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Related Concept Videos

Bending01:10

Bending

259
Pure bending is a fundamental concept in structural mechanics, essential for understanding how materials deform under symmetrical loads without direct forces. Pure bending occurs when prismatic members, such as beams, are subjected to equal and opposite moments that induce bending. The phenomenon is crucial as it allows for predicting stress distributions without the influence of axial or shear forces.
In pure bending, the bending stress in a beam is calculated based on the bending moment and...
259
Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

93
The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
93
Bending of Members Made of Several Materials01:08

Bending of Members Made of Several Materials

138
In analyzing a structural member composed of two different materials with identical cross-sectional areas, it is crucial to understand how their distinct elastic properties affect the member's response under load. The analysis involves assessing stress and strain distributions using the transformed section concept, which accounts for variations in material properties.
Hooke's Law determines stress in each material, stating that stress is proportional to strain but varies due to each...
138
Plastic Deformations01:14

Plastic Deformations

81
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...
81
Unsymmetric Bending01:18

Unsymmetric Bending

300
Unsymmetrical bending occurs when the bending moment applied to a structural member does not align with its principal axis. This misalignment leads to complex stress distributions and deflection patterns that differ from those in symmetrical bending, and are essential for designing structures to withstand different loading conditions. In unsymmetrical bending, the neutral axis—where stress is zero—does not necessarily align with the geometric axes of the cross-section. The...
300
Design of Prismatic Beams for Bending01:23

Design of Prismatic Beams for Bending

200
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...
200

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Determination of the Mechanical Properties of Flexible Connectors for Use in Insulated Concrete Wall Panels
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Using Artificial Neural Networks to Predict the Bending Behavior of Composite Sandwich Structures.

Mortda Mohammed Sahib1,2, György Kovács1

  • 1Faculty of Mechanical Engineering and Informatics, University of Miskolc, 3515 Miskolc, Hungary.

Polymers
|February 13, 2025
PubMed
Summary

Artificial neural networks (ANNs) accurately model composite sandwich structures, predicting deflection and stress efficiently. This low-computational-cost method aids in designing and optimizing structures for engineering applications.

Keywords:
artificial neural networkscomposite sandwich structuresexperimental measurementsfinite element modelthree-point bending

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Area of Science:

  • Mechanical Engineering
  • Materials Science
  • Computational Mechanics

Background:

  • Growing interest in Artificial Neural Networks (ANNs) for mechanical structure modeling.
  • Composite sandwich structures offer lightweight and high-performance characteristics.
  • Need for efficient modeling techniques to predict structural behavior.

Purpose of the Study:

  • To investigate the use of ANNs for modeling composite sandwich structures.
  • To predict structural deflection and face sheet stress with low computational cost.
  • To validate ANN predictions against Finite Element Models (FEM) and experimental tests.

Main Methods:

  • Utilized ANNs for predicting structural deflection and face sheet stress.
  • Generated data considering various design variables: face sheet materials, layer numbers, core types, core thicknesses, and load magnitudes.
  • Employed Monte Carlo sampling for structural analysis and conducted experimental tests on a woven carbon-fiber-reinforced polymer (WCFRP) sandwich structure with a Nomex honeycomb core.

Main Results:

  • ANN predictions closely matched FEM outcomes.
  • Experimental validation confirmed the accuracy of ANN predictions.
  • The developed ANN model demonstrated a low-computational-cost approach.

Conclusions:

  • ANNs provide an effective and efficient method for modeling composite sandwich structures.
  • This technique offers a valuable tool for the design and optimization of sandwich structures.
  • The study highlights the potential of ANNs in various engineering applications requiring structural analysis.