Numerical Simulation of 3D Printed Ultra High-Performance Concrete Using the Lattice Discrete Particle Model (2025-04)¶
Ayhan Bahar, Irizarry Elmer, Lale Erol, Yu Ke, ,
Contribution - Proceedings of the 12th International Conference on Fracture Mechanics for Concrete and Concrete Structures
Abstract
The Lattice Discrete Particle Model (LDPM) is highly effective in capturing the fracture behavior of concrete, especially at the scale where significant material heterogeneities, such as coarse aggregates, dominate. This model constructs a meso-structure of concrete using a stochastic approach to generate spherical particles. This process is guided by several key parameters, including cement content, water-to-cement ratio, and the size range of aggregates, from the largest to the smallest. Delaunay tetrahedralization is employed to establish the lattice framework, targeting the centers of aggregates, which results in formation of polyhedral cells surrounding each aggregate particle through a 3D domain tessellation. LDPM is integrated into Project Chrono, an open-source multi-physics simulation engine and implemented as a user element code in Abaqus. In this study, mechanical characterization of the 3D printed concrete samples will be investigated. A 3D scanner is utilized to ensure accurate geometric representation of the printed sample geometries, which are then imported into the FreeCAD preprocessor for meso-structure generation. The simulations of various mechanical tests are conducted, such as unconfined compression and three-point bending tests, with the ability to apply loads at different orientations relative to the printing direction. The model’s accuracy is validated by comparing the simulation results with experimental data, ensuring that it can accurately capture the behavior of3D printed ultra-high-performance concrete under different loading conditions.
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5 References
- Baktheer Abedulgader, Claßen Martin (2024-07)
A Review of Recent Trends and Challenges in Numerical Modeling of the Anisotropic Behavior of Hardened 3D Printed Concrete - Chen Yu, Jansen Koen, Zhang Hongzhi, Rodríguez Claudia et al. (2020-07)
Effect of Printing-Parameters on Inter-Layer Bond Strength of 3D Printed Limestone-Calcined-Clay-Based Cementitious Materials:
An Experimental and Numerical Study - Mader Thomas, Schreter-Fleischhacker Magdalena, Shkundalova Olena, Neuner Matthias et al. (2023-09)
Constitutive Modeling of Orthotropic Non-Linear Mechanical Behavior of Hardened 3D Printed Concrete - Valle‐Pello P., Álvarez‐Rabanal Felipe, Alonso‐Martínez M., Coz Díaz J. (2019-05)
Numerical Study of the Interfaces of 3D Printed Concrete Using Discrete Element Method - Xiao Jianzhuang, Liu Haoran, Ding Tao (2020-11)
Finite-Element-Analysis on the Anisotropic Behavior of 3D Printed Concrete under Compression and Flexure
0 Citations
BibTeX
@inproceedings{ayha_iriz_lale_yu.2025.NSo3PUHPCUtLDPM,
author = "Bahar Ayhan and Elmer M. Irizarry and Erol Lale and Ke Yu and Matthew Troemner and Gianluca Cusatis",
title = "Numerical Simulation of 3D Printed Ultra High-Performance Concrete Using the Lattice Discrete Particle Model",
doi = "10.21012/fc12.1301",
year = "2025",
booktitle = "Proceedings of the 12th International Conference on Fracture Mechanics for Concrete and Concrete Structures",
editor = "Bernhard L. A. Pichler and Christian Hellmich and Philipp Preinstorfer",
}
Formatted Citation
B. Ayhan, E. M. Irizarry, E. Lale, K. Yu, M. Troemner and G. Cusatis, “Numerical Simulation of 3D Printed Ultra High-Performance Concrete Using the Lattice Discrete Particle Model”, in Proceedings of the 12th International Conference on Fracture Mechanics for Concrete and Concrete Structures, 2025. doi: 10.21012/fc12.1301.
Ayhan, Bahar, Elmer M. Irizarry, Erol Lale, Ke Yu, Matthew Troemner, and Gianluca Cusatis. “Numerical Simulation of 3D Printed Ultra High-Performance Concrete Using the Lattice Discrete Particle Model”. In Proceedings of the 12th International Conference on Fracture Mechanics for Concrete and Concrete Structures, edited by Bernhard L. A. Pichler, Christian Hellmich, and Philipp Preinstorfer, 2025. https://doi.org/10.21012/fc12.1301.