ArticleMaterials (Basel, Switzerland)2025
Determination of Composition of Masonry Mortars for Conservation of Historical Constructions Using Artificial Neural Networks.
Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
This study presents a novel approach to determine the composition of masonry mortars and their types from cement, lime, and cement-lime using an artificial neural network (ANN). It also allows the preparation of mortar recipes for the conservation of historical masonry objects with properties similar to the original ones, but using currently available raw materials. An ANN was trained using a set of cement, lime, and cement-lime mortars with known compositions. The properties chosen for the ANN's analysis included total porosity, specific density, insoluble residue content, silicone (SiO
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