Study on size effect of limestone-concrete composite with different joint inclination angles under uniaxial compression based on the discrete element method

Dataset Description This dataset contains the underlying data and author-generated codes supporting the findings of the study “Study on size effect of limestone–concrete composite with different joint inclination angles under uniaxial compression based on the discrete element method.” The dataset is organized into three main components: Data:This folder includes the numerical data used to generate all figures and quantitative analyses presented in the manuscript. The data are provided in .xlsx format and cover stress–strain responses, mechanical parameters, size-effect indicators, and statistical results corresponding to different specimen sizes, joint inclination angles, and DFN realizations. DFN generation:This folder contains the codes used to generate discrete fracture networks (DFNs) based on the specified statistical parameters in the study. The codes are provided in .dat format and can be directly executed in PFC2D version 6.0 to reproduce the DFN realizations with controlled random seeds and fracture attributes. Model generation and loading:This folder includes the scripts used to construct the particle flow models of limestone–concrete composites, assign material and contact parameters, apply boundary conditions, and perform uniaxial compression simulations. The codes are also provided in .dat format and are directly compatible with PFC2D version 6.0. All data and codes are fully documented to facilitate reproducibility and reuse. No ethical, legal, or commercial restrictions apply to the reuse of this dataset.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-10
DOI
https://doi.org/10.5281/zenodo.18557683
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on size effect of limestone-concrete composite with different joint inclination angles under uniaxial compression based on the discrete element method

hang liu
Zenodo (CERN European Organization for Nuclear Research)
Rock Mechanics and Modeling
article

Study on size effect of limestone-concrete composite with different joint inclination angles under uniaxial compression based on the discrete element method

hang liu
article en

Abstract

Dataset Description This dataset contains the underlying data and author-generated codes supporting the findings of the study “Study on size effect of limestone–concrete composite with different joint inclination angles under uniaxial compression based on the discrete element method.” The dataset is organized into three main components: Data:This folder includes the numerical data used to generate all figures and quantitative analyses presented in the manuscript. The data are provided in .xlsx format and cover stress–strain responses, mechanical parameters, size-effect indicators, and statistical results corresponding to different specimen sizes, joint inclination angles, and DFN realizations. DFN generation:This folder contains the codes used to generate discrete fracture networks (DFNs) based on the specified statistical parameters in the study. The codes are provided in .dat format and can be directly executed in PFC2D version 6.0 to reproduce the DFN realizations with controlled random seeds and fracture attributes. Model generation and loading:This folder includes the scripts used to construct the particle flow models of limestone–concrete composites, assign material and contact parameters, apply boundary conditions, and perform uniaxial compression simulations. The codes are also provided in .dat format and are directly compatible with PFC2D version 6.0. All data and codes are fully documented to facilitate reproducibility and reuse. No ethical, legal, or commercial restrictions apply to the reuse of this dataset.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 62%
Rock Mechanics and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.