Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

1.0K
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from...
1.0K
Separable Differential Equations01:20

Separable Differential Equations

93
A separable differential equation is a type of first-order differential equation where the derivative dy/dx can be expressed as a product of two functions: one that depends only on x and another that depends only on y. This allows for the rearrangement of the equation so that all terms involving y are on one side, and all terms involving x are on the other. This process, known as the separation of variables, simplifies the process of solving the equation by enabling the integration of both...
93
Introduction to Differential Equations01:20

Introduction to Differential Equations

134
A differential equation is a mathematical expression that establishes a relationship between a function and its derivatives. These equations are fundamental in modeling dynamic systems across various fields of science and engineering. The order of a differential equation is defined by the highest order derivative present in the equation. A first-order differential equation includes only the first derivative, while a second-order differential equation includes up to the second derivative of the...
134
Modeling with Differential Equations01:25

Modeling with Differential Equations

84
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
84
Linear Differential Equations01:27

Linear Differential Equations

83
The integrating factor method provides a systematic way to solve first-order linear differential equations, especially those that cannot be handled by separation of variables. This method is particularly useful in modeling time-dependent physical systems influenced by both constant inputs and resistive forces. A common example is the motion of a car subjected to a constant engine force while experiencing air resistance proportional to its velocity.In such scenarios, Newton’s second law...
83
Differential Equations: Problem Solving01:21

Differential Equations: Problem Solving

77
When analyzing the motion of falling objects, it is essential to consider not only the force of gravity but also the opposing force of air resistance. A practical example involves releasing a heavy test weight during a safety check on a ship. As the weight falls from rest, gravity accelerates it downward while air resistance exerts an upward force that increases with velocity. This dynamic interplay of forces is well described by differential equations, which provide a mathematical framework...
77

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same journal

Computational modeling of immersed non-spherical bodies in viscous flows to study embolus-hemodynamics interactions in large-vessel occlusion stroke.

Engineering with computers·2026
Same journal

IGANets: Isogeometric analysis networks and their applications to linear structural analysis problems.

Engineering with computers·2026
Same journal

Parameterized shape optimization of a bi-leaflet heart valved conduit for pediatric applications.

Engineering with computers·2026
Same journal

A computational framework to predict the spreading of Alzheimer's disease.

Engineering with computers·2026
Same journal

Implicit sub-stepping scheme for critical state soil models.

Engineering with computers·2026
Same journal

Isogeometric suitable coupling methods for partitioned multiphysics simulation with application to fluid-structure interaction.

Engineering with computers·2026
Ver todos los artículos relacionados
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Video Experimental Relacionado

Updated: Feb 5, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.8K

Una estrategia de actualización impulsada por ecuaciones diferenciales para la optimización de la topología basada en

Yang Liu1, Wei Tan1

  • 1School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS UK.

Engineering with computers
|February 4, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un novedoso método impulsado por ecuaciones diferenciales para la optimización de la topología. Mejora los enfoques basados en densidad, ofreciendo un proceso de diseño más receptivo para un mejor rendimiento en aplicaciones de ingeniería.

Palabras clave:
Método de densidadEcuación diferencialCódigo MATLABOptimización de la topologíaEsquema de actualización

Más Videos Relacionados

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K
Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification
10:39

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Published on: November 28, 2016

11.8K

Videos de Experimentos Relacionados

Last Updated: Feb 5, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.8K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K
Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification
10:39

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Published on: November 28, 2016

11.8K

Área de la Ciencia:

  • Ingeniería
  • Mecánica Computacional
  • Ciencia de Materiales

Sus antecedentes:

  • La optimización de la topología utiliza comúnmente métodos impulsados por límites como el método del conjunto de niveles.
  • Las ecuaciones diferenciales también se pueden aplicar a la optimización de la topología basada en densidad.

Objetivo del estudio:

  • Presentar un nuevo esquema de actualización de diseño utilizando ecuaciones diferenciales para la optimización de la topología.
  • Explorar los beneficios del formato de incremento absoluto sobre el formato de incremento relativo tradicional.

Principales métodos:

  • Formulación de un esquema de actualización de diseño utilizando ecuaciones diferenciales para hacer evolucionar las densidades elementales.
  • Transformación de la ecuación diferencial a un formato de incremento absoluto, análogo al método de criterios de optimalidad (OC).
  • Implementación y explicación del código MATLAB para la minimización del cumplimiento en casos de materiales compuestos y de un solo material.

Principales resultados:

  • El formato de incremento absoluto proporciona un proceso de optimización más activo y receptivo.
  • El esquema propuesto aborda eficazmente los problemas de optimización de la distribución de la densidad.
  • Los ejemplos numéricos validan el rendimiento del esquema en la minimización del cumplimiento.

Conclusiones:

  • Las estrategias de evolución impulsadas por ecuaciones diferenciales se pueden utilizar de manera efectiva en la optimización de la topología basada en densidad.
  • El formato de incremento absoluto ofrece una alternativa prometedora a los métodos de densidad clásicos, lo que podría conducir a diseños superiores.
  • El método presentado proporciona una alternativa viable para las tareas de optimización de la topología.