Abstract
Origins of failure are often driven by localizations in material response due to the applied stress/strain state. These stress “hot spots” intuitively represent regions that accumulate higher damage than their surroundings, serving as prime locations for crack nucleation. There are a number of microstructural factors that contribute to whether a given neighborhood is prone to forming a hot spot, including the morphology of local features, their relative crystallographic misorientations and elastic anisotropy, and their preferred orientations with respect to the load state. Given the large number of features that may influence the formation of stress hot spots, it is advantageous to develop techniques that attempt to predict their formation based solely on an image of the underlying microstructure. We describe such a method based on a convolutional neural network (CNN). The CNN is trained by cutting local patches out of a synthetic microstructure, created in DREAM.3D, that had its elastic response modeled using a spectral technique based on fast Fourier transforms. The resulting trained CNN is able to predict which regions of a microstructure are susceptible to forming hot spots, based only on an image description and features [
Background of the Study
Social media platforms have become fertile ground for rapid language change, and viral memes are a...
Chapter One: Introduction
Background of the Study :
State-level fiscal reforms are critical for improving regional economic performance by enhancing revenue genera...
ABSTRACT
This study was carried out to evaluate the impact of ICT in employer record keeping and salary...
Background of the study
Digital healthcare initiatives have transformed access to medical services in urban centers such...
ABSTRACT
The system solves the problem of missing result of students in tertiary institutions and the system proffers a...
Background of the Study
Sustainable supply chain management (SSCM) refers to the integration of environmental, social, and economic consi...
Background of the Study
Financial technology (fintech) solutions have revolutionized the banking industry, enhancing accessibility, effic...
Background of the Study
In today’s rapidly evolving labor market, vocational education has gained prominence as a br...
Background of the Study
Mental illness encompasses a range of mental health conditions that significantly impact individuals’ emoti...