Material Assignment in Finite Element Modeling

Xin, Pengfei; Nie, Pulin; Jiang, Bin; Deng, Simin; Hu, Guanghong; Shen, Steve Guofang

doi:10.1097/scs.0b013e31827ff137

Cited by 15 publications

(12 citation statements)

References 14 publications

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“…For such outlying results, we find the support too weak to use their measured material properties over the properties used in the rest of the included studies. Xin et al (2013) muscle from the analysis and using the condyles to either fixate the mandible in space (Clason et al, 2004;Gröning et al, 2009;Vollmer et al, 2000), or to apply a resultant force Ramos et al, 2017Ramos et al, , 2019.…”

Section: Discussionmentioning

confidence: 99%

“…The PubMed electronic database search resulted in a total of 137 papers matching our search term, published between 1992 and 2019. Seven papers complied with the inclusion criteria, as shown in Table 1 (Clason, Hinz, & Schieferstein, 2004;Gröning, Liu, Fagan, & O'Higgins, 2009;Ramos, Gonzalez-Perez, Infante-Cossio, & Mesnard, 2019;Ramos, Nyashin, & Mesnard, 2017;Vollmer, Meyer, Joos, Vègh, & Piffkò, 2000;Xin et al, 2013). Of these, four papers were written by the same authors (Ramos & Mesnard) Ramos et al, 2017Ramos et al, , 2019 who used of the same or a very similar FEA model and validation method, resulting in a total of four unique study models to compare.…”

Section: Re Sultsmentioning

confidence: 99%

“…Through mathematical formulae, the attenuation values, expressed in Hounsfield unit (HU) or grey value (GV), and material properties such as YM and PR can be extracted. The formulae used in the literature for this extraction were empirically determined and differ from each other since the tested samples origin from different anatomical positions (Cioffi et al, 2007;van Ruijven, Mulder, & van Eijden, 2007;Xin et al, 2013).…”

Section: Bone Geometry and Property Acquisitionmentioning

confidence: 99%

“…Xin et al (2013) applied heterogeneous material properties whereby the material property assignment was matched to the local attenuation properties. They divided the CT GV range into ten equally distributed intervals and assigned a set of material properties to each of these intervals, creating ten different materials.…”

mentioning

confidence: 99%

“…There are great variations between the FEA models due to differences in the input factors such as constraints, load application, mechanical properties of the bone, muscle forces and muscle force directions. Xin et al (2013) describe three different material composition options to approach the mandible mechanically, namely a solid model with homogeneous material properties (Kavanagh et al, 2008) and two solid models composed of cortical and cancellous volume, each with their own homogeneous material properties (Gautam, Zhao, & Patel, 2011;Xiangdong, Limin, & Shizhen, 2012) and a heterogeneous or orthotropic material assignment, meaning the bulk material properties are not the same in all directions (Bujtar, Simonovics, Varadi, Sandor, & Avery, 2014;Huang, Tsai, Lin, Chien, & Hsu, 2010;Taylor et al, 2002) (Figure 1). Generally, loads are approached with simplified musculatory models, of only one muscle group or resultant force.…”

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confidence: 99%

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Patient‐specific finite element models of the human mandible: Lack of consensus on current set‐ups

et al. 2020

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Over the last decennia, a large variety of osteosynthesis plates and prostheses has been presented in the literature for the treatment of, for example, trauma, oncology or TMJ patients. These applications have in common that failure (loosening or fracturing) of the implanted material, or the screw-fixation of the implant to the patient's bone will often result in failure of the application. It appears crucial for success that the implanted osteosynthesis plates and its fixations are of a matching strength for the patient's specific situation. Mandibular reconstruction failure through either osteosynthesis plate failure or screw loosening are widely reported in the literature as the most common

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Section: Discussionmentioning

confidence: 99%

Section: Re Sultsmentioning

confidence: 99%

Section: Bone Geometry and Property Acquisitionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Patient‐specific finite element models of the human mandible: Lack of consensus on current set‐ups

et al. 2020

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A statistical analysis of human talar shape and bone density distribution

Stolle,

Harper,

Voegele

et al. 2024

Journal Orthopaedic Research

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The shape of the talus, its internal structure, and its mechanical properties are important in determining talar behavior during loading, which may be significant for the design of surgical tools and implants. Although recent studies using statistical shape modeling have described quantitative talar external shape variation, no similar quantitative study exists to describe the density distribution of internal talar structure. The goal of this study is to quantify statistical variation in talar shape and density to benefit the design of talar implants. To this end, weight‐bearing computed tomography (CT) scans of the ankle were collected in neutral, bilateral standing posture, and three‐dimensional models were generated for each talus. Local density derived from the Hounsfield unit of each CT voxel was extracted. A weighted spherical harmonic analysis was performed to quantify the talar external shape. One hundred and seventy‐nine volumes of interest were placed in the same relative position within each talus to quantify the talar density. Additionally, a finite element analysis (FEA) was conducted on a talus with both heterogeneous and homogeneous material properties to observe the effect of these properties on the stress and strain response. Significant differences were found in the talar density in sex and age, as well as in the stress and strain response between homogeneous and heterogeneous FEA. These differences show the importance of considering heterogeneity when examining the load response of tarsal bones.

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