Publication:
Finite element analysis of proximal femur in sideways fall under quasi-static loading
Finite element analysis of proximal femur in sideways fall under quasi-static loading
| cris.author.scopus-author-id | 58418392000 | |
| cris.author.scopus-author-id | 38362054200 | |
| cris.author.scopus-author-id | 26428832600 | |
| cris.author.scopus-author-id | 54683507500 | |
| cris.virtual.department | Universiti Malaysia Perlis | |
| cris.virtual.department | Universiti Malaysia Perlis | |
| cris.virtual.department | Universiti Malaysia Perlis | |
| cris.virtualsource.department | 61c4510a-aaa1-4b46-ba2c-6e117b4f3b4e | |
| cris.virtualsource.department | 27b3812e-d65e-4dab-8a70-85e528bb8c4a | |
| cris.virtualsource.department | ccf016e1-634e-4f03-a0ac-3992409d0f61 | |
| dc.contributor.author | Subramaniam D. | |
| dc.contributor.author | Fauziah Che Mat | |
| dc.contributor.author | Mohd Shukry Abdul Majid | |
| dc.contributor.author | Khairul Salleh Basaruddin | |
| dc.date.accessioned | 2024-10-04T00:25:36Z | |
| dc.date.available | 2024-10-04T00:25:36Z | |
| dc.date.issued | 2023-07-01 | |
| dc.description.abstract | Many researchers have investigated femur fractures using 3D models created with finite element (FE) software; however, these models need validation. Cadavers are used in experiments to validate the FE model. Nevertheless, there are several restrictions and obstacles to experimenting on the cadaver femur bone. The aim of this study was to investigate the effect of loading direction on the stress distribution and fracture risk of a proximal femur bone under quasi-static loading in a sideways fall condition. A validated 3D FE model of the proximal femur was developed by employing the results obtained from a quasi-static experimental test. Instead of cadaver, 3D-printed proximal femur bone was used. Various fall loading configurations were used to simulate a sideways fall with inclination angles from 0° to 20° and rotational angles from −15° to 15°. The highest von Mises stress is due to sideways falls distributed in the femur neck region. This study provides new information on FE model construction and medical FE analysis. | |
| dc.identifier.doi | 10.1007/s12206-023-2210-y | |
| dc.identifier.scopus | 2-s2.0-85163893297 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14170/9148 | |
| dc.language.iso | en | |
| dc.relation.funding | Ministry of Higher Education, Malaysia | |
| dc.relation.grantno | FRGS/1/2018/TK03/UNIMAP/02/22 | |
| dc.relation.ispartof | Journal of Mechanical Science and Technology | |
| dc.relation.ispartofseries | Journal of Mechanical Science and Technology | |
| dc.relation.issn | 1738494X | |
| dc.subject | Femur bone | Finite element analysis | Quasi static | Rapid prototyping | Sideways fall | |
| dc.title | Finite element analysis of proximal femur in sideways fall under quasi-static loading | |
| dc.type | Journal | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 3325 | |
| oaire.citation.issue | 7 | |
| oaire.citation.startPage | 3315 | |
| oaire.citation.volume | 37 | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| oairecerif.author.affiliation | Universiti Malaysia Perlis | |
| oairecerif.author.affiliation | Universiti Malaysia Perlis | |
| oairecerif.author.affiliation | Universiti Malaysia Perlis | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.scopus-author-id | 58418392000 | |
| person.identifier.scopus-author-id | 38362054200 | |
| person.identifier.scopus-author-id | 26428832600 | |
| person.identifier.scopus-author-id | 54683507500 |
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