Multibody Dynamic Simulation
Multibody Dynamic Simulation - Related Videos
12:39
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
0 Views •
2023
Source: Joseph C. Muskat, Vitaliy L. Rayz, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana The objective of this video is to describe recent advancements of computational fluid dynamic (CFD) simulations based on patient- or animal-specific vasculature. Here, subject-based vessel segmentations were created, and, using a combination of open-source and commercial tools, a high-resolution numerical solution was determined within a flow model.
06:37
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Cited by 2 •
2021
Melts and fluids are ubiquitous vectors of mass transport in natural systems. We have developed an open-source package to analyze ab initio molecular-dynamics simulations of such systems. We compute structural (bonding, clusterization, chemical speciation), transport (diffusion, viscosity) and thermodynamic properties (vibrational spectrum).
05:57
Synthesizing Amino Acids Modified with Reactive Carbonyls in Silico to Assess Structural Effects Using Molecular Dynamics Simulations
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2024
Here, we describe a protocol for the optimization and parameterization of amino acid residues modified with reactive carbonyl species, adaptable to protein systems. The protocol steps include structure design and optimization, charge assignments, parameter construction, and preparation of protein systems.
05:00
New Features in Visual Dynamics 3.0
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2024
Visual Dynamics is an open-source tool that accelerates implementations and learning in molecular dynamics simulation using Gromacs. The presented protocol will guide you through the steps to perform a protein-ligand simulation prepared in ACPYPE with ease and general steps to other simulation models.
11:29
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
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Cited by 14 •
2014
A new computational system featuring GPU-accelerated molecular dynamics simulation and 3D/VR visualization, analysis and manipulation of nanostructures has been implemented, representing a novel approach to advance materials research and promote innovative investigation and alternative methods to learn about material structures with dimensions invisible to the human eye.
FAQs
Joints and constraints determine how connected bodies may move relative to one another. They restrict selected motions while allowing others, creating the mechanical relationships that govern the system. The equations of motion then use these relationships to calculate resulting positions, velocities, accelerations, and reaction forces, helping researchers identify how connections transmit mechanical effects.
The choice determines how each component is represented within the mechanical system. Rigid bodies provide a simplified representation, while flexible bodies allow the model to account for components that are not treated as perfectly rigid. Selecting between them helps align the simulation with the behavior being studied, such as movement, loading, or device performance.
External loads provide the forces acting on the modeled system in addition to the interactions created by joints and constraints. Changing these loads changes the calculated motion and reaction forces over time. Researchers can therefore examine how a mechanical system responds under different loading conditions and identify performance limitations before physical testing.
The method allows researchers to test designs and loading conditions virtually before conducting equivalent physical experiments. Simulated positions, accelerations, and reaction forces can reveal how a system may perform and expose potential limitations. This approach can reduce experimental effort while supporting early evaluation of biomedical technologies and mechanical designs.
A typical setup begins by representing the system’s bodies, then specifying the joints, constraints, and external loads that connect and act on them. The equations of motion are solved over time, producing calculated positions, velocities, accelerations, and reaction forces. These outputs provide the basis for assessing the modeled system under selected conditions.
In bioengineering, applications include studying human movement and modeling musculoskeletal systems. The same approach supports evaluation of prostheses, orthoses, implants, and rehabilitation devices by examining their mechanical behavior under selected conditions. These simulations help compare designs, identify performance limitations, and support development of safer and more effective biomedical technologies.