Static Dynamic Simulation
Static Dynamic Simulation - Related Videos
12:39
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
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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.
01:24
Static, Stagnation, Dynamic and Total Pressure
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2026
The concept of static, stagnation, dynamic, and total pressure is fundamental in fluid dynamics, often explained using Bernoulli's equation: Here, p is static pressure,1/2⍴V2 is dynamic pressure, γz is hydrostatic pressure or potential energy pressure, and pT is total pressure, constant along a streamline for incompressible flows. 1. Static Pressure (p): This is the pressure exerted by a fluid at rest or as if flowing fluid is brought to rest in the direction of motion. It is measured using a...
08:12
Pressure Transducer: Calibration Using a Pitot-static Tube
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2023
Source: Shreyas Narsipur, Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC Fluid pressure is an important flow characteristic that is required to determine the aerodynamics of a system. One of the oldest and still existing pressure measurement systems is the manometer due to its accuracy and simplicity of operation. The manometer is generally a U-shaped glass tube that is partially filled with liquid, as shown in Figure 1. The U-tube manometer requires no...
06:34
Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
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Cited by 3 •
2023
This protocol describes the study of the quasi-static compression performance of corrugated tapered tubes using finite element simulations. The influence of the thickness gradient on the compression performance was investigated. The results show that proper thickness gradient design can change the deformation mode and significantly improve the energy absorption performance of the tubes.
06:20
Transforming Static Barrier Tissue Models into Dynamic Microphysiological Systems
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Cited by 3 •
2024
This protocol describes a reconfigurable membrane-based cell culture platform that integrates the open-well format with fluid flow capabilities. This platform is compatible with standard protocols and allows for reversible transitions between open-well and microfluidic culture modes, accommodating the needs of both engineering and bioscience laboratories.
FAQs
Mass, damping, and stiffness are the principal dynamic terms that shape a system’s calculated response as conditions change over time. Including them allows the model to represent effects that an equilibrium-only calculation omits. Their combined influence can alter predicted deformation, stress, vibration, stability, and performance, so selecting the relevant terms is central to meaningful engineering results.
A static model may be insufficient when changing conditions or transient loads can significantly affect system behavior. In those cases, solving only equilibrium relationships may not capture time-dependent deformation, stress, vibration, stability, or performance. Engineers therefore compare the expected loading conditions with the response features of interest before deciding whether a dynamic analysis is required.
Transient loads matter because their effects evolve during the period being analyzed rather than remaining represented by a steady value. Advancing the governing equations through time shows how the system responds under those changing inputs. This can reveal behavior relevant to deformation, stress, vibration, stability, or performance that a steady-load treatment may not adequately describe.
An engineering workflow begins by identifying the system, its loading conditions, and the response of interest. The analyst then determines whether equilibrium relationships are sufficient or whether the governing equations should be advanced through time. For a dynamic model, relevant mass, damping, stiffness, and transient-load terms are included, after which the resulting responses are evaluated and compared.
Engineers can compare the predicted deformation, stress, vibration, stability, and performance under the same general system conditions. The comparison shows whether time-dependent effects materially change the result relative to an equilibrium-based calculation. If the responses differ in an important way, the dynamic formulation provides stronger support for design or safety decisions than the simplified static model.
The comparison applies to structures, machines, and other physical systems whose behavior must be assessed under steady or changing conditions. Results can support design optimization, safety evaluation, failure prediction, and decisions about model complexity. In practice, the approach helps engineers judge whether a static treatment is adequate or whether time-dependent analysis better represents the system’s expected operation.