scholarly journals Face-based smoothed finite element method for real-time simulation of soft tissue

2017 ◽  
Author(s):  
Andrea Mendizabal ◽  
Rémi Bessard Duparc ◽  
Huu Phuoc Bui ◽  
Christoph J. Paulus ◽  
Igor Peterlik ◽  
...  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Soft Tissue ◽  
Real Time ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Smoothed Finite Element Method ◽  
Element Method

scholarly journals Kalman Filter Finite Element Method for Real-Time Soft Tissue Modeling

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 53471-53483 ◽  
Author(s):  
Hujin Xie ◽  
Jialu Song ◽  
Yongmin Zhong ◽  
Chengfan Gu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Kalman Filter ◽  
Soft Tissue ◽  
Real Time ◽  
Tissue Modeling ◽  
Soft Tissue Modeling ◽  
Element Method

scholarly journals Survey of Finite Element Method-Based Real-Time Simulations

2019 ◽  
Vol 9 (14) ◽  
pp. 2775 ◽  
Author(s):  
Dragan Marinkovic ◽  
Manfred Zehn
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Real Time ◽  
The Finite Element Method ◽  
Typical Application ◽  
Time Simulation ◽  
Simulation Based ◽  
Rapid Pace ◽  
Real Time Simulations ◽  
Element Method

The finite element method (FEM) has deservedly gained the reputation of the most powerful, highly efficient, and versatile numerical method in the field of structural analysis. Though typical application of FE programs implies the so-called “off-line” computations, the rapid pace of hardware development over the past couple of decades was the major impetus for numerous researchers to consider the possibility of real-time simulation based on FE models. Limitations of available hardware components in various phases of developments demanded remarkable innovativeness in the quest for suitable solutions to the challenge. Different approaches have been proposed depending on the demands of the specific field of application. Though it is still a relatively young field of work in global terms, an immense amount of work has already been done calling for a representative survey. This paper aims to provide such a survey, which of course cannot be exhaustive.

A study of real-time simulation of liver of virtual surgical robot based on biologically position-based dynamic model

2021 ◽  
pp. 1-16
Author(s):  
Dan Luo ◽  
Yu Zhang ◽  
Jia Li ◽  
Jisheng Li
Keyword(s):  
Soft Tissue ◽  
Real Time ◽  
Surgical Instruments ◽  
Organic Polymer ◽  
Tetrahedral Mesh ◽  
Virtual Surgery ◽  
Constraint Force ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Spring Force

Virtual surgery robot can accurately modeling of surgical instruments and human organs, and realistic simulation of various surgical phenomena such as deformation of organic tissues, surgery simulation system can provide operators with reusable virtual training and simulation environment. To meet the requirement of virtual surgery robot for the authenticity and real-time of soft tissue deformation and surgical simulation in liver surgery, a new method is proposed to simulate the deformation of soft tissue. This method combines the spring force, the external force of the system, and the constraint force produced by the constraint function of the position-based dynamics. Based on the position-based dynamics, an improved three-parameter mass-spring model is added. In the calculation of the elastic force, the nonlinearity and viscoelasticity of the soft tissue are introduced, and the joint force of the constraint projection process and the constraint force of the position-based dynamics is used to modify mass points movement. The method of position-based dynamics based on biological characteristics, not only considers the biomechanical properties of biological soft tissue as an organic polymer such as viscoelasticity, nonlinearity, and incompressibility but also retains the rapidity and stability of the position based dynamic method. Through the simulation data, the optimal side length of tetrahedral mesh in the improved three-parameter model is obtained, and the physical properties of the model are proved. The real-time simulation of the liver and other organs is completed by using the Geomagic touch force feedback device, which proves the practicability and effectiveness of this method.

scholarly journals A Hybrid Smoothed Finite Element Method for Predicting the Sound Field in the Enclosure with High Wave Numbers

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Haitao Wang ◽  
Xiangyang Zeng ◽  
Ye Lei
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Sound Field ◽  
Numerical Dispersion ◽  
Computational Accuracy ◽  
Dispersion Error ◽  
High Wave ◽  
Wave Numbers ◽  
Smoothed Finite Element Method ◽  
Element Method

Wave-based methods for acoustic simulations within enclosures suffer the numerical dispersion and then usually have evident dispersion error for problems with high wave numbers. To improve the upper limit of calculating frequency for 3D problems, a hybrid smoothed finite element method (hybrid SFEM) is proposed in this paper. This method employs the smoothing technique to realize the reduction of the numerical dispersion. By constructing a type of mixed smoothing domain, the traditional node-based and face-based smoothing techniques are mixed in the hybrid SFEM to give a more accurate stiffness matrix, which is widely believed to be the ultimate cause for the numerical dispersion error. The numerical examples demonstrate that the hybrid SFEM has better accuracy than the standard FEM and traditional smoothed FEMs under the condition of the same basic elements. Moreover, the hybrid SFEM also has good performance on the computational efficiency. A convergence experiment shows that it costs less time than other comparison methods to achieve the same computational accuracy.

Smoothed finite element method for analysis of multi-layered systems – Applications in biomaterials

2016 ◽  
Vol 168 ◽  
pp. 16-29 ◽  
Author(s):  
Eric Li ◽  
Junning Chen ◽  
Zhongpu Zhang ◽  
Jianguang Fang ◽  
G.R. Liu ◽  
...  
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Layered Systems ◽  
Smoothed Finite Element Method ◽  
Element Method
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