Surrogate Models for Estimating Failure in Brittle and Quasi-Brittle Materials

Surrogate Models for Estimating Failure in Brittle and Quasi-Brittle Materials

In brittle fracture applications, failure paths, regions where the failure occurs and damage statistics, are some of the key quantities of interest (QoI). High-fidelity models for brittle failure that accurately predict these QoI exist but are highly computationally intensive, making them infeasible...

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Bibliographic Details
Main Authors: Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, Abigail Hunter, Hari S. Viswanathan
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
fracture
graph theory
<i>k</i>-nearest neighbors
machine learning
failure paths
damage statistics
brittle failure
fracture process zone
Online Access:https://www.mdpi.com/2076-3417/9/13/2706

Internet

https://www.mdpi.com/2076-3417/9/13/2706

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