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Implementation of Numerical Mesostructure Concrete Material Models: A Dot Matrix Method.

Hao Xie1, Jili Feng1

  • 1State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology Beijing, Beijing 100083, China.

Materials (Basel, Switzerland)
|November 27, 2019
PubMed
Summary
This summary is machine-generated.

A novel dot matrix method (DMM) efficiently places arbitrary-shaped aggregates in concrete models. This computational geometry approach speeds up mesostructure construction and is compatible with 3D laser scanning.

Keywords:
aggregatesconcretemesostructureparking algorithmthree-dimensional laser scanner

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Area of Science:

  • Civil Engineering
  • Computational Geometry
  • Materials Science

Background:

  • Efficiently constructing mesoscale concrete models is crucial for understanding material behavior.
  • Conventional aggregate placement methods can be time-consuming and limited in handling complex particle shapes.

Purpose of the Study:

  • To develop a rapid and efficient method for aggregate placement in concrete mesostructure models.
  • To introduce a computational geometry-based approach for automated aggregate arrangement.

Main Methods:

  • Developed a dot matrix method (DMM) utilizing computational geometry principles.
  • Transformed overlap detection into point set intersection checks for efficient placement.
  • Employed an algorithm for aggregate placement based on reduction order and grading curves.

Main Results:

  • The DMM efficiently places arbitrary-shaped aggregates, independent of particle size.
  • Overlap detection is optimized by comparing point sets, enhancing algorithmic efficiency.
  • The method accurately places aggregates according to specified grading curves, reducing placement time.

Conclusions:

  • The dot matrix method is a robust and valid technique for constructing mesostructure concrete models.
  • DMM offers advantages in speed, flexibility, and handling of complex aggregate geometries.
  • Integration with 3D laser scanning facilitates convenient and flexible mesostructure model creation.