Towards an understanding of the chemo-mechanical influences on kidney stone failure via the material point method
Name
pone.0240133.pdf
Description
Published version
Size
4.02 MB
Format
Adobe PDF
Checksum (MD5)
ec908aad5529cda5248c4e6c672d0c0b
Author(s)
Raymond, Samuel J
Maragh, Janille
Masic, Admir
Williams, John R
Date Issued
December 2020
Journal
PLoS ONE
Publisher
Public Library of Science (PLoS)
Citation
Raymond SJ, Maragh J, Masic A, Williams JR (2020) Towards an understanding of the chemo-mechanical influences on kidney stone failure via the material point method. PLoS ONE 15(12): e0240133.
Version
Final published version
Abstract
This paper explores the use of the meshfree computational mechanics method, the Material Point Method (MPM), to model the composition and damage of typical renal calculi, or kidney stones. Kidney stones are difficult entities to model due to their complex structure and failure behavior. Better understanding of how these stones behave when they are broken apart is a vital piece of knowledge to medical professionals whose aim is to remove these stone by breaking them within a patient’s body. While the properties of individual stones are varied, the common elements and proportions are used to generate synthetic stones that are then placed in a digital experiment to observe their failure patterns. First a more traditional engineering model of a Brazil test is used to create a tensile fracture within the center of these stones to observe the effect of stone consistency on failure behavior. Next a novel application of MPM is applied which relies on an ultrasonic wave being carried by surrounding fluid to model the ultrasonic treatment of stones commonly used by medical practitioners. This numerical modeling of Extracorporeal Shock Wave Lithotripsy (ESWL) reveals how these different stones failure in a more real-world situation and could be used to guide further research in this field for safer and more effective treatments.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Center for Computational Science and Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1371/JOURNAL.PONE.0240133
