A Dataset for CO₂-Modified Bentonite-based Negative-Carbon Mine Fireproof Sealing Material: Formulation, Performance, and Carbon Sequestration Mechanism
Description
This dataset presents a comprehensive, systematic, and reproducible data collection characterizing a novel CO₂-modified bentonite-based negative-carbon mine fireproof sealing material (named TC material), developed for coal mine goaf fire prevention and carbon sequestration. The dataset encompasses four main components: (1) complete raw material characterization, including chemical composition (XRF), particle size distribution, and microstructural properties of municipal solid waste incineration (MSWI) slag, CO₂-saturated zeolite, and CO₂-modified bentonite; (2) systematic formulation optimization experiments, comprising 11 gradient groups for slag replacement ratio (0–100%) and single-factor experiments for zeolite content (5–15%), water-to-binder ratio (0.50–0.80), and main-to-auxiliary material ratio (1:0.12 to 1:0.72); (3) full performance evaluation, including workability (fluidity, setting time), mechanical properties (compressive and splitting tensile strength), fire resistance (alcohol blowtorch method), and sealing performance (O₂ concentration and pressure difference in a simulated goaf); and (4) carbon sequestration quantification under accelerated carbonation conditions (20°C, 60% RH, 99% CO₂). The optimized formulation (slag 50%, zeolite 10%, w/b = 0.60, main:auxiliary = 1:0.5) was validated through comprehensive testing. All data were collected following standardized Chinese national test procedures (GB/T 8077-2012, GB/T 1346-2011, GB 23864-2009, MT/T 113-1995) with calibrated instruments. Each reported value represents the mean of at least three parallel measurements. The dataset includes 12 Excel spreadsheets containing raw and processed data, accompanied by a README file documenting file descriptions, units, and test standards. This dataset supports the Data Descriptor submitted to Data in Brief and can be reused for machine learning-based formulation optimization, life-cycle assessment, carbonation reaction modeling, and comparative studies with other CO₂ mineralization technologies.