Dual-age strength and mixture evaluation dataset for gypsum-containing cementitious and backfill materials

Published: 9 November 2026| Version 1 | DOI: 10.17632/cc6hr3syvx.1
Contributor:
晋彬 赵

Description

Numerical data underlying the manuscript "Dual-age Strength Development and Mixture Evaluation of Gypsum-containing Cementitious and Backfill Materials". The deposit contains the 41 mixtures from two published sources — 16 flue-gas desulfurization gypsum–cement–fly ash–slag cementitious mixtures (Source A) and 25 fly ash–carbide slag–slag–gypsum clinker-free backfill mixtures (Source B) — with their mixture compositions, 7-day and 28-day compressive strengths (MPa) and derived strength gains, plus all cross-age rankings, factor-level statistics, model errors, ranking-retention and selection-loss metrics reported in Tables S1–S22 of the supplementary material. The underlying experimental data originate from the two published studies cited as references [1] and [2] of the article; all derived quantities were generated in this study. Model training scripts are not included; all numerical results are also supplied with the article as supplementary material.

Files

Steps to reproduce

1.Open Dual_age_strength_and_results.xlsx in Excel, LibreOffice or pandas. 2. Worksheets S01–S22 reproduce every supplementary table exactly as printed, including bracketed ranges and categorical annotations. 3. Worksheets Source_A_16_mixtures and Source_B_25_mixtures contain numeric compositions and strengths for direct reuse: 7–28 d gain = 28 d strength minus 7 d strength; rankings and factor-level statistics follow the definitions in Table S1. 4. All model-related results (MAE, RMSE, bias, ranking retention, selection loss, attributions) are tabulated in S08–S21 so each reported value can be checked against the workbook. See README.md for provenance and scope.

Categories

Materials Science, Machine Learning

Licence