Monte Carlo analysis of the human vertebra based on compressive loading

The objective of this study is to determine the probability of injury of human crack vertebra condition subjected to compressive loading. The model had been used in this study was reconstructed from image processing and develop using SolidWorks software. The three dimensional finite element model of...

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Main Authors: Zulkifli, Ahmad@Manap, A. K., Ariffin
Format: Article
Language:English
Published: IJENS 2012
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Online Access:http://umpir.ump.edu.my/id/eprint/26953/1/Monte%20Carlo%20analysis%20of%20the%20human%20vertebra%20based%20on%20compressive%20loading.pdf
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spelling my.ump.umpir.269532020-02-26T08:08:51Z http://umpir.ump.edu.my/id/eprint/26953/ Monte Carlo analysis of the human vertebra based on compressive loading Zulkifli, Ahmad@Manap A. K., Ariffin TJ Mechanical engineering and machinery The objective of this study is to determine the probability of injury of human crack vertebra condition subjected to compressive loading. The model had been used in this study was reconstructed from image processing and develop using SolidWorks software. The three dimensional finite element model of lumbar vertebra was organized using Ansys software. In this work, all the model components were meshed using the tetrahedral solid element (SOLID186). In order to simplify it, all the components were modeled as an isotropic, elastic material and symmetry model. The model failure was occurred when the stress intensity factor (SIF) of the bone exceeds the fracture toughness. Biological structures as well as vertebrae inherent a lot of related uncertainties and should not be solved by deterministic analysis. A Monte Carlo Simulation (MCS) technique was performed to conduct the probabilistic analysis using a built-in parametric design language (APDL) module. The results discovered that the highest stress was found on adjacent pedicle to create the weakness area and probability of failure for cracked structure condition is 2%. Therefore, pedicle was become the most crucial area to be emphasize. In addition, any flaws exist on the model such as crack will give a huge impact to the results, especially fracture. Hence, the current study was very useful to examine how the bone toughness and bone characteristics capable of sustained compressive loading in terms of probabilistic approach. IJENS 2012 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26953/1/Monte%20Carlo%20analysis%20of%20the%20human%20vertebra%20based%20on%20compressive%20loading.pdf Zulkifli, Ahmad@Manap and A. K., Ariffin (2012) Monte Carlo analysis of the human vertebra based on compressive loading. International Journal of Mechanical & Mechatronics Engineering, 12 (5). pp. 69-73. ISSN 2077-124X https://www.scopus.com/record/display.uri?eid=2-s2.0-84872457009&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=universiti+malaysia+pahang&sid=4b4b7c8828b0dc4dc9e77c76bc070caf&sot=afnl&sdt=cl&cluster=scoopenaccess%2c%220%22%2ct%2
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Zulkifli, Ahmad@Manap
A. K., Ariffin
Monte Carlo analysis of the human vertebra based on compressive loading
description The objective of this study is to determine the probability of injury of human crack vertebra condition subjected to compressive loading. The model had been used in this study was reconstructed from image processing and develop using SolidWorks software. The three dimensional finite element model of lumbar vertebra was organized using Ansys software. In this work, all the model components were meshed using the tetrahedral solid element (SOLID186). In order to simplify it, all the components were modeled as an isotropic, elastic material and symmetry model. The model failure was occurred when the stress intensity factor (SIF) of the bone exceeds the fracture toughness. Biological structures as well as vertebrae inherent a lot of related uncertainties and should not be solved by deterministic analysis. A Monte Carlo Simulation (MCS) technique was performed to conduct the probabilistic analysis using a built-in parametric design language (APDL) module. The results discovered that the highest stress was found on adjacent pedicle to create the weakness area and probability of failure for cracked structure condition is 2%. Therefore, pedicle was become the most crucial area to be emphasize. In addition, any flaws exist on the model such as crack will give a huge impact to the results, especially fracture. Hence, the current study was very useful to examine how the bone toughness and bone characteristics capable of sustained compressive loading in terms of probabilistic approach.
format Article
author Zulkifli, Ahmad@Manap
A. K., Ariffin
author_facet Zulkifli, Ahmad@Manap
A. K., Ariffin
author_sort Zulkifli, Ahmad@Manap
title Monte Carlo analysis of the human vertebra based on compressive loading
title_short Monte Carlo analysis of the human vertebra based on compressive loading
title_full Monte Carlo analysis of the human vertebra based on compressive loading
title_fullStr Monte Carlo analysis of the human vertebra based on compressive loading
title_full_unstemmed Monte Carlo analysis of the human vertebra based on compressive loading
title_sort monte carlo analysis of the human vertebra based on compressive loading
publisher IJENS
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/26953/1/Monte%20Carlo%20analysis%20of%20the%20human%20vertebra%20based%20on%20compressive%20loading.pdf
http://umpir.ump.edu.my/id/eprint/26953/
https://www.scopus.com/record/display.uri?eid=2-s2.0-84872457009&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=universiti+malaysia+pahang&sid=4b4b7c8828b0dc4dc9e77c76bc070caf&sot=afnl&sdt=cl&cluster=scoopenaccess%2c%220%22%2ct%2
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score 13.19449