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Updated: May 7, 2026

Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent
Published on: February 21, 2017
Accelerated carbonation test data for concretes with varying slag content.
Jukka Haavisto1, Riku Paavilainen1, Heikki Alho1
1Faculty of Built Environment - Concrete and Bridge Structures, Tampere University, Tampere, Finland.
This study provides a comprehensive dataset on concrete carbonation, detailing test results for 48 mixes with varying ground granulated blast-furnace slag (GGBS) content. The data aids in concrete mix design and service-life model validation.
Area of Science:
- Materials Science
- Civil Engineering
- Environmental Science
Background:
- Concrete durability is crucial for infrastructure longevity.
- Carbonation is a primary degradation mechanism affecting concrete service life.
- Understanding factors influencing carbonation is essential for sustainable construction.
Purpose of the Study:
- To present a detailed dataset of accelerated carbonation test results for diverse concrete mixes.
- To provide raw and processed data for material properties, exposure conditions, and carbonation depths.
- To facilitate research in concrete mix design, service-life modeling, and carbonation performance comparison.
Main Methods:
- Prepared 48 concrete mixes with varying cement types and ground granulated blast-furnace slag (GGBS) content (0-72%).
- Tested air-entrained and non-air-entrained concrete versions.
- Conducted accelerated carbonation tests at ~3% CO₂ concentration and measured carbonation depth up to 84 days.
Main Results:
- Collected extensive data on fresh and hardened concrete properties.
- Recorded carbonation depth measurements and derived carbonation rates for all mixes.
- The dataset includes material properties, exposure conditions, and carbonation measurements.
Conclusions:
- The dataset offers valuable resources for concrete research and development.
- Enables benchmarking of concrete mix designs and validation of service-life prediction models.
- Facilitates comparison between accelerated and natural carbonation phenomena.
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