A Meso-Scale Modeling Framework Using the Discrete Element Method (DEM) for Uniaxial and Flexural Response of Ultra-High Performance Concrete (UHPC)

This study addresses a key limitation in meso-scale discrete element modeling (DEM) of ultra-high performance concrete (UHPC). Most existing DEM frameworks rely on extensive macroscopic calibration and do not provide a clear, transferable pathway to derive contact law parameters from measurable micro-scale properties, limiting reproducibility and physical interpretability. To bridge this gap, we develop and validate a micro-indentation-informed, poromechanics-consistent calibration framework that links UHPC phase-level micromechanical measurements to a flat-joint DEM contact model for predicting uniaxial compression, direct tension, and flexural response. Elastic moduli and Poisson’s ratios of the constituent phases are obtained from micro-indentation and homogenization relations, while cohesion (c) and friction angle (α) are inferred through a statistical treatment of the indentation modulus and hardness distributions. The tensile strength limit (σₜ) is identified by matching the simulated flexural stress–strain peak and post-peak trends using a parametric set of (c, α, σₜ) combinations. The resulting DEM model reproduces the measured UHPC responses with strong agreement, capturing (i) compressive stress–strain response, (ii) flexural stress–strain response, and (iii) tensile stress–strain response, while also recovering the experimentally observed failure modes and damage localization patterns. These results demonstrate that physically grounded micro-scale measurements can be systematically upscaled to meso-scale DEM parameters, providing a more efficient and interpretable route for simulating UHPC and other porous cementitious composites from indentation-based inputs.

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Publication Details

Journal
Applied Sciences
Published
2026-01-25
DOI
https://doi.org/10.3390/app16031230
Primary Topic
Innovative concrete reinforcement materials
Type
article
Field-Weighted Citation Impact
0.00

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article

A Meso-Scale Modeling Framework Using the Discrete Element Method (DEM) for Uniaxial and Flexural Response of Ultra-High Performance Concrete (UHPC)

Aashay Arora, Narayanan Neithalath, Pu Yang, Christian G. Hoover
Applied Sciences
Innovative concrete reinforcement materials
article

A Meso-Scale Modeling Framework Using the Discrete Element Method (DEM) for Uniaxial and Flexural Response of Ultra-High Performance Concrete (UHPC)

Aashay Arora, Narayanan Neithalath, Pu Yang, Christian G. Hoover
article en

Abstract

This study addresses a key limitation in meso-scale discrete element modeling (DEM) of ultra-high performance concrete (UHPC). Most existing DEM frameworks rely on extensive macroscopic calibration and do not provide a clear, transferable pathway to derive contact law parameters from measurable micro-scale properties, limiting reproducibility and physical interpretability. To bridge this gap, we develop and validate a micro-indentation-informed, poromechanics-consistent calibration framework that links UHPC phase-level micromechanical measurements to a flat-joint DEM contact model for predicting uniaxial compression, direct tension, and flexural response. Elastic moduli and Poisson’s ratios of the constituent phases are obtained from micro-indentation and homogenization relations, while cohesion (c) and friction angle (α) are inferred through a statistical treatment of the indentation modulus and hardness distributions. The tensile strength limit (σₜ) is identified by matching the simulated flexural stress–strain peak and post-peak trends using a parametric set of (c, α, σₜ) combinations. The resulting DEM model reproduces the measured UHPC responses with strong agreement, capturing (i) compressive stress–strain response, (ii) flexural stress–strain response, and (iii) tensile stress–strain response, while also recovering the experimentally observed failure modes and damage localization patterns. These results demonstrate that physically grounded micro-scale measurements can be systematically upscaled to meso-scale DEM parameters, providing a more efficient and interpretable route for simulating UHPC and other porous cementitious composites from indentation-based inputs.

Applied SciencesVol. 16(3)
Arizona State University (US)
National Science Foundation, U.S. Department of Transportation, Arizona Department of Transportation, BASF Corporation, Office of International Science and Engineering, Division of Civil, Mechanical and Manufacturing Innovation
Openalex Percentile: Top 78%
Innovative concrete reinforcement materials
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