Dynamic particle packing to generate complex geometries.

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Title: Dynamic particle packing to generate complex geometries.
Authors: Sameer, Muhammad1 (AUTHOR), Fred Higgs III, C.1,2 (AUTHOR) higgs@rice.edu
Source: Computer Methods in Applied Mechanics & Engineering. May2025, Vol. 439, pN.PAG-N.PAG. 1p.
Subjects: Complex geometry, Discrete element method, Sphere packings, Geometric approach, Engineering models
Abstract: Analyzing the discrete nature of solid structures is crucial, particularly in situations where system behavior relies on material discontinuities, such as fracture and wear, along with their subsequent effects. It is not only essential to investigate when failure or discontinuity occurs within a material, but also how it unfolds and impacts its surroundings. While numerical methods serve as effective tools for analyzing structural behavior, continuum-based approaches may not provide a comprehensive view when dealing with discontinuities in a material. Discrete models provide the capability to simulate these discontinuities by bonding discrete elements (particles) together, thereby also simulating continuum behavior. However, the challenge lies in packing these particles within a complex-shaped structure. The dynamic packing approach excels in generating a tightly packed, randomly arranged bonded-particle structure with consistent mechanical behavior. However, it struggles when it comes to generating complex geometries. Conversely, the geometric approach is proficient at generating complex structures but lacks the reliability needed to simulate engineering materials. The method outlined in this paper represents the first attempt to dynamically pack particles within a complex geometry while maintaining all the necessary mechanical properties to accurately model isotropic engineering materials. Such precision in structure and methodology is vital for calibrating the bonds, ensuring that the bonded-particle structure behaves similarly to real materials. As an example, several bonded-particle structures are generated and tested to demonstrate the complexity of their shapes and their realistic mechanical behavior. [ABSTRACT FROM AUTHOR]
Copyright of Computer Methods in Applied Mechanics & Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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  Data: <searchLink fieldCode="DE" term="%22Complex+geometry%22">Complex geometry</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+element+method%22">Discrete element method</searchLink><br /><searchLink fieldCode="DE" term="%22Sphere+packings%22">Sphere packings</searchLink><br /><searchLink fieldCode="DE" term="%22Geometric+approach%22">Geometric approach</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+models%22">Engineering models</searchLink>
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  Data: Analyzing the discrete nature of solid structures is crucial, particularly in situations where system behavior relies on material discontinuities, such as fracture and wear, along with their subsequent effects. It is not only essential to investigate when failure or discontinuity occurs within a material, but also how it unfolds and impacts its surroundings. While numerical methods serve as effective tools for analyzing structural behavior, continuum-based approaches may not provide a comprehensive view when dealing with discontinuities in a material. Discrete models provide the capability to simulate these discontinuities by bonding discrete elements (particles) together, thereby also simulating continuum behavior. However, the challenge lies in packing these particles within a complex-shaped structure. The dynamic packing approach excels in generating a tightly packed, randomly arranged bonded-particle structure with consistent mechanical behavior. However, it struggles when it comes to generating complex geometries. Conversely, the geometric approach is proficient at generating complex structures but lacks the reliability needed to simulate engineering materials. The method outlined in this paper represents the first attempt to dynamically pack particles within a complex geometry while maintaining all the necessary mechanical properties to accurately model isotropic engineering materials. Such precision in structure and methodology is vital for calibrating the bonds, ensuring that the bonded-particle structure behaves similarly to real materials. As an example, several bonded-particle structures are generated and tested to demonstrate the complexity of their shapes and their realistic mechanical behavior. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computer Methods in Applied Mechanics & Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.cma.2025.117802
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      – Code: eng
        Text: English
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        PageCount: 1
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      – SubjectFull: Complex geometry
        Type: general
      – SubjectFull: Discrete element method
        Type: general
      – SubjectFull: Sphere packings
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      – SubjectFull: Geometric approach
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            – D: 01
              M: 05
              Text: May2025
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              Y: 2025
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