Efficient materially nonlinear $$\mu$$FE solver for simulations of trabecular bone failure

Stipsitz, Monika; Zysset, Philippe; Pahr, Dieter H.

doi:10.1007/s10237-019-01254-x

Cited by 23 publications

(26 citation statements)

References 39 publications

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“…[42]; DPY, Drucker-Prager yield; DLY, Drucker-Lode yield; PSD, principle strain damage [29]; LFD, Lee-Fenves plastic damage [22]; 1DY, one-dimensional yield; BM, Burger model; VMY, von Mises yield; VM+C+D, von Mises yield+cap+ element deletion; CIY, cast iron yield; BD, Brittle damage [17]; DPY(Q)+D, DPY(Q)+densification [19]; CZM, cohesive zone model; PFM, phase-field model; DPD+D, DP+Q damage onset+element deletion; GMM, generalized Maxwell model found: first, direct homogenization of the apparent level by using bone density (power laws [16,45]) and, in some cases, the orientation of the trabecular network (fabric [31,32] Damage and Fracture Interestingly, models including fracture mechanics became increasingly popular in the last years. Either rather simple "element deletion" models [46,51] or more sophisticated fracture energy-based models [26,45] have been published. Such approaches are more and more used in engineering fields and are available in commercial software packages which makes their use relatively easy.…”

Section: Resultsmentioning

confidence: 99%

“…Interestingly, models including fracture mechanics became increasingly popular in the last years. Either rather simple “element deletion” models [ 46 , 51 ] or more sophisticated fracture energy-based models [ 26 , 45 ] have been published. Such approaches are more and more used in engineering fields and are available in commercial software packages which makes their use relatively easy.…”

Section: Review Of Recent Constitutive Modelsmentioning

confidence: 99%

“…It allows for any nonlinearity and the possibility of user material modeling. Parallelizable codes like Feap (University of California, Berkeley) and ParOSol (ETH Zürich, Switzerland) also formed the basis for some studies which provide even more implementation flexibility and a better parallel execution performance [ 46 ].…”

Section: Review Of Recent Constitutive Modelsmentioning

confidence: 99%

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A Review on Recent Advances in the Constitutive Modeling of Bone Tissue

Pahr

Reisinger

2020

Curr Osteoporos Rep

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Purpose of Review Image-based finite element analysis (FEA) to predict and understand the biomechanical response has become an essential methodology in musculoskeletal research. An important part of such simulation models is the constitutive material model of which recent advances are summarized in this review. Recent Findings The review shows that existing models from other fields were introduced, such as cohesion zone (cortical bone) or phase-field models (trabecular bone). Some progress has been made in describing cortical bone involving physical mechanisms such as microcracks. Problems with validations at different length scales remain a problem. Summary The improvement of recent constitutive models is partially obscured by uncertainties that affect overall predictions, such as image quality and calibration or boundary conditions. Nevertheless, in vivo CT-based FEA simulations based on a sophisticated constitutive behavior are a very valuable tool for clinical-related osteoporosis research.

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Section: Resultsmentioning

confidence: 99%

Section: Review Of Recent Constitutive Modelsmentioning

confidence: 99%

Section: Review Of Recent Constitutive Modelsmentioning

confidence: 99%

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A Review on Recent Advances in the Constitutive Modeling of Bone Tissue

Pahr

Reisinger

2020

Curr Osteoporos Rep

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“…Microstructural failure and reduction in whole‐bone mechanical properties are critical indicators of age‐related osteoporotic hip fracture. Ex vivo high‐resolution microCT‐based FEA has shown that initial failure of the proximal femur under sideways fall loading is associated with failure of just a tiny proportion of the bone tissue 29,30 . MRI‐FEA is able to assess microstructural and whole‐bone mechanical behavior of the hip without exposing subjects to ionizing radiation.…”

Section: Discussionmentioning

confidence: 99%

In Vivo Assessment of Age‐ and Loading Configuration‐Related Changes in Multiscale Mechanical Behavior of the Human Proximal Femur Using MRI‐Based Finite Element Analysis

Zhang

Wang

et al. 2020

Magnetic Resonance Imaging

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Background MRI‐based finite element analysis (MRI‐FEA) is the only method able to assess microstructural and whole‐bone mechanical properties of the hip in vivo. Purpose To examine whether MRI‐FEA is capable of discriminating age‐related changes in whole‐bone mechanical performance and micromechanical behavior of the proximal femur, particularly considering the most common hip fracture‐related sideways fall loading. Study Type Retrospective. Subjects A total of nine younger (27 ± 3.2 years) and nine elderly (61 ± 3.9 years) healthy volunteers. Field Strength/Sequence 3T; 3D fast field echo sequence. Assessment The left proximal femurs were scanned and FE models created. FEA was performed to simulate sideways fall and stance loading for each femoral model. Apparent stiffness and high‐risk (90th percentile) tensile and compressive strains of the proximal femur as well as the average strains within cubic regions of the femoral neck and greater trochanter were assessed. Statistical Tests Paired and unpaired t‐tests. Results Compared to the young group, the femoral stiffness of the elderly decreased by 39% and 40% (both P < 0.05) under the sideways fall and stance conditions, respectively. Accordingly, the high‐risk tensile and compressive stains were elevated with aging (40% and 23% for sideways fall, 23% and 11% for stance conditions; all P < 0.05). However, the loading configuration‐induced difference was only observed in the elderly group for the high‐risk strains (22% for tension and 12% for compression; both P < 0.05). Additionally, compared to the stance condition, the sideways fall increased the average tensile (young: 108%, elderly: 123%; both P < 0.05) and compressive strains (young: 631%, elderly: 617%, both P < 0.05) within the greater trochanter rather than the femoral neck region. Data Conclusion In vivo MRI‐FEA is capable of capturing age‐related changes in both apparent‐level stiffness and tissue‐level micromechanical behavior of the proximal femur. However, the effect of sideways fall loading might be better reflected by tissue‐level micromechanics rather than apparent stiffness. Level of Evidence 3 Technical Efficacy Stage 1

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“…(12) and (14). First, using the spin tensor 14was used in [120][121][122][123][124][125][126][127] for modeling of the biological tissues, however, without referencing sources [117][118][119]. Third, the present model reflects the characteristic features of the anisotropic bimodular materials [128,129].…”

Section: Fig 12 Stiffening Of Meningioma As Measured By Mre : Ct Immentioning

confidence: 99%

Neuromechanical characterization of brain damage in response to head impact and pathological changes

Zolochevsky¹,

Мартыненко

2020

The Journal of v. N. Karazin Kharkiv National University, Series "Medicine"

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Traumatic injuries to the central nervous system (brain and spinal cord) have received special attention because of their devastating socio-economical cost. Functional and morphological damage of brain is the most intricate phenomenon in the body. It is the major cause of disability and death. The paper involves constitutive modeling and computational investigations towards an understanding the mechanical and functional failure of brain due to the traumatic (head impact) and pathological (brain tumor) events within the framework of continuum damage mechanics of brain. Development of brain damage has been analyzed at the organ scale with the whole brain, tissue scale with white and gray tissue, and cellular scale with an individual neuron. The mechanisms of neurodamage growth have been specified in response to head impact and brain tumor. Swelling due to electrical activity of nervous cells under electrophysiological impairments, and elastoplastic deformation and creep under mechanical loading of the brain have been analyzed. The constitutive laws of neuromechanical behavior at large strains have been developed, and tension-compression asymmetry, as well as, initial anisotropy of brain tissue was taken into account. Implementation details of the integrated neuromechanical constitutive model including the Hodgkin-Huxley model for voltage into ABAQUS, ANSYS and in-house developed software have been considered in a form of the computer-based structural modeling tools for analyzing stress distributions over time in healthy and diseased brains, for neurodamage analysis and for lifetime predictions of diseased brains. The outcome of this analysis will be how the neuromechanical simulations applied to the head impact and brain tumor therapies may assist medical specialists with their decisions during planning and application of medical surgeries.

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Efficient materially nonlinear $$\mu$$FE solver for simulations of trabecular bone failure

Cited by 23 publications

References 39 publications

A Review on Recent Advances in the Constitutive Modeling of Bone Tissue

A Review on Recent Advances in the Constitutive Modeling of Bone Tissue

In Vivo Assessment of Age‐ and Loading Configuration‐Related Changes in Multiscale Mechanical Behavior of the Human Proximal Femur Using MRI‐Based Finite Element Analysis

Neuromechanical characterization of brain damage in response to head impact and pathological changes

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