Author ORCID Identifier
Document Type
Article
Publication Date
2018
College/Unit
Statler College of Engineering and Mining Resources
Department/Program/Center
Mechanical and Aerospace Engineering
Abstract
When far from equilibrium, many-body systems display behavior that strongly depends on the initial conditions. A characteristic such example is the phenomenon of plasticity of crystalline and amorphous materials that strongly depends on the material history. In plasticity modeling, the history is captured by a quenched, local and disordered flow stress distribution. While it is this disorder that causes avalanches that are commonly observed during nanoscale plastic deformation, the functional form and scaling properties have remained elusive. In this paper, a generic formalism is developed for deriving local disorder distributions from field- response (e.g., stress/strain) timeseries in models of crackling noise. We demonstrate the efficiency of the method in the hysteretic random-field Ising model and also, models of elastic interface depinning that have been used to model crystalline and amorphous plasticity. We show that the capacity to resolve the quenched disorder distribution improves with the temporal resolution and number of samples.
Digital Commons Citation
Papanikolaou, Stefanos, "Learning local, quenched disorder in plasticity and other crackling noise phenomena" (2018). Faculty & Staff Scholarship. 1528.
https://researchrepository.wvu.edu/faculty_publications/1528
Source Citation
Papanikolaou, S. (2018). Learning local, quenched disorder in plasticity and other crackling noise phenomena. Npj Computational Materials, 4(1). https://doi.org/10.1038/s41524-018-0083-x
Comments
Open Access This article is licensed under a Creative Commons
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© The Author(s) 2018