@inbook{98d960ede82340678cf2c9f66acc608c,
title = "Microstructural Effects During Crackling Noise Phenomena",
abstract = "Crackling noise phenomena typically exhibit scale-free statistical distributions (e.g., power law) of the measured variables. Such a universal behavior reveals little information regarding the physical mechanisms and microstructures that are either responsible and/or affect crackling behavior. Here, we address this issue and show three physical systems in which the distributions of certain variables are centered around a most probable value, which is related to a characteristic size of the internal microstructure. These variables represent microstructural-related events. At the same time, each microstructural-related event proceeds through a multitude of smaller mesoscopic events that span several orders of magnitude. Statistical analyses of other variables, which are associated with the mesoscopic events, follow a scale-invariant power law distribution. The origins for the co-existence of events at different scales and their different statistical distributions are discussed in light of the physical characteristics of the investigated systems.",
keywords = "Kinetic Relation, Martensitic Transformation, Probability Density Function, Shape Memory Alloy, Twin Boundary",
author = "Eilon Faran and Doron Shilo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.",
year = "2017",
doi = "10.1007/978-3-319-45612-6\_9",
language = "الإنجليزيّة",
series = "Understanding Complex Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "167--198",
booktitle = "Understanding Complex Systems",
address = "ألمانيا",
}