@inproceedings{d58181b1580b4af2b3d2acbb65d91177,
title = "A data-driven multiscale theory for modeling damage and fracture of composite materials",
abstract = "The advent of advanced processing and manufacturing techniques has led to new material classes with complex microstructures across scales from nanometers to meters. In this paper, a data-driven computational framework for the analysis of these complex material systems is presented. A mechanistic concurrent multiscale method called Self-consistent Clustering Analysis (SCA) is developed for general inelastic heterogeneous material systems. The efficiency of SCA is achieved via data compression algorithms which group local microstructures into clusters during the training stage, thereby reducing required computational expense. Its accuracy is guaranteed by introducing a self-consistent method for solving the Lippmann–Schwinger integral equation in the prediction stage. The proposed framework is illustrated for a composite cutting process where fracture can be analyzed simultaneously at the microstructure and part scales.",
author = "Modesar Shakoor and Jiaying Gao and Zeliang Liu and Liu, {Wing K}",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-15119-5_8",
language = "English (US)",
isbn = "9783030151188",
series = "Lecture Notes in Computational Science and Engineering",
publisher = "Springer Verlag",
pages = "135--148",
editor = "Michael Griebel and Schweitzer, {Marc Alexander} and Michael Griebel and Schweitzer, {Marc Alexander}",
booktitle = "Meshfree Methods for Partial Differential Equations IX, 2017",
address = "Germany",
note = "9th International Workshop on Meshfree Methods for Partial Differential Equations, IWMMPDE 2017 ; Conference date: 18-09-2017 Through 20-09-2017",
}