Effect of parametric uncertainties on fracture behavior of cortical bone using XIGA

Soni, Aakash; Kumar, Sachin; Kumar, Navin

doi:10.1016/j.engfracmech.2020.107079

Cited by 12 publications

(6 citation statements)

References 48 publications

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“…104 One of the researchers considered the XIGA and predicted that the osteon’s Young’s modulus, cement line thickness, and porosity percentage affected the value of SIF and cracked propagation in cortical bone. 106 A recently published review article elaborated the advancements in different modeling methods at multiple length scales (nano to macroscale) for fracture mechanics of bone (cortical and cancelous bone). 107 The experimental and numerical mechanism to determine the fracture parameters of cortical bone is presented in Figure 3.…”

Section: Experimental and Numerical Analysis Of Cortical Bone Fracture Parametersmentioning

confidence: 99%

“…In the last 5 years, different numerical methods (FEM, EFGM, XFEM, and extended isogeometric analysis (XIGA)) have been advanced and extensively used for complex fracture analysis of the cortical bone. 99–107 Several XFEM studies indicated that fracture load and crack propagation path in cortical bone are highly affected by the cement line, cortical porosity, bone heterogeneity, and other microstructural issues. 99–101,105 FEM has been used to quantify the effect of heterogeneity, microstructure, and microcracks on fracture resistance, crack initiation and crack propagation.…”

Section: Experimental and Numerical Analysis Of Cortical Bone Fractur...mentioning

confidence: 99%

“…Several researchers performed advanced multiscale modeling (mesoscale, microscale, macroscale, nanoscale) in the fracture analysis of cortical bone to get additional information about the fracture mechanics of cortical bone. 19,99–107,214 One of the recently published review papers presented a summary of different computational modeling approaches considered in the fracture analysis of cortical bone at multiple length scales spanning nano to macroscale with each approach’s strength and limitations. 107 The cohesive modeling approach was found to be more effective in understanding the fracture toughening behavior as compared to LEFM.…”

Section: Limitations and Recommendationsmentioning

confidence: 99%

See 2 more Smart Citations

A review on experimental and numerical investigations of cortical bone fracture

Kumar

Ghosh

2022

Proc Inst Mech Eng H

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This paper comprehensively reviews the various experimental and numerical techniques, which were considered to determine the fracture characteristics of the cortical bone. This study also provides some recommendations along with the critical review, which would be beneficial for future research of fracture analysis of cortical bone. Cortical bone fractures due to sports activities, climbing, running, and engagement in transport or industrial accidents. Individuals having different diseases are also at high risk of cortical bone fracture. It has been observed that osteon orientation influences cortical bone fracture toughness and fracture mechanisms. Apart from this, recent studies indicate that fracture parameters of cortical bone also depend on many factors such as age, sex, temperature, osteoporosis, orientation, location, loading condition, strain rate, and storage facility, etc. The cortical bone regains its fracture toughness due to various toughening mechanisms. Owing to these factors, several experimental, clinical, and numerical investigations have been carried out to determine the fracture parameters of the cortical bone. Cortical bone is the dense outer surface of the bone and contributes to 80%–82% of the skeleton mass. Cortical bone experiences load far exceeding body weight due to muscle contraction and the dynamics of motion. It is very important to know the fracture pattern, direction of fracture, location of the fracture, and toughening mechanism of cortical bone. A basic understanding of the different factors that affect the fracture parameters and fracture mechanisms of the cortical bone is necessary to prevent the failure and fracture of cortical bone. This review has summarized the advancement considered in the various experimental techniques and numerical methods to get complete information about the fracture mechanisms of cortical bone.

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Section: Experimental and Numerical Analysis Of Cortical Bone Fracture Parametersmentioning

confidence: 99%

Section: Experimental and Numerical Analysis Of Cortical Bone Fractur...mentioning

confidence: 99%

Section: Limitations and Recommendationsmentioning

confidence: 99%

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A review on experimental and numerical investigations of cortical bone fracture

Kumar

Ghosh

2022

Proc Inst Mech Eng H

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“…This saves time that goes into defining the mesh and prevents geometric errors in the analysis. Further, XIGA has been extended for crack growth analysis of isotropic and orthogonal materials [50][51] and cortical bone fracture modelling [52]. However, it also requires different enrichment functions to model different material problems similar to XFEM.…”

Section: Introductionmentioning

confidence: 99%

Smoothed floating node method for modelling 2D arbitrary crack propagation problems

Singh

Kumar

Chen

2022

Theoretical and Applied Fracture Mechanics

Self Cite

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“…By using the extended finite element method, anisotropic damage initiation criteria are developed to predict the crack initiation and propagation in cortical bone [12] . The fracture characteristics of cortical bone at the micro level Article ID 1007-1202(2022)05-0375-08 DOI https://doi.org/10.1051/wujns/2022275375 are studied by extended isogeometric analysis, and the effect of uncertainties in the osteon Young􀆳s modulus, cement line thickness and porosity percentage on the stress intensity factor values and crack path trajectories is considered [13] . Maghami et al [14] investigated the role of material heterogeneity on crack growth trajectory in human cortical bone using a phase field fracture framework, and the material heterogeneity of microstructural and crack-microstructure interactions play important roles in bone fragility.…”

Section: Introductionmentioning

confidence: 99%

Cortical Bone Model with a Microcrack under Tensile Loading

Wang

CHEN

Ding

et al. 2022

Wuhan Univ. J. Nat. Sci.

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The fracture mechanics of cortical bone has received much attention in biomedical engineering. It is a fundamental question how the material constants and the geometric parameters of the cortical bone affect the fracture behavior of the cortical bone. In this work, the plane problem for cortical bone with a microcrack located in the interstitial tissue under tensile loading was considered. Using the solution for the continuously distributed edge dislocations as Green's functions, the problem was formulated as singular integral equations with Cauchy kernels. The numerical results suggest that a soft osteon promotes microcrack propagation, while a stiff osteon repels it, but the interaction effect between the microcrack and the osteon is limited near the osteon. This study not only sheds light on the fracture mechanics behavior of cortical bone but also offers inspiration for the design of bioinspired materials in biomedical engineering.

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Effect of parametric uncertainties on fracture behavior of cortical bone using XIGA

Cited by 12 publications

References 48 publications

A review on experimental and numerical investigations of cortical bone fracture

A review on experimental and numerical investigations of cortical bone fracture

Smoothed floating node method for modelling 2D arbitrary crack propagation problems

Cortical Bone Model with a Microcrack under Tensile Loading

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