Jove
Visualize
Contáctanos
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

Videos de Conceptos Relacionados

Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

250
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
250
Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

2.0K
In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
2.0K
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

183
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
183
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

390
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
390
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

163
The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
163
Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

390
An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the...
390

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Molecular transmission network reveals CRF08_BC-driven clusters of HIV-1 among low-education older adults linked to female sex workers in Taizhou, China.

Frontiers in microbiology·2026
Same author

Pressure-Related Challenges and Strategic Approaches in Lithium Metal Sulfide all-Solid-State Batteries.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

Paravertebral muscle degeneration-guided selective fusion strategy for degenerative lumbar scoliosis: a novel approach to minimize surgical invasiveness while optimizing clinical outcomes.

Frontiers in medicine·2026
Same author

Molecularly Dispersed Bismuth Anodes in Fluorinated Triazine Frameworks for High-Capacity and Long-Life Potassium-Ion Batteries.

ACS applied materials & interfaces·2026
Same author

Correction: A transmission relationship investigation of HIV infection through male-to-male sex among a case of left-behind children with heterosexual orientation in Zhejiang Province of China.

Frontiers in public health·2026
Same author

Molecular genetic characterization of a novel HIV-1 circulating recombinant form (CRF205_0107) among men who have sex with men in Hangzhou, China.

Frontiers in microbiology·2026

Video Experimental Relacionado

Updated: Sep 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K

LSWOA: Un algoritmo de optimización de ballenas mejorado con vuelo Levy y vuelo en espiral para problemas de

Junhao Wei1, Yanzhao Gu1, Zhanxi Xie2

  • 1Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.

PloS one
|September 3, 2025
PubMed
Resumen

El algoritmo mejorado de optimización de ballenas (LSWOA) mejora el original al abordar la convergencia prematura y mejorar la exploración. Este nuevo enfoque demuestra un rendimiento superior en tareas de benchmark y optimización de ingeniería.

Más Videos Relacionados

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.9K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K

Videos de Experimentos Relacionados

Last Updated: Sep 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.9K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K

Área de la Ciencia:

  • Inteligencia computacional
  • Optimización metaheurística
  • Mejora de algoritmos

Sus antecedentes:

  • El algoritmo de optimización de ballenas (WOA) enfrenta limitaciones que incluyen convergencia prematura, diversidad de población reducida, tasas de convergencia lentas y poca precisión.
  • Un desequilibrio significativo entre las fases de exploración y explotación obstaculiza la eficacia de WOA en problemas complejos de optimización.

Objetivo del estudio:

  • Introducir un nuevo algoritmo mejorado de optimización de ballenas (LSWOA) diseñado para superar las limitaciones inherentes de la WOA canónica.
  • Mejorar el rendimiento general de optimización, la velocidad de convergencia y la precisión del WOA.

Principales métodos:

  • Implementó una inicialización de Good Nodes Set para una línea de base de búsqueda de mayor calidad.
  • Introdujo una estrategia de búsqueda guiada basada en la distancia para mejorar las capacidades de escape óptimas locales.
  • Desarrolló una estrategia de actualización en espiral mejorada con ajuste dinámico de parámetros para equilibrar la exploración y la explotación.

Principales resultados:

  • LSWOA demostró un rendimiento de optimización superior en varias funciones de referencia dimensionales en comparación con otros algoritmos metaheurísticos y variantes de WOA.
  • El algoritmo logró excelentes resultados en siete problemas de optimización de diseño de ingeniería, mostrando su efectividad en aplicaciones del mundo real.
  • LSWOA exhibió una velocidad y precisión de convergencia mejoradas, abordando efectivamente desafíos de optimización complejos y de alta dimensión.

Conclusiones:

  • El LSWOA propuesto mitiga efectivamente las debilidades del WOA estándar, ofreciendo una herramienta de optimización más robusta y eficiente.
  • LSWOA muestra un potencial significativo para diversas aplicaciones en desafíos de ingeniería del mundo real debido a su gran rendimiento y adaptabilidad.