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Related Experiment Video

Updated: Jan 14, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
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Modelling cyclic compression of ballast aggregates using bounding surface model.

Meletetsega Gashaw1, Tadahiro Kishida2

  • 1Department of Civil and Environmental Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE.

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|October 21, 2025
PubMed
Summary

This study enhances the bounding surface model to accurately simulate railway ballast behavior under cyclic loading. The improved model captures drained cyclic compression, crucial for assessing long-term aggregate performance.

Keywords:
Constitutive modelRailway ballastTerminal densityTriaxial drained cyclic compression tests

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Area of Science:

  • Geotechnical Engineering
  • Materials Science

Background:

  • Bounding surface models are used for granular material simulation.
  • Accurate simulation of drained cyclic compression is challenging, especially near minimum void ratio for railway ballast.

Purpose of the Study:

  • To improve the bounding surface model for simulating drained cyclic compression behavior of ballast aggregates.
  • To evaluate the long-term performance of railway ballast aggregates.

Main Methods:

  • Laboratory triaxial testing on gabbro and EAF slag ballast.
  • Compilation of stress-strain data from literature.
  • Modeling using bounding surface framework with terminal state parameter and plastic modulus evolution.

Main Results:

  • The enhanced bounding surface model accurately reproduces stress-strain response under drained high-cycle loading.
  • Model calibration using experimental results.
  • Successful simulation of ballast behavior near minimum void ratio.

Conclusions:

  • The refined bounding surface model effectively captures the drained cyclic compression behavior of ballast aggregates.
  • The model is suitable for evaluating the long-term performance of railway ballast.
  • The study provides a validated approach for simulating granular material behavior under critical conditions.