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

What is Evolutionary History?02:35

What is Evolutionary History?

43.6K
Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
43.6K
Surveys02:16

Surveys

17.0K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
17.0K
Introduction to Surveying, Plane Surveying and Geodetic Surveys01:27

Introduction to Surveying, Plane Surveying and Geodetic Surveys

1.1K
Surveying is the art and science of mapping the earth's surface. It involves measuring distances, angles in horizontal or vertical directions, and levels to understand the shape and size of land features. Surveying techniques are essential for various tasks, such as identifying the levels of a land area with reference to a specific point, and mapping undulations and water bodies.There are two main types of surveying: plane surveys and geodetic surveys. Plane surveys assume the earth is flat,...
1.1K
Elements and Compounds01:27

Elements and Compounds

105.1K
Pure substances consist of only one type of matter. A pure substance can be an element or a compound. An element consists of only one type of atom, while a compound consists of two or more types of atoms held together by a chemical bond.
Elements
Elements are classified as atomic or molecular based on the nature of their basic units. They are unique forms of matter with specific chemical and physical properties that cannot break down into smaller substances by ordinary chemical reactions. There...
105.1K
Evolutionary Psychology01:20

Evolutionary Psychology

1.0K
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
1.0K
Classification of Elements and Compounds02:54

Classification of Elements and Compounds

73.3K
Pure substances consist of only one type of matter. A pure substance can be an element or a compound. An element consists of only one type of atom, while a compound consists of two or more types of atoms held together by a chemical bond. Elements are classified as atomic or molecular based on the nature of their basic units.
Compounds are pure substances composed of two or more elements in fixed, definite proportions. Compounds are classified as ionic or molecular (covalent) based on the bonds...
73.3K

You might also read

Related Articles

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

Sort by
Same author

Output-Only Modal Identification of Civil Engineering Structures Based on Parametric Complexity Pursuit.

Sensors (Basel, Switzerland)·2026
Same author

Multi-Class Concrete Defect Classification Using Guided Semantic-Spatial Fusion and Squeeze-Excitation Enhanced DenseNet Model.

Materials (Basel, Switzerland)·2025
Same author

Damage Identification in Composite Wind Turbine Blades Using Relative Natural Frequency Changes and Bayesian Probability.

Materials (Basel, Switzerland)·2025
Same author

Path-Routing Convolution and Scalable Lightweight Networks for Robust Underwater Acoustic Target Recognition.

Sensors (Basel, Switzerland)·2025
Same author

A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario.

Sensors (Basel, Switzerland)·2025
Same author

Correction: A novel ensemble learning approach for grouping the state-of-the-art YOLOV10 and YOLOV11 models for kidney stone detection in CT and Ultrasound images.

Journal of imaging informatics in medicine·2025
Same journal

Supporting human-agent communication for explainable planning in spatial-temporal planning problems.

Neural computing & applications·2026
Same journal

Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition.

Neural computing & applications·2026
Same journal

Sequential pattern transformer (SPT): a generative and interpretable framework for predicting disease trajectories.

Neural computing & applications·2026
Same journal

Balancing misclassification errors in image-based inference using problem domain semantics and a nested cascade architecture.

Neural computing & applications·2025
Same journal

Deep multi-objective reinforcement learning for utility-based infrastructural maintenance optimization.

Neural computing & applications·2025
Same journal

A fairness scale for real-time recidivism forecasts using a national database of convicted offenders.

Neural computing & applications·2025
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

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

13.5K

Structural damage detection using finite element model updating with evolutionary algorithms: a survey.

Nizar Faisal Alkayem1, Maosen Cao1, Yufeng Zhang2,3

  • 11Department of Engineering Mechanics, Hohai University, Nanjing, 210098 Jiangsu People's Republic of China.

Neural Computing & Applications
|June 29, 2018
PubMed
Summary
This summary is machine-generated.

This review surveys evolutionary algorithms for structural damage identification using finite element (FE) model updating. It highlights methods, parameters, and case studies for advancing damage detection technologies.

Keywords:
Dynamic characteristicsEvolutionary algorithmsFinite element model updatingOptimizationResidualsStructural damage detection

More Related Videos

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

10.1K
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

1.1K

Related Experiment Videos

Last Updated: Feb 8, 2026

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

13.5K
Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

10.1K
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

1.1K

Area of Science:

  • Engineering
  • Computational Mechanics
  • Structural Health Monitoring

Background:

  • Structural damage identification is crucial in mechanical, civil, and aerospace engineering.
  • Finite element (FE) model updating is a key technique for this identification.
  • Evolutionary algorithms (EAs) offer a modern approach to FE model updating for damage detection.

Purpose of the Study:

  • To provide a comprehensive review of structural damage identification using FE model updating with EAs.
  • To consolidate critical aspects, including theoretical background, objective functions, parameter selection, and EA applications.
  • To guide future research in this active area.

Main Methods:

  • Review of existing literature on FE model updating and EAs for damage detection.
  • Illustration of theoretical background and damage detection problem.
  • Summary of residuals for objective function construction.
  • Investigation of parameter selection concerns.
  • Examination of EA applications in FE model updating.
  • Presentation of a case study comparing single- and multi-objective EAs.

Main Results:

  • The study synthesizes various approaches and challenges in EA-based FE model updating for damage detection.
  • A comparative case study demonstrates the application of different EAs.
  • Key considerations for parameter selection and objective function formulation are discussed.

Conclusions:

  • Evolutionary algorithms present a promising avenue for advancing structural damage identification through FE model updating.
  • Further research is recommended to explore novel theories, methods, and technologies in this domain.
  • This review serves as a valuable resource for researchers in the field.