scholarly journals A direct Jacobian total Lagrangian explicit dynamics finite element algorithm for real‐time simulation of hyperelastic materials

2021 ◽  
Author(s):  
Jinao Zhang
Keyword(s):  
Finite Element ◽  
Real Time ◽  
Real Time Simulation ◽  
Hyperelastic Materials ◽  
Explicit Dynamics ◽  
Time Simulation ◽  
Element Algorithm ◽  
Total Lagrangian Explicit Dynamics

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

Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials

2017 ◽  
Vol 36 (3) ◽  
pp. 1-16 ◽  
Author(s):  
Tiantian Liu ◽  
Sofien Bouaziz ◽  
Ladislav Kavan
Keyword(s):  
Real Time ◽  
Newton Methods ◽  
Real Time Simulation ◽  
Hyperelastic Materials ◽  
Time Simulation ◽  
Quasi Newton

Radial Basis Function Network (RBFN) Approximation of Finite Element Models for Real-Time Simulation

2011 ◽  
Author(s):  
Madusudanan Sathia Narayanan ◽  
Puneet Singla ◽  
Sudha Garimella ◽  
Wayne Waz ◽  
Venkat Krovi
Keyword(s):  
Neural Network ◽  
Finite Element ◽  
Real Time ◽  
Haptic Feedback ◽  
Radial Basis Function Network ◽  
High Temporal Resolution ◽  
Fe Model ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Radial Basis

Nonlinearities inherent in soft-tissue interactions create roadblocks to realization of high-fidelity real-time haptics-based medical simulations. While finite element (FE) formulations offer greater accuracy over conventional spring-mass-network models, computational-complexity limits achievable simulation-update rates. Direct interaction with sensorized physical surrogates, in offline or online modes, allows a temporary sidestepping of computational issues but hinders parametric analysis and true exploitation of a simulation-based testing paradigm. Hence, in this paper, we develop Radial-Basis Neural-Network approximations, to FE-model data within a Modified Resource Allocating Network (MRAN) framework. Real-time simulation of the reduced order neural-network approximations at high temporal resolution provided the haptic-feedback. Validation studies are being conducted to evaluate the kinesthetic realism of these models with medical experts.

Quasi-newton methods for real-time simulation of hyperelastic materials

2017 ◽  
Vol 36 (4) ◽  
pp. 1 ◽  
Author(s):  
Tiantian Liu ◽  
Sofien Bouaziz ◽  
Ladislav Kavan
Keyword(s):  
Real Time ◽  
Newton Methods ◽  
Real Time Simulation ◽  
Hyperelastic Materials ◽  
Time Simulation ◽  
Quasi Newton

Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials

2017 ◽  
Vol 36 (4) ◽  
pp. 1 ◽  
Author(s):  
Tiantian Liu ◽  
Sofien Bouaziz ◽  
Ladislav Kavan
Keyword(s):  
Real Time ◽  
Newton Methods ◽  
Real Time Simulation ◽  
Hyperelastic Materials ◽  
Time Simulation ◽  
Quasi Newton
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