Dataset for Modeling Anisotropy in 3D Printed Concrete

2025-6-24
Bayrak, Alper Tunga
Shaban, Nefize
Saritas, Afsin
Meral Akgul, Cagla
This dataset supports the study titled “A Semi-Empirical Framework for Modeling Anisotropy, Spatial Variation and Failure Mechanisms in 3D Printed Concrete”. It includes high-resolution computed tomography (CT) images, validated Abaqus input files for simulating cylindrical 3D-printed concrete (3DPC) cores, and a MATLAB-based CDP parameter generator for automated material calibration. The dataset enables reproducible finite element simulations that capture direction-dependent mechanical behavior and failure modes in 3DPC using a hybrid modeling approach. All resources have been structured to facilitate ease of use, promote transparency, and support further research on the mechanical modeling of additive manufacturing-based cementitious materials.
Citation Formats
A. T. Bayrak, N. Shaban, A. Saritas, and C. Meral Akgul, “Dataset for Modeling Anisotropy in 3D Printed Concrete,” 2025. Accessed: 00, 2025. [Online]. Available: https://hdl.handle.net/11511/115068.