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

Fatigue01:21

Fatigue

239
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...
239
Fatigue Strength of Concrete01:22

Fatigue Strength of Concrete

286
Fatigue, in the context of materials science and engineering, refers to the weakening or failure of a material caused by repeatedly applied loads, even if these loads are below the strength limit of the material. Fatigue strength in concrete is a critical property that influences its durability and longevity. Concrete can fail in two ways due to fatigue. Static fatigue or creep rupture occurs under a constant load or one that increases slowly. The other failure mode is due to cyclical or...
286
Yield Criteria for Ductile Materials under Plane Stress01:25

Yield Criteria for Ductile Materials under Plane Stress

216
In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
The Maximum Shearing Stress Criterion, also known as...
216
Design Consideration01:22

Design Consideration

323
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...
323
Plastic Deformations01:14

Plastic Deformations

131
It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
131
Principal Stresses in a Beam01:11

Principal Stresses in a Beam

422
In prismatic beams subject to arbitrary transverse loading, It is essential to analyze the interaction between shear forces and bending moments in order to understand stress distribution and ensure structural integrity. The highest normal or bending stress occurs at the outer fibers of the beam, decreasing linearly to zero at the neutral axis. In contrast, shear stress peaks at the neutral axis and diminishes toward the outer surfaces.
Analyzing principal stresses is crucial, especially in...
422

You might also read

Related Articles

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

Sort by
Same author

Advances in Fatigue Analysis and Numerical Simulation in Engineering Materials.

Materials (Basel, Switzerland)·2026
Same author

AI-Powered Very-High-Cycle Fatigue Control: Optimizing Microstructural Design for Selective Laser Melted Ti-6Al-4V.

Materials (Basel, Switzerland)·2025
Same author

Methodology for Hydrogen-Assisted Fatigue Testing Using In Situ Cathodic Charging.

Materials (Basel, Switzerland)·2025
Same author

Separation of Damage Mechanisms in Full Forward Rod Extruded Case-Hardening Steel 16MnCrS5 Using 3D Image Segmentation.

Materials (Basel, Switzerland)·2024
Same author

Characterization of Interfacial Corrosion Behavior of Hybrid Laminate EN AW-6082 ∪ CFRP.

Materials (Basel, Switzerland)·2024
Same author

Comparison of Various Intrinsic Defect Criteria to Plot Kitagawa-Takahashi Diagrams in Additively Manufactured AlSi10Mg.

Materials (Basel, Switzerland)·2023

Related Experiment Video

Updated: Sep 13, 2025

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

9.8K

Atomistic-Based Fatigue Property Normalization Through Maximum A Posteriori Optimization in Additive Manufacturing.

Mustafa Awd1,2, Lobna Saeed3, Frank Walther4

  • 1Institute for Informatics and Automation (IIA), Bremen City University of Applied Sciences (HSB), Flughafenallee 10, 28199 Bremen, Germany.

Materials (Basel, Switzerland)
|July 30, 2025
PubMed
Summary

This study introduces a new framework to predict fatigue strength in 3D printed metals like AlSi10Mg and Ti-6Al-4V. It accurately forecasts fatigue performance by considering material microstructure and defects, crucial for additive manufacturing. Keywords: fatigue strength, 3D printed metals, additive manufacturing, microstructure.

Keywords:
Bayesian optimizationadditive manufacturingatomistic modelingfatigue predictionmicrostructural heterogeneity

More Related Videos

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.1K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K

Related Experiment Videos

Last Updated: Sep 13, 2025

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

9.8K
Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.1K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Computational Materials Science

Background:

  • Additive manufacturing (AM) processes like laser powder bed fusion (L-PBF) introduce unique microstructural features and defects (porosity, residual stress).
  • Predicting fatigue strength in AM alloys is challenging due to complex process-structure-property relationships.
  • Existing models often struggle to capture the heterogeneity inherent in AM materials.

Purpose of the Study:

  • To develop a multiscale, microstructure-aware framework for predicting fatigue strength distributions in AM alloys.
  • To quantify the impact of AM-specific microstructural features on fatigue performance.
  • To provide a data-efficient and physically interpretable pathway for fatigue design in AM metals.

Main Methods:

  • Integration of density functional theory (DFT) for cohesive energy calculations.
  • Utilization of instrumented indentation for modulus measurements.
  • Application of Bayesian inference and a MAP-based statistical model for fatigue prediction.
  • Validation against experimental high-cycle and very-high-cycle fatigue (HCF/VHCF) data.

Main Results:

  • The framework accurately predicts fatigue strength distributions for L-PBF AlSi10Mg and Ti-6Al-4V, with validated results.
  • Predicted Woehler (S-N) curves and Paris crack-growth parameters encompass over 92% of experimental data.
  • Global sensitivity analysis identified porosity and residual stress as major contributors (>70%) to fatigue strength variance.

Conclusions:

  • The developed framework offers a robust and accurate method for predicting fatigue strength in additively manufactured metals.
  • It highlights the critical role of process-induced defects and microstructural heterogeneity in AM fatigue performance.
  • The methodology is extensible to other AM alloys and process variations, facilitating microstructure-informed design.