Physics-based Simulations
Physics-based Simulations - Related Videos
09:49
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
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Cited by 4 •
2015
This manuscript describes how to create regular bedforms in a flume, visualize flow through the bedforms, and use computer simulations to simulate the hyporheic flow. The computer simulations compare well with the experimental observations. This coupled simulation and experiment is well-suited for both research and educational purposes.
05:21
General Approach to the Physical Exam
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2023
Source: Jaideep S. Talwalkar, MD, Internal Medicine and Pediatrics, Yale School of Medicine, New Haven, CT The examination of the body is fundamental to the practice of medicine. Since the Roman Empire, physicians have described the connection between alterations in function of specific parts of the body and specific disease states and have sought to further scientific understanding to improve bedside diagnosis. However, in this modern age of increasing technology within medical diagnostics, it...
09:46
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Cited by 48 •
2012
An efficient way to gain insight into how humans navigate themselves in three dimensions is described. The method takes advantage of a motion simulator capable of moving observers in ways unattainable by traditional simulators. Results confirm that movement in the horizontal plane is underestimated, while vertical movement is overestimated.
02:57
Physical and Chemical Properties of Matter
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2020
The characteristics that enable us to distinguish one substance from another are called properties. Physical Properties of Matter A physical property is a characteristic of matter that is not associated with a change in its chemical composition. Familiar examples of physical properties include density, color, hardness, melting and boiling points, and electrical conductivity. We can observe some physical properties, such as density and color, without changing the physical state of the matter...
07:16
Physical Properties Of Minerals II: Polymineralic Analysis
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2023
Source: Laboratory of Alan Lester - University of Colorado Boulder The physical properties of minerals include various measurable and discernible attributes, including color, streak, magnetic properties, hardness, crystal growth form, and crystal cleavage. These properties are mineral-specific, and they are fundamentally related to a particular mineral’s chemical make-up and atomic structure. This video examines several physical properties that are useful in field and hand sample mineral...
FAQs
Numerical methods convert the governing physical equations into calculations that can be solved over space and time. Their role is to determine how the modeled system’s materials, geometry, forces, energy, and boundary conditions are represented and evaluated. In engineering, this enables analysis of changing conditions and supports predictions about performance before a physical prototype is built.
Boundary conditions specify how the modeled system interacts with its surroundings or with imposed constraints. Because the equations are solved under these conditions, changing them can alter predicted forces, energy behavior, temperatures, fluid responses, or electromagnetic effects. Careful specification therefore helps ensure that the simulated situation corresponds to the engineering design or operating condition being studied.
Each analysis emphasizes a different physical behavior: structural studies examine how designs respond to forces, fluid studies address fluid behavior, thermal studies examine energy and temperature effects, and electromagnetic studies address electromagnetic behavior. Multiphysics analysis considers more than one of these areas together, allowing engineers to investigate systems in which several physical effects influence performance.
The main influencing components are the material description, geometry, applied forces, energy conditions, and boundaries assigned to the model. These inputs establish what physical system is being examined and how it interacts with its environment. Altering them changes the equations’ evaluation and can affect predicted performance, identified failure risks, and comparisons among design alternatives.
An engineering workflow begins by representing the system’s materials and geometry, then assigning relevant forces, energy conditions, and boundaries. Numerical methods are applied to solve the governing equations across space and time. Engineers can then examine predicted performance, identify possible failure risks, and compare alternative designs before deciding which concepts warrant physical prototyping or testing.
Physical validation tests remain important when engineers need to assess how well a computational prediction represents the intended system. Simulations can reduce the number or cost of experiments and help prioritize designs, but they complement rather than eliminate testing. Using both approaches supports comparison between predicted and observed behavior while improving confidence in engineering decisions.