| Title |
Material heterogeneity, microstructure, and microcracks demonstrate differential influence on crack initiation and propagation in cortical bone
|
|---|---|
| Published in |
Biomechanics and Modeling in Mechanobiology, May 2018
|
| DOI | 10.1007/s10237-018-1035-6 |
| Pubmed ID | |
| Authors |
Ahmet Demirtas, Ani Ural |
| Abstract |
The recent studies have shown that long-term bisphosphonate use may result in a number of mechanical alterations in the bone tissue including a reduction in compositional heterogeneity and an increase in microcrack density. There are limited number of experimental and computational studies in the literature that evaluated how these modifications affect crack initiation and propagation in cortical bone. Therefore, in this study, the entire crack growth process including initiation and propagation was simulated at the microscale by using the cohesive extended finite element method. Models with homogeneous and heterogeneous material properties (represented at the microscale capturing the variability in material property values and their distribution) as well as different microcrack density and microstructure were compared. The results showed that initiation fracture resistance was higher in models with homogeneous material properties compared to heterogeneous ones, whereas an opposite trend was observed in propagation fracture resistance. The increase in material heterogeneity level up to 10 different material property sets increased the propagation fracture resistance beyond which a decrease was observed while still remaining higher than the homogeneous material distribution. The simulation results also showed that the total osteonal area influenced crack propagation and the local osteonal area near the initial crack affected the crack initiation behavior. In addition, the initiation fracture resistance was higher in models representing bisphosphonate treated bone (low material heterogeneity, high microcrack density) compared to untreated bone models (high material heterogeneity, low microcrack density), whereas an opposite trend was observed at later stages of crack growth. In summary, the results demonstrated that tissue material heterogeneity, microstructure, and microcrack density influenced crack initiation and propagation differently. The findings also elucidate how possible modifications in material heterogeneity and microcrack density due to bisphosphonate treatment may influence the initiation and propagation fracture resistance of cortical bone. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 17% |
| Professor | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Researcher | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 12 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 34% |
| Materials Science | 3 | 9% |
| Medicine and Dentistry | 2 | 6% |
| Mathematics | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2018.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#285
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Outputs of similar age
#213,179
of 332,897 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#9
of 14 outputs
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