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Abaqus 6

Manufactured by Dassault Systèmes
Sourced in France, United States

Abaqus 6.14 is a finite element analysis software package developed by Dassault Systèmes. It is designed to simulate the behavior of materials and structures under a variety of loading conditions, including static, dynamic, and thermal loads. The software provides a comprehensive suite of tools for modeling, analysis, and visualization, allowing users to study the performance and reliability of their designs.

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44 protocols using abaqus 6

1

Finite Element Analysis of PTTD

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Four featured time instants were extracted for analysis. They were identified by the occurrence of the first GRF peak (25% stance), the GRF valley (45% stance), the heeloff instant (60% stance), and the second GRF peak (75% stance).
Mild PTTD was simulated by unloading the tibialis posterior on the intact model.
To simulate severe PTTD, in addition to the unloading, the stiffness values of some stabilization structures were reduced by half, including those of the spring ligament, the short plantar ligament, and the medial portions (1 st to 3 rd columns) of the long plantar ligament and the plantar aponeurosis (Arangio et al. 2004 ). Subtalar arthroereisis was then performed under the mild and severe PTTD conditions. In all, five sets of simulations/conditions were completed.
The FE analysis was carried out using the commercially available FE software ABAQUS 6.11 (SIMULIA, Dassault Systèmes, USA) with the standard (quasi-static) solver. The load transfers through the midfoot and the medial column were studied, which were represented by the contact force magnitudes across the joints. In addition, the von Mises stress of the metatarsal shafts was extracted for analysis.
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2

Multiscale Musculoskeletal Modeling

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CT images at BS, M4, M16 and M28 were registered and segmented with ScanIP 7.0 (Simpleware Ltd, Exeter, UK) and Amira 4.1.2 (Mercury Computer Systems, Inc., Chelmsford, MA, USA); based upon which the parametric non-uniform rational basis splines (NURBs) models were generated using Rhinoceros (Robert McNeel & Associates, Seattle, US); and imported into finite element (FE) analysis code ABAQUS 6.11 (Dassault Systèmes, Tokyo, Japan). The bony tissues were featured with the CT-based heterogeneous distribution (Field et al., 2010) , which were calculated through interpolation between the lowest and highest densities in terms of Hounsfield units (HU) (Liao et al., 2016) . The orthotropic cortical layer was also incorporated by employing the curve fitting results as presented in (Liao et al., 2017) . The full details of FE modeling, including the material properties, loading and boundary conditions, as shown in Fig. 3, were established by following our previous studies (Chen et al., 2015; Liao et al., 2015) . The scalar components that form the vector of each resultant muscle force are summarized in Table 1.
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3

Finite Element Modeling of Foot Biomechanics

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Based on our previous age-matched model that passed the mesh convergence test (Wong et al., 2018 (link)), we assumed that the mesh sizes of the encapsulated soft tissue, forefoot bones, and other bones were 4, 2, and 3 mm, respectively. In addition, local refinement was carried out to accommodate contact regions, fine and abrupt geometry. Solid parts including the osseous structures and the encapsulated soft tissue were meshed using the linear tetrahedral elements (C3D4), while trusses were meshed using two-node truss elements (T3D2). The encapsulated soft tissue was wrapped by a layer of 3-node triangular membrane elements (M3D3) to represent the skin layer.
The mesh creation process was conducted in the FE software, Abaqus 6.11 (Dassault Systèmes, Vélizy-Villacoublay, France). The number of elements for the bones, the encapsulated soft tissue, and the skin layer was 130,836, 157,214, and 7,526, respectively.
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4

Finite Element Simulation of Ankle Injury Biomechanics

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The finite element simulation was carried out in Abaqus 6.11 (Dassault Systèmes, RI, USA). For the contact between the encapsulated soft tissue and ground, the coefficient of friction was set to 0.6 [35 (link)]. Two load cases were preceded for validation purpose. Firstly, the boundary and loading conditions simulated the axial compression test of a cadaveric study [6 (link)]. The proximal tibia and fibula, and the encapsulated soft tissue were fixed in all six degrees of freedom. An impactor would strike on the foot through a foot plate at 5.0 m/s (Fig 1). Since the mass of the impactor was not specified in the cadaveric study [6 (link)], it was approximated to 7 kg based on other similar studies [8 (link), 9 ]. The foot plate weighed 4.5 kg, comprised of a foam part and a rigid part. A compression force of 270N (half of body weight) would be applied once the foot plate hit and came into contact with the foot.
Another load case that included the Achilles tendon force would also be resembled. The Achilles tendon would be loaded 1.94kN and the same amount of force was also added to the compressive load [6 (link)]. A parametric analysis would then be carried out with the basic setting of the same cadaveric study [6 (link)], but simulated with different impact velocities (2.0 to 7.0 m/s).
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5

3D-FEM Spinal Cord Model with Ossification

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Abaqus 6.11 (Dassault Systèmes Simulia Corporation, Providence, RI, USA) finite element package was used for FEM simulation. The 3D-FEM spinal cord model established in this study consisted of gray and white matter, as well as pia mater (Fig. 1). To simplify calculations in the model, the denticulate ligament, dura and nerve root sheaths were not included. The pia mater was included since it has been previously identified that the spinal cord with and without this component shows significantly different mechanical behavior (3 (link)). The spinal cord was assumed to be symmetrical around the mid-sagittal plane; therefore, only half the spinal cord required reconstruction and the whole model was integrated by mirror image. For computed tomography-myelography (CTM) measurement, the vertical length of the spinal cord was two vertebral bodies (~40 mm).
The lamina model was established by measuring CTM and magnetic resonance imaging (MRI) and simulated cervical OPLL. A rigid, wide trapezium body with a slope of 30° was used to simulate cervical OPLL by measuring the MRI of paper (Fig. 2) (1 (link)).
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6

Biomechanical Simulation of Posterior Tibial Tendon Dysfunction

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The simulation was conducted with Abaqus 6.11 (Dassault Systèmes, Vélizy-Villacoublay, France) using the standard quasi-static solver. The onset of PTT condition was mimicked by unloading the tibialis posterior which was then compared to that with normal tibialis posterior loading (Imhauser et al., 2004; Wong et al., 2017) . The joint forces of the rearfoot, medial column and midfoot were analyzed.
The joint force was represented by the contact force of the bone-to-bone interaction, which incorporated the non-linear contact stiffness of the cartilage. The tensile strains of the seven selected plantar ligaments, including the plantar first metatarsocuneiform, intermetatarsal, tarsometatarsal, intercuneiform, cuneocuboid, naviculocuneiform, cuboideonavicular ligaments, were investigated.
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7

Finite Element Modeling of Encapsulated Soft Tissue

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The mesh was created using the finite element software, Abaqus 6.11 (Dassault Systèmes, Vélizy-Villacoublay, France). Linear tetrahedral elements (C3D4) was constructed in the solid parts, such as the bones and the encapsulated soft tissue. Quadrilateral elements (S4R) were created on shell parts, while truss parts were assigned with two-node truss elements (T3D2).
The mesh size was approximately 4 mm for the encapsulated soft tissue and 2.5 mm for the other structures. Local refinement of mesh was carried out on small parts, contact regions, and abrupt geometry. There were 124,730 elements in the bone. The encapsulated soft tissue was meshed with 84,258 tetrahedral elements (C3D4) and covered by 9,356 triangular elements (S3) representing the skin layer. Mesh convergence test was previously conducted with an estimated error less than 5% (Wong et al., 2015) .
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8

Calibration and Validation of Spinal Biomechanics Model

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Before using this model to study the biomechanical response of facets, its calibration and validation had to be operated. The calibration procedure was conducted according to the method presented by Schmidt et al. [32 (link), 33 ]. The calibration factors of collagen fibers and ligaments were varied in order to obtain the optimal values (i.e., for which the range of motion (ROM) predicted by the model well matched the in vitro experimental results).
Validation was then undertaken by comparing the predicted data obtained by the current model with the results from the literature. The range of motion of each segment under moment loading in the three anatomic planes and the disc compression under a follower load of 1200 N were calculated and compared with the experimental and simulated data presented by Renner et al. [22 ]. The boundary conditions and loading were set to replicate the in vitro experiment. The surface-to-surface contact between facet joints was defined as frictionless during the entire validation simulation, as well as for the following biomechanical study of facet. All the simulation works were conducted in a commercial finite element package (Abaqus 6.11; Dassault Systèmes Simulia Corporation, Pennsylvania, USA).
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9

Finite Element Mesh Generation Using ABAQUS

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ABAQUS-CAE was used to build the finite element meshes with 4-noded linear tetrahedrons. The optimal number of elements was chosen after simulating the convergence analysis to obtain sufficient accuracy in the results, then all simulations were performed using ABAQUS (ABAQUS 6.11, Dassault Systèmes, Vélizy-Villacoublay, France).
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10

Calibration and Validation of Lumbar Spine FE Model

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The calibration factors of annulus bers and ligaments were adjusted to complete the calibration process, and the detailed calibration process was introduced in previous literatures [34] [35] [36] . Then, the range of motion was predicted in various loading conditions (Flexion: 8 Nm; Extension: 6 Nm; Lateral Bending: 6 Nm; Torsion: 4 Nm), and compared with the data from in vitro experiments for validating the developed normal lumbar spine FE model [36] . Under 10 Nm pure moment, the ROM of L4-L5 segment in different degeneration models were also compared with in vitro experimental data [37] . These simulation works were implemented in a commercial nite element software (Abaqus 6.11; Dassault Systemes Simulia, Pennsylvania, USA).
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