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

Deformation of a Beam under Transverse Loading01:15

Deformation of a Beam under Transverse Loading

429
Understanding beam deflection, particularly for indeterminate beams with overhanging segments and multiple concentrated loads, is crucial for ensuring structural integrity and functionality. The process begins with constructing an accurate free-body diagram, which helps identify the forces and moments acting on the beam. This diagram is vital for visualizing how bending moments vary along the beam's length, influencing its curvature.
The insights from the bending moment diagram extend to...
429
Deflection of a Beam01:19

Deflection of a Beam

374
Accurately determining beam deflection and slope under various loading conditions in structural engineering is crucial for ensuring safety and structural integrity. Singularity functions offer a streamlined approach to analyzing beams, especially when multiple loading functions complicate the bending moment equation.
Singularity functions, described in an earlier lesson, are powerful mathematical tools that represent discontinuities within a function commonly encountered in structural loading...
374
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

168
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
168
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

243
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
243
Shearing Stresses in a Beam: Problem Solving01:14

Shearing Stresses in a Beam: Problem Solving

302
A cantilever beam with a rectangular cross-section under distributed and point loads experiences shearing stresses. The analysis begins by identifying the loads acting on the beam. Then, the reactions at the beam's fixed end are calculated using equilibrium equations. The vertical reaction is a combination of the distributed and point loads, while the moment reaction is the sum of their moments. The shear force distribution along the beam, resulting from these loads, is established by...
302
Design of Prismatic Beams for Bending01:23

Design of Prismatic Beams for Bending

370
The design of prismatic beams, structural elements with a uniform cross-section, focuses on ensuring safety and structural integrity under load. The design process begins by determining the allowable stress, either from material properties tables, or by dividing the material's ultimate strength by a safety factor. This safety factor is essential for accommodating uncertainties, and varies depending on the material—timber, steel, or concrete—with each having unique strength and...
370

You might also read

Related Articles

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

Sort by
Same author

Vestibular functioning in people with Parkinson's disease.

International journal of audiology·2026
Same author

A Cross-Domain Benchmark of Intrinsic and Post Hoc Explainability for 3D Deep Learning Models.

Journal of imaging·2026
Same author

Methodology and experimental data of geometry-dependent temperature-time-profiles in laser-based powder bed fusion of polyamide 12.

Data in brief·2025
Same author

Mini-Batch Alignment: A Deep-Learning Model for Domain Factor-Independent Feature Extraction for Wi-Fi-CSI Data.

Sensors (Basel, Switzerland)·2023
Same author

Use of Domain Labels during Pre-Training for Domain-Independent WiFi-CSI Gesture Recognition.

Sensors (Basel, Switzerland)·2023
Same author

A Codeword-Independent Localization Technique for Reconfigurable Intelligent Surface Enhanced Environments Using Adversarial Learning.

Sensors (Basel, Switzerland)·2023
Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026
Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026
Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026
Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026
Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026
Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.9K

Deep learning based phase retrieval with complex beam shapes for beam shape correction.

Shengyuan Yan, Richard Off, Anil Bora Yayak

    Optics Express
    |August 13, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a deep learning method for correcting distorted laser beam shapes in additive manufacturing. The approach accurately identifies aberrations, improving beam shape correction and printed part quality.

    More Related Videos

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
    12:14

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

    Published on: August 12, 2013

    21.9K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K

    Related Experiment Videos

    Last Updated: Sep 11, 2025

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    9.9K
    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
    12:14

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

    Published on: August 12, 2013

    21.9K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K

    Area of Science:

    • Optics and Photonics
    • Additive Manufacturing
    • Artificial Intelligence

    Background:

    • Laser beam shaping is crucial for enhancing additive manufacturing speed and part quality.
    • Phase masks used for beam shaping can distort due to environmental factors like heat.
    • Accurate phase retrieval is essential for correcting these distortions.

    Purpose of the Study:

    • To develop a phase retrieval method for complex beam shapes in laser-based additive manufacturing.
    • To enable precise beam shape correction by identifying aberrations.
    • To benchmark deep learning models against state-of-the-art phase retrieval techniques.

    Main Methods:

    • Utilizing computer vision deep learning models to analyze distorted beam shapes.
    • Representing optical aberrations using Zernike coefficients.
    • Implementing a phase retrieval algorithm based on identified Zernike coefficients.

    Main Results:

    • The deep learning models successfully identified aberrations from distorted beam shapes.
    • The proposed method demonstrated superior performance in aberration detection compared to state-of-the-art techniques.
    • Effective beam shape correction was achieved using the deep learning-based approach on simulated data.

    Conclusions:

    • Deep learning offers a robust solution for phase retrieval and aberration correction in laser beam shaping.
    • This method can significantly improve the reliability and precision of additive manufacturing processes.
    • The findings pave the way for more advanced and adaptive laser-based manufacturing systems.