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

Microcracking in Concrete01:20

Microcracking in Concrete

167
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
167
Design Consideration01:22

Design Consideration

237
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
237
Internal Loadings in Structural Members: Problem Solving01:28

Internal Loadings in Structural Members: Problem Solving

1.3K
When designing or analyzing a structural member, it is important to consider the internal loadings developed within the member. These internal loadings include normal force, shear force, and bending moment. Engineers can ensure that the structural member can support the applied external forces by calculating these internal loadings.
To illustrate this, let's consider a beam OC of 5 kN, inclined at an angle of 53.13° with the horizontal and supported at both ends. Determine the internal...
1.3K
Fatigue01:21

Fatigue

217
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
217
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

436
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by...
436

You might also read

Related Articles

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

Sort by
Same author

Identifying risk patterns for sudden cardiac death in athletes: A clustering and principal component analysis approach.

PloS one·2026
Same author

Athletes' and spectators' expenditures during a medium-sized sport event: the case study of the Italian National University Sport Championship.

Frontiers in sports and active living·2025
Same author

An Inverse FEM for Structural Health Monitoring of a Containership: Sensor Network Optimization for Accurate Displacement, Strain, and Internal Force Reconstruction.

Sensors (Basel, Switzerland)·2025
Same author

Mitigating the Impact of Temperature Variations on Ultrasonic Guided Wave-Based Structural Health Monitoring through Variational Autoencoders.

Sensors (Basel, Switzerland)·2024
Same author

Physics-Informed Neural Networks for the Condition Monitoring of Rotating Shafts.

Sensors (Basel, Switzerland)·2024
Same author

Numerical Study on the Damage of a Carbon Woven Composite Panel Subjected to Blast Loading.

Polymers·2023

Related Experiment Video

Updated: Aug 2, 2025

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

Towards Automatic Crack Size Estimation with iFEM for Structural Health Monitoring.

Daniele Oboe1, Dario Poloni1, Claudio Sbarufatti1

  • 1Politecnico di Milano, Mechanical Engineering Department, Via La Masa 1, 20156 Milano, Italy.

Sensors (Basel, Switzerland)
|April 13, 2023
PubMed
Summary

This study introduces a novel inverse finite element method (iFEM) approach for accurate structural damage size estimation. By systematically introducing damage into models, it precisely quanties structural integrity, advancing structural health monitoring.

Keywords:
crackdigital image correlationdigital twininverse finite element method (iFEM)structural health monitoring

More Related Videos

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.3K
Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
07:37

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method

Published on: January 16, 2019

9.7K

Related Experiment Videos

Last Updated: Aug 2, 2025

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
Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.3K
Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
07:37

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method

Published on: January 16, 2019

9.7K

Area of Science:

  • Structural Engineering
  • Materials Science
  • Computational Mechanics

Background:

  • The inverse finite element method (iFEM) reconstructs structural strain fields from measurements.
  • Existing iFEM applications focus on damage detection and localization, not size estimation.
  • Machine learning for damage sizing requires predefined damage conditions, limiting its applicability.

Purpose of the Study:

  • To develop a new iFEM-based approach for quantitative damage size estimation.
  • To systematically introduce damage into iFEM models to match physical structures.
  • To validate the proposed method for structural health monitoring applications.

Main Methods:

  • Systematic introduction of damage scenarios into the iFEM model.
  • Utilizing a maximum likelihood estimation framework to select the most accurate damage model.
  • Experimental validation on an aluminum plate with fatigue crack propagation.

Main Results:

  • Successful creation of a digital twin of the aluminum plate structure.
  • Accurate strain field reconstruction using optical backscatter reflectometry.
  • Validation of the damage size estimation methodology using independent laser and digital image correlation observations.

Conclusions:

  • The proposed iFEM approach enables precise damage size estimation, overcoming limitations of previous methods.
  • This technique provides a robust framework for creating digital twins and enhancing structural health monitoring.
  • The method's experimental verification demonstrates its practical applicability in real-world engineering scenarios.