Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

14.2K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
14.2K
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

13.0K
An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
13.0K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.3K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.3K
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

201
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
201

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Damage Detection and Identification on Elevator Systems Using Deep Learning Algorithms and Multibody Dynamics Models.

Sensors (Basel, Switzerland)·2025
Same author

Optimal Sensor Placement for Vibration-Based Damage Localization Using the Transmittance Function.

Sensors (Basel, Switzerland)·2024
Same author

Vibration-Based Damage Detection Using Finite Element Modeling and the Metaheuristic Particle Swarm Optimization Algorithm.

Sensors (Basel, Switzerland)·2022
See all related articles

Related Experiment Video

Updated: Aug 13, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.2K

Model-Based Damage Localization Using the Particle Swarm Optimization Algorithm and Dynamic Time Wrapping for Pattern

Ilias Zacharakis1, Dimitrios Giagopoulos2

  • 1Department of Mechanical Engineering, University of Western Macedonia, 50100 Kozani, Greece.

Sensors (Basel, Switzerland)
|January 21, 2023
PubMed
Summary

This study introduces a novel method for detecting structural damage using Finite Element Models and Particle Swarm Optimization. The technique accurately locates damage by simulating its effects on structural dynamics, minimizing modeling errors.

Keywords:
damage detectiondamage localizationdynamic time wrappingmetaheuristic algorithmsvibration-based

More Related Videos

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K

Related Experiment Videos

Last Updated: Aug 13, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K

Area of Science:

  • Structural Health Monitoring (SHM)
  • Computational Mechanics
  • Materials Science

Background:

  • Vibration-based damage detection is crucial for structural integrity.
  • Existing methods face challenges with modeling errors and accurate damage localization.
  • Finite Element Models (FEM) are widely used but require refinement for damage simulation.

Purpose of the Study:

  • To develop and validate a novel methodology for accurate damage detection and localization in structures.
  • To integrate metaheuristic optimization with FEM for simulating damage effects.
  • To minimize modeling errors in vibration-based Structural Health Monitoring.

Main Methods:

  • Utilized Finite Element Models (FEM) coupled with a metaheuristic optimization algorithm (Particle Swarm Optimization).
  • Simulated damage by adjusting location, stiffness, and mass within a parametric area in the FEM.
  • Employed Transmittance Functions (TF) and Dynamic Time Warping (DTW) to minimize modeling errors and compare FEM with experimental data.

Main Results:

  • The proposed framework successfully located damage in a truss structure composed of Carbon-Fiber Reinforced Polymer (CFRP) beams.
  • The combination of FEM, PSO, and DTW effectively minimized modeling errors, enhancing damage detection accuracy.
  • Four damage cases were examined, demonstrating the robustness of the methodology on composite materials.

Conclusions:

  • The integrated approach of FEM and metaheuristic optimization provides an effective framework for vibration-based damage detection.
  • Dynamic Time Warping significantly improves the accuracy of damage localization by mitigating modeling uncertainties.
  • The methodology shows promise for real-world applications in monitoring the health of composite structures.