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Stefanie von Greve-Dierfeld
3 records found
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Machine learning in concrete durability
Challenges and pathways identified by RILEM TC 315-DCS towards enhanced predictive models
This review provides an in-depth examination of machine learning applications in assessing concrete durability from 2013 to 2024, with a particular focus on critical degradation mechanisms, including carbonation, chloride-induced deterioration, sulfate attack, frost damage, shrin
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The article “Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CC”, written by Stefanie von Greve-Dierfeld, Barbara Lothenbach, Anya Vollpracht, Bei Wu, Bruno Huet, Carmen Andrade, César Medina, Charlotte Thiel,
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Understanding the carbonation of concrete with supplementary cementitious materials
A critical review by RILEM TC 281-CCC
Blended cements, where Portland cement clinker is partially replaced by supplementary cementitious materials (SCMs), provide the most feasible route for reducing carbon dioxide emissions associated with concrete production. However, lowering the clinker content can lead to an inc
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