scholarly journals Dynamic simulation of flexible fibers composed of linked rigid bodies

1997 ◽  
Vol 106 (7) ◽  
pp. 2949-2960 ◽  
Author(s):  
Russell F. Ross ◽  
Daniel J. Klingenberg
Keyword(s):  
Dynamic Simulation ◽  
Rigid Bodies ◽  
Flexible Fibers

A Comparison of Kinetostatic and Multibody Dynamics Models for Simulating Protein Structures

2007 ◽  
Author(s):  
Hai-Jun Su ◽  
Jesse Parker ◽  
Kazem Kazerounian ◽  
Horea Ilies
Keyword(s):  
Potential Energy ◽  
Molecular Dynamic Simulation ◽  
Molecular Dynamic ◽  
Dynamic Simulation ◽  
Multibody Dynamics ◽  
Energy State ◽  
Protein Structures ◽  
Rigid Bodies ◽  
Static Compliance ◽  
Protein Molecules

This paper presents an initial comparison of two approaches to energy minimization of protein molecules, namely the Molecular Dynamic Simulation and the Kineto-Static Compliance Method. Both methods are well established and are promising contenders to the seemingly insurmountable task of global optimization in the protein molecules potential energy terrain. The Molecular Dynamic Simulation takes the form of Constrained Multibody Dynamics of interconnected rigid bodies, as implemented at the Virtual Reality Application Center from Iowa State University. The Kineto-Static Compliance Method is implemented in the Protofold Computer package developed in the Mechanical Engineering Department at the University of Connecticut. The simulation results of both methods are compared through the trajectory of potential energy, the Root Mean Square Deviation (RMSD) of the alpha carbons, as well as based on visual observations. The preliminary results indicate that both techniques are very effective in converging the protein structure to a state with significantly less potential energy. At present, the converged solutions for the two methods are, however, different from each other and are very likely different from the global minimum potential energy state.

A method for dynamic simulation of rigid and flexible fibers in a flow field

1993 ◽  
Vol 98 (1) ◽  
pp. 644-650 ◽  
Author(s):  
Satoru Yamamoto ◽  
Takaaki Matsuoka
Keyword(s):  
Flow Field ◽  
Dynamic Simulation ◽  
Flexible Fibers

Influence of Flexible Bodies in Military Tracked Vehicle Dynamics

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
S. Jothi ◽  
V. Balamurugan ◽  
K.M. Mohan
Keyword(s):  
Dynamic Simulation ◽  
Rigid Bodies ◽  
The Finite Element Method ◽  
Tracked Vehicle ◽  
Finite Element Method Result ◽  
Flexible Bodies ◽  
Tracked Vehicles ◽  
Dynamic Studies ◽  
The Military ◽  
Test Result

Tracked vehicles are meant to be used in the harsh cross country environment. In particular, the military tracked vehicles are highly exposed to severe terrains and critical handling conditions. Yet while carrying out the dynamic studies, the tracked vehicles, in general, are modeled as rigid bodies. Hence in this article, an attempt has been made to understand closely the dynamics of a tracked vehicle with the inclusion of some parts of the tracked vehicle viz., hull side plates and road wheel arms, as flexible bodies in the dynamic analysis using the finite element method. Result of the flexible dynamic simulation is also compared with the tracked vehicle analysis with the same parts modeled as rigid bodies. In this investigation, dimensions of the standard staggered trapezoidal blocks terrain meant for testing the tracked vehicles is used to carry out the dynamic studies on the tracked vehicle. The dynamic simulation result of the flexible tracked vehicle model is also compared with the experimental test result of the actual tracked vehicle conducted in the actual trapezoidal blocks terrain.

Evaluating the Performance of Constraint Formulations for Multibody Dynamics Simulation

2013 ◽  
Author(s):  
Daniel Montrallo Flickinger ◽  
Jedediyah Williams ◽  
Jeffrey C. Trinkle
Keyword(s):  
Dynamic Simulation ◽  
Collision Detection ◽  
Parameter Tuning ◽  
Rigid Bodies ◽  
Dynamics Simulation ◽  
Software Systems ◽  
Unilateral Constraints ◽  
Detection Scheme ◽  
Practical Applications ◽  
Exact Geometry

Contemporary software systems used in the dynamic simulation of rigid bodies suffer from problems in accuracy, performance, and robustness. Significant allowances for parameter tuning, coupled with the careful implementation of a broad phase collision detection scheme is required to make dynamic simulation useful for practical applications. A geometrically accurate constraint formulation, the Polyhedral Exact Geometry method, is presented. The Polyhedral Exact Geometry formulation is similar to the well-known Stewart-Trinkle formulation, but extended to produce unilateral constraints that are geometrically correct in cases where polyhedral bodies have a locally non-convex free space. The PEG method is less dependent on broad-phase collision detection or system tuning than similar methods, demonstrated by several examples. Uncomplicated benchmark examples are presented to analyze and compare the new Polyhedral Exact Geometry formulation with the well-known Stewart-Trinkle and Anitescu-Potra methods. The behavior and performance for the methods are discussed. This includes specific cases where contemporary methods fail to match theorized and observed system states in simulation, and how they are ameliorated by PEG.

Performance of a Method for Formulating Geometrically Exact Complementarity Constraints in Multibody Dynamic Simulation

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Daniel Montrallo Flickinger ◽  
Jedediyah Williams ◽  
Jeffrey C. Trinkle
Keyword(s):  
Dynamic Simulation ◽  
Collision Detection ◽  
High Performance ◽  
Parameter Tuning ◽  
Problem Formulation ◽  
Rigid Bodies ◽  
Detection Scheme ◽  
Practical Applications ◽  
System States ◽  
And Performance

Contemporary problem formulation methods used in the dynamic simulation of rigid bodies suffer from problems in accuracy, performance, and robustness. Significant allowances for parameter tuning, coupled with careful implementation of a broad-phase collision detection scheme are required to make dynamic simulation useful for practical applications. A constraint formulation method is presented herein that is more robust, and not dependent on broad-phase collision detection or system tuning for its behavior. Several uncomplicated benchmark examples are presented to give an analysis and make a comparison of the new polyhedral exact geometry (PEG) method with the well-known Stewart–Trinkle method. The behavior and performance for the two methods are discussed. This includes specific cases where contemporary methods fail to match theorized and observed system states in simulation, and how they are ameliorated by the new method presented here. The goal of this work is to complete the groundwork for further research into high performance simulation.

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