) are complicated due to the influence of various factors like temperature, system size, and microscopic interactions, making it hard to develop a comprehensive safety theory.
  • The paper aims to utilize scaling concepts to create a universal function for predicting the probability distribution of lnτ_{w}, demonstrating its effectiveness for both ductile and brittle materials, although the analysis of ductile materials is reserved for future studies.

Article Abstract

Applying constant tensile stress to a piece of amorphous solid results in a slow extension, followed by an eventual rapid mechanical collapse. This "creep" process is of paramount engineering concern, and as such was the subject of study in a variety of materials, for more than a century. Predictive theories for τ_{w}, the expected time of collapse, are incomplete, mainly due to its dependence on a bewildering variety of parameters, including temperature, system size, tensile force, but also the detailed microscopic interactions between constituents. The complex dependence of the collapse time on all the parameters is discussed below, using simulations of strip of amorphous material. Different scenarios are observed for ductile and brittle materials, resulting in serious difficulties in creating an all-encompassing theory that could offer safety measures for given conditions. A central aim of this paper is to employ scaling concepts, to achieve data collapse for the probability distribution function (pdf) of lnτ_{w}. The scaling ideas result in a universal function which provides a prediction of the pdf of lnτ_{w} for out-of-sample systems, from measurements at other values of these parameters. The predictive power of the scaling theory is demonstrated for both ductile and brittle systems. Finally, we present a derivation of universal scaling function for brittle materials. The ductile case appears to be due to a plastic necking instability and is left for future research.

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Source
http://dx.doi.org/10.1103/PhysRevE.106.034906DOI Listing

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