Virtual Simulations
Virtual Simulations - Related Videos
09:23
Integrating Automated Simulation Workflows with 3D Visualization for Virtual Experiments in the Metaverse
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2026
A generalized, FAIR-compliant method is presented for domain-expert researchers seeking to integrate simulation and data-processing tools into automated workflows for 3D virtual experiments. A neutronics example demonstrates setting up a local Galaxy instance, wrapping OpenMC and file-conversion tools, launching workflows from Omniverse, and visualizing the converted 3D outputs.
06:54
A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
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2023
This work presents a three-dimensional virtual simulation experiment for material deformation and failure that provides visualized experimental processes. Through a set of experiments, users can become familiar with the equipment and learn the operations in an immersive and interactive learning environment.
03:49
Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
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Cited by 9 •
2023
A new virtual reality flight simulator was built, which enables efficient and low-cost evaluation of flight performance and eye movement patterns. It also provides a high-potential research tool for ergonomics and other research.
06:38
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
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Cited by 1 •
2020
This protocol describes use of a walking simulator that serves as a safe and ecologically valid method to study pedestrian behavior in the presence of moving traffic.
08:37
Developing a Virtual Reality Video Game to Simulate Rip Currents
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Cited by 4 •
2020
Rip currents are among the deadliest meteorological hazards in the United States. In order to demonstrate the proper actions to take when caught in a rip current in a memorable and engaging way, a virtual reality video game is developed.
FAQs
A simulation’s mathematical model encodes physical laws, material properties, and geometry, then combines them with initial and boundary conditions. A numerical solver uses that formulation to calculate how the represented system responds under the specified conditions. This chain matters because changing an input, such as a material property or boundary condition, can alter the predicted response and the resulting engineering conclusion.
Initial conditions establish the system’s starting state, while boundary conditions describe constraints or influences imposed at its limits. Together, they define the situation that the mathematical model evaluates. The same geometry and material properties can therefore produce different calculated responses when operating conditions change, making these inputs essential for studying performance across multiple engineering scenarios.
Numerical solvers calculate system responses from the mathematical relationships supplied by the model. They convert the selected physical laws, properties, geometry, and conditions into results that engineers can examine. Their role connects the conceptual model to a usable prediction, allowing engineers to compare designs, investigate operating conditions, and assess how modeled systems may behave.
The workflow begins by representing the proposed or existing system through its geometry, physical laws, and material properties. Engineers then specify initial and boundary conditions, apply a numerical solver, and examine the calculated response. Interactive visualization can help reveal changes over time. The resulting information supports design evaluation, parameter optimization, and investigation of possible failure modes.
They are especially valuable when physical experiments would be costly, unsafe, or slow to repeat. Engineers can examine proposed designs and operating conditions before committing to a physical prototype or laboratory test, then use the results to guide faster iteration. Virtual analysis does not replace physical testing; it complements prototypes and experiments by narrowing decisions and improving development efficiency.
Across mechanical, civil, electrical, and aerospace engineering, simulations help evaluate performance, identify failure modes, optimize design parameters, and study operating conditions. Their outputs can support decisions about real or proposed systems before extensive physical development. Interactive interfaces also make changes over time easier to inspect, strengthening interpretation of calculated behavior during design and analysis.