Abstract
Current bone healing monitoring techniques (X-ray, CT, manual manipulation) are subjective and qualitative. A quantitative monitoring technique for an internally fixated femur based on vibrational techniques is investigated. An intramedullary (IM) nail fixated femur will be at the focus of the investigation. The femur and fixation were modelled and their structural dynamics were solved using finite element analysis. This allowed visualisation of various mode shapes and identification of those most sensitive to healing. It was found that torsional modes were most sensitive to the stiffness change associated with healing. This data was then used as a guide for the placement of simulated accelerometer sensors and the simulated excitation point to predict the cross spectrum data that would be obtained during an experiment. Upon analysis of this data the torsional mode suggests that a relationship can be drawn between the natural frequency of the torsion mode and the state of health.
| Original language | English |
|---|---|
| Title of host publication | Structural Health Monitoring 2017 |
| Subtitle of host publication | Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017 |
| Editors | Fu-Kuo Chang, Fotis Kopsaftopoulos |
| Publisher | DEStech Publications, Inc |
| Pages | 2442-2449 |
| Number of pages | 8 |
| Volume | 2 |
| ISBN (Electronic) | 9781605953304 |
| Publication status | Published - 2017 |
| Event | International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Stanford, United States of America Duration: 12 Sep 2017 → 14 Sep 2017 Conference number: 11th |
Conference
| Conference | International Workshop on Structural Health Monitoring 2017 |
|---|---|
| Abbreviated title | IWSHM 2017 |
| Country | United States of America |
| City | Stanford |
| Period | 12/09/17 → 14/09/17 |
Cite this
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Numerical simulation of vibrational methods for the healing assessment of an internally fixated femur. / Chiu, Wing Kong; Ong, Wern Hann; Russ, Matthias; Tran, Tin; Fitzgerald, Mark.
Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017. ed. / Fu-Kuo Chang; Fotis Kopsaftopoulos. Vol. 2 DEStech Publications, Inc, 2017. p. 2442-2449.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
TY - GEN
T1 - Numerical simulation of vibrational methods for the healing assessment of an internally fixated femur
AU - Chiu, Wing Kong
AU - Ong, Wern Hann
AU - Russ, Matthias
AU - Tran, Tin
AU - Fitzgerald, Mark
PY - 2017
Y1 - 2017
N2 - Current bone healing monitoring techniques (X-ray, CT, manual manipulation) are subjective and qualitative. A quantitative monitoring technique for an internally fixated femur based on vibrational techniques is investigated. An intramedullary (IM) nail fixated femur will be at the focus of the investigation. The femur and fixation were modelled and their structural dynamics were solved using finite element analysis. This allowed visualisation of various mode shapes and identification of those most sensitive to healing. It was found that torsional modes were most sensitive to the stiffness change associated with healing. This data was then used as a guide for the placement of simulated accelerometer sensors and the simulated excitation point to predict the cross spectrum data that would be obtained during an experiment. Upon analysis of this data the torsional mode suggests that a relationship can be drawn between the natural frequency of the torsion mode and the state of health.
AB - Current bone healing monitoring techniques (X-ray, CT, manual manipulation) are subjective and qualitative. A quantitative monitoring technique for an internally fixated femur based on vibrational techniques is investigated. An intramedullary (IM) nail fixated femur will be at the focus of the investigation. The femur and fixation were modelled and their structural dynamics were solved using finite element analysis. This allowed visualisation of various mode shapes and identification of those most sensitive to healing. It was found that torsional modes were most sensitive to the stiffness change associated with healing. This data was then used as a guide for the placement of simulated accelerometer sensors and the simulated excitation point to predict the cross spectrum data that would be obtained during an experiment. Upon analysis of this data the torsional mode suggests that a relationship can be drawn between the natural frequency of the torsion mode and the state of health.
UR - http://www.scopus.com/inward/record.url?scp=85032331242&partnerID=8YFLogxK
M3 - Conference Paper
VL - 2
SP - 2442
EP - 2449
BT - Structural Health Monitoring 2017
A2 - Chang, Fu-Kuo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications, Inc
ER -