Implementing the Node Based Smoothed Finite Element Method as User Element in Abaqus for Linear and Nonlinear Elasticity

Kshrisagar, S.; Francis, Amrita; Yee, Jurng-Jae; Natarajan, Sendhil Kumar; Lee, Changkye

doi:10.32604/cmc.2019.07967

Cited by 11 publications

(2 citation statements)

References 6 publications

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“…Modeling soft tissue deformation is one of the most critical techniques in the virtual surgical training system [4]. The common models for soft tissue deformation are the finite element model (FEM) [5][6][7], mass-spring model (MSM) [8][9][10][11][12] and position-based dynamics (PBD) approach [13][14][15]. Since the FEM can capture the biological characteristics of soft tissue precisely by Young's modulus and Poisson's ratio, it has a good deformation accuracy.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

2020

KSII TIIS

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To improve the accuracy and realism of the virtual surgical simulation system, this paper proposes an optimized mass-spring model with shape restoration ability based on volume conservation to simulate soft tissue deformation. The proposed method constructs a soft tissue surface model that adopts a new flexion spring for resisting bending and incorporates it into the mass-spring model (MSM) to restore the original shape. Then, we employ the particle swarm optimization algorithm to achieve the optimal solution of the model parameters. Besides, the volume conservation constraint is applied to the position-based dynamics (PBD) approach to maintain the volume of the deformable object for constructing the soft tissue volumetric model base on tetrahedrons. Finally, we built a simulation system on the PHANTOM OMNI force tactile interaction device to realize the deformation simulation of the virtual liver. Experimental results show that the proposed model has a good shape restoration ability and incompressibility, which can enhance the deformation accuracy and interactive realism.

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Section: Introductionmentioning

confidence: 99%

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

2020

KSII TIIS

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“…Nowadays, the finite element model [8][9][10], the meshless model [11][12] and the mass-spring model [13][14] are commonly used in virtual surgery training. The finite element model has high precision and adaptability, it can simulate large-scale soft tissue deformation, but its modeling is relatively complex, and it requires a lot of complicated numerical calculations, not suitable for real-time performance [15][16]. Wei et al [17] proposed a method for rendering the human head stiffness based on the finite element model.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Model for the Local Compression Deformation of Soft Tissue

Zhang¹,

Yu²,

Sun³

et al. 2020

KSII TIIS

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Due to the long training time and high training cost of traditional surgical training methods, the emerging virtual surgical training method has gradually replaced it as the mainstream. However, the virtual surgical system suffers from poor authenticity and high computational cost problems. For overcoming the deficiency of these problems, we propose an optimized model for the local compression deformation of soft tissue. This model uses a simulated annealing algorithm to optimize the parameters of the soft tissue model to improve the authenticity of the simulation. Meanwhile, although the soft tissue deformation is divided into local deformation region and non-deformation region, our proposed model only needs to calculate and update the deformation region, which can improve the simulation real-time performance. Besides, we define a compensation strategy for the "superelastic" effect which often occurs with the mass-spring model. To verify the validity of the model, we carry out a compression simulation experiment of abdomen and human foot and compare it with other models. The experimental results indicate the proposed model is realistic and effective in soft tissue compression simulation, and it outperforms other models in accuracy and real-time performance.

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Adaptive quadtree polygonal based edge-based smoothed finite element method for quasi-incompressible hyperelastic solids

Lee¹,

Natarajan²

2023

Engineering Analysis with Boundary Elements

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Implementing the Node Based Smoothed Finite Element Method as User Element in Abaqus for Linear and Nonlinear Elasticity

Cited by 11 publications

References 6 publications

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

An Optimized Model for the Local Compression Deformation of Soft Tissue

Adaptive quadtree polygonal based edge-based smoothed finite element method for quasi-incompressible hyperelastic solids

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