Machine learning for strength prediction and optimal design of sustainable concrete formulas
Given the large environmental impact of the concrete industry, which represents 8- 9% of global CO₂ emissions, the design of concrete mixes with low carbon footprints that still meet structural performance requirements will be an essential part of global decarbonization efforts. In this work, we bui...
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Format: | Thesis |
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Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/144609 |