DOI: 10.57760/sciencedb.32915
title: Supporting dataset for the manuscript “Macroscopic mechanical properties based on concrete microstructure”
title: Supporting dataset for the manuscript “Macroscopic mechanical properties based on concrete microstructure”

description: This dataset supports the findings of the manuscript titled “Macroscopic mechanical properties based on concrete microstructure”. The study establishes a quantitative relationship between the microstructural parameters and the macroscopic compressive strength of concrete through experimental testing and a theoretical model.The dataset comprises:1. Pore structure parameters: The volume fractions of micropores (V_c) and meso-macropores (V_m) for various concrete mixes (e.g., ERPC, SRPC, LHPC, PC series), obtained via liquid nitrogen adsorption and mercury intrusion porosimetry tests.2. Gassing fractions: The amounts of evolved water (W_c), total gas (B_c), CO₂, and SO₂ across characteristic temperature stages (100°C to 1100°C), as well as the amount of unrecognized oxygen and hydrogen gas (G) within the 600°C-1100°C range, measured using thermogravimetric analysis coupled with infrared spectroscopy.3. Mechanical property data: The experimentally measured compressive strength values of concrete cube specimens and the corresponding strength values calculated based on the hexagonal close-packed pore theoretical model.4. Source data for key figures: The underlying data used to generate the stress-strain curves, pore size distribution curves, and relationship curves between compressive strength and micro-parameters (BcG/Wc, Vc/(1-Vm)) presented in the paper.This data forms the foundation for establishing and validating the “microstructure-based theoretical model for concrete compressive strength”. It directly supports the paper's core conclusions regarding the positive correlation with gassing fraction (internal gel property) and the negative correlation with pore volume fraction. The dataset is relevant for research in fields such as micromechanics of concrete materials, durability assessment, and multi-scale modeling.
description: This dataset supports the findings of the manuscript titled “Macroscopic mechanical properties based on concrete microstructure”. The study establishes a quantitative relationship between the microstructural parameters and the macroscopic compressive strength of concrete through experimental testing and a theoretical model.The dataset comprises:1. Pore structure parameters: The volume fractions of micropores (V_c) and meso-macropores (V_m) for various concrete mixes (e.g., ERPC, SRPC, LHPC, PC series), obtained via liquid nitrogen adsorption and mercury intrusion porosimetry tests.2. Gassing fractions: The amounts of evolved water (W_c), total gas (B_c), CO₂, and SO₂ across characteristic temperature stages (100°C to 1100°C), as well as the amount of unrecognized oxygen and hydrogen gas (G) within the 600°C-1100°C range, measured using thermogravimetric analysis coupled with infrared spectroscopy.3. Mechanical property data: The experimentally measured compressive strength values of concrete cube specimens and the corresponding strength values calculated based on the hexagonal close-packed pore theoretical model.4. Source data for key figures: The underlying data used to generate the stress-strain curves, pore size distribution curves, and relationship curves between compressive strength and micro-parameters (BcG/Wc, Vc/(1-Vm)) presented in the paper.This data forms the foundation for establishing and validating the “microstructure-based theoretical model for concrete compressive strength”. It directly supports the paper's core conclusions regarding the positive correlation with gassing fraction (internal gel property) and the negative correlation with pore volume fraction. The dataset is relevant for research in fields such as micromechanics of concrete materials, durability assessment, and multi-scale modeling.